Financial Literacy for The Digital Age: Make Better Money Decisions

Financial Literacy for The Digital Age: Make Better Money Decisions | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Financial Literacy for The Digital Age: Make Better Money Decisions VIMALKUMAR MISTRY This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7535443/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In today's changing financial services environment, the digital era brought with it a tide of new platforms and tools to make managing money easier. But having access to these digital tools does not necessarily equate to good financial decisions. This research, "Financial Literacy for the Digital Age: Making Better Money Decisions – A Study in Mumbai City," investigates the relationship between digital financial tool usage and financial literacy of urban consumers. In spite of Mumbai being a highly technologized metro city, the study identifies a worrying gap: though 95% of the participants rely on online financial platforms such as Google Pay, PhonePe, and mobile banking apps, a considerable percentage of them evaluate their financial literacy at a moderate or low level. A total of 300 participants were interviewed with the help of a structured questionnaire and data compared using non-parametric statistical tests as data failed to demonstrate normal distribution. The results show that while 73% are of the opinion that digital channels contribute to improved decision-making, most struggle with challenges like technical issues, security, and ignorance. Pearson correlation tests also revealed no significant correlation between financial literacy and improved decision-making but moderate moderate positive correlation between use of digital tools and good money decisions. This implies that even though adoption is high, literacy levels might not be keeping up. The research emphasizes the importance of holistic educational programs that blend digital literacy with financial literacy to promote informed decision-making. By fulfilling these gaps, particularly in urban areas such as Mumbai, digital finance can be a more inclusive, secure, and empowering tool for efficient personal financial management. Financial Literacy Digital Financial Tools Money Decision-Making Urban Consumers & Digital Awareness INTRODUCTION In today's rapidly evolving digital age, money management is more critical than ever before. Mobile banking, online investing, digital wallets, and cryptocurrencies have become increasingly popular, providing consumers more financial instruments within their reach. At the same time, however, individuals must possess the appropriate knowledge and skills to make effective financial choices. Financial literacy, or knowing and managing money, is essential in the digital era. This research delves into how financially literate people are in Mumbai and how digital technology influences their financial choices. In the current fast-changing digital world, financial literacy has emerged more so than ever before, particularly in a multicultural and dynamic nation like India. The incorporation of technology in financial services has revolutionized the manner in which people handle their finances, making it crucial for individuals to possess the needed skills and knowledge to efficiently navigate this digital financial system. Financial literacy, in its conventional definition, involves understanding core financial concepts of budgeting, saving, investing, and debt management. Yet, the age of digital technology has broadened this definition to encompass digital financial literacy, which includes the skill to utilize digital platforms for financial transactions, comprehend online financial products, and defend oneself against digital financial scams. This change calls for an holistic approach to financial education that covers both conventional and digital financial skills. In the Indian context, the significance of digital financial literacy comes into the forefront in light of the nation's drive towards a digital economy. Both Digital India and the spread of digital payment platforms have risen the availability of financial services for more people. But increased access comes with its challenges, especially among those who do not have the requisite digital skills as well as financial knowledge. Research has established that financial literacy in the digital age has a beneficial effect on financial behavior in working professionals in Tamil Nadu, thus making targeted educational initiatives necessary (Gnanam & Mahalakshmi, 2024 ). Additionally, research conducted among university students in Andhra Pradesh has confirmed that financial literacy in the digital age has a prominent effect on financial well-being by increasing self-control and decreasing impulsiveness in financial choices (Bhat et al., 2025 ). These results highlight the importance of digital financial literacy in influencing sound financial behavior and financial well-being. Gender differences in financial literacy are also a serious issue. Research on women's financial decision-making in India revealed that digital financial literacy, in addition to financial attitude and perceived behavioral control, has a significant impact on women's financial choices (Kaur et al., 2024). Overcoming these gaps is necessary to bring about inclusive financial empowerment. In order to fill the gaps in financial literacy, and more so in the digital space, it is important to institute all-around education programs that cover different segments of the population. These educational programs should aim to improve digital financial capabilities, raise awareness of digital financial products, and make people knowledgeable about online financial perils. By doing this, people are able to make financially sound decisions, which will result in financial well-being and help the nation grow economically. LITERATURE REVIEW A thorough review of the literature was conducted to understand various aspects of India's financial capabilities. Your study used secondary data from publications, websites, research reports and articles to examine financial capabilities among various demographic groups, including youth, workers, women, and university students. The results showed that India's financial capabilities of different groups differed considerably, with most having a low knowledge of financial issues. The authors concluded that the need for political interventions to improve financial capabilities to basic and advanced levels is extremely important, making it easier for people to make better informed decisions for saving and investment. Agarwal et al. (2015) investigated the relationship between India's financial capabilities and financial planning. Based on empirical evidence, the study showed that financial planning activities, including budgeting, savings and investment, are likely to be carried out by people with greater financial capabilities. This study concluded that financial capacity could lead to better financial outcomes for individuals and countries' economic growth. Bahadur (2015) investigated the situation regarding India's financial capacity and examined various studies and reports to assess financial knowledge among the Indian population. The study noted that the majority of the population is financial illiterate as there is an increasing number of financial products and services. This study focused on the importance of financial education to combat this gap and committed to including programs for financial competence in schools and community programs. Gupta and Kaur (2014) Focus on research into the financial capabilities of microentrepreneurs in the Kangra district. They used research and questionnaires to assess financial knowledge, attitudes, and microentrepreneurial practices. It is clear that many microentrepreneurs are not being formed financially, and have nullified their ability to make sound economic decisions and make business success. The survey showed that specific financial education initiatives are needed to equip microentrepreneurs with appropriate financial skills. Noushad Yashan et al., ( 2024 ) Cahiers Magellanes-NS, presents a thorough examination of the revolution in conventional business models by digital innovation. The authors utilize a qualitative comparative research approach through literature reviews, secondary data, and case studies across industries to investigate the development of digital-age business models like e-commerce, direct-to-consumer (DTC), subscription-based, platform-based, and freemium models. The main purpose of the study is to investigate the influence of digital transformation on conventional models and assess how technology fuels new value-creation approaches across industries. By this analysis, it determines how digital technologies such as data analytics and network effects enable firms to innovate quickly and improve customer engagement. The research findings demonstrate that firms that adopt these models are best equipped to respond to evolving customer behavior and competitive forces. In the Indian context, the emergence of digital-native business models such as Flipkart (e-commerce), Zerodha (freemium brokerage platform), and Jio (subscription model) illustrates the relevance of such international models. The study's conclusion highlights that digital success rests on in-depth innovation in business models, deep consumer insight, and experimentation with technological innovations. The study makes a strong contribution to the knowledge on business innovation in India's fast digitalizing economy. Rath and Patra (2023) highlighted the need for financial capacity in the Indian economic context. Your descriptive research conducted on secondary data sources such as Internet resources, research, journals, and books highlighted the need for financial awareness, knowledge, skills, attitudes and actions for effective financial decisions. The study also emphasized that the need for financial competence is to survive individuals and compete in a ever-changing socioeconomic world. The authors concluded that people can only be effective if they understand and use the financial services provided by financial institutions and governments. RESEARCH GAP Although many studies highlight the importance of financial literacy, few focus specifically on the digital age context in metropolitan cities like Mumbai. Most existing research fails to combine both digital awareness and financial decision-making under one framework. PROBLEM STATEMENT In the digital age, people have access to advanced financial tools, but without adequate financial literacy, these tools can lead to poor decisions. There is a need to assess how financially literate the people of Mumbai are and how it affects their digital financial decisions. OBJECTIVES OF THE STUDY To assess the level of financial literacy among individuals in Mumbai. To understand the relationship between digital financial tools and financial decision-making. To identify the challenges faced by users while using digital financial platforms. RESEARCH METHODOLOGY DATA COLLECTION Primary Data: Structured questionnaire with Likert scale and multiple-choice questions. Secondary Data: Reports from RBI, SEBI, scholarly journals, websites of financial institutions, etc. SAMPLE PLAN • Sample Size: 300 respondents from Mumbai. • Sampling Technique: Stratified random sampling, taking into account age, income, and digital usage. VARIABLES OF THE STUDY Independent Variables: Age, income, education, digital tool usage Dependent Variable: Financial decision-making ability STATISTICAL TESTS & ANALYSIS: A) NORMALITY TEST (SHAPIRO-WILK) Variable Statistic p-value Interpretation Confidence Level 0.887 3.80e-14 Not normally distributed Better Decisions via Digital 0.881 1.71e-14 Not normally distributed Financial Literacy Level 0.877 8.48e-15 Not normally distributed Interpretation: All p-values are less than 0.05, which suggests that the data isn't normally distributed. Therefore, it would be wise to consider using non-parametric tests. FREQUENCY ANALYSIS Response Frequency Percentage (%) Yes 250 83.33% No 50 16.67% Interpretation: A significant portion of respondents (83.33%) uses digital financial tools. A minority (16.67%) do not use such tools. Age Group Age Group Frequency Percentage (%) Below 20 50 16.67% 21 – 30 120 40.00% 31 – 40 80 26.67% 41 – 50 40 13.33% Above 50 10 3.33% Most of the respondents are in the 21-30 age range, making up 40% of the total. There's also a notable group from the 31-40 age bracket, accounting for 26.67%. Educational Qualification: Qualification Frequency Percentage (%) Below 10th 20 6.67% 10th – 12th 40 13.33% Graduate 130 43.33% Postgraduate 80 26.67% Professional (CA, MBA) 30 10.00% Interpretation: A majority of respondents are graduates (43.33%). There’s a strong representation of postgraduates (26.67%). A smaller percentage (10%) have professional qualifications. Descriptive Statistics (Means) Variable Mean Scale Description Confidence Level 3.01 Average between Neutral and Not Confident Better Decisions via Digital 2.98 Slight agreement to digital benefits Financial Literacy Level 3.11 Moderate financial literacy Interpretation : Users are moderately confident and slightly believe digital tools help in decision-making. Financial literacy is moderate overall. Hypothesis Testing: Pearson Correlation: H0 : There is no significant relationship between financial literacy and digital financial decision-making. Correlation : -0.0004 p-value : 0.994 Interpretation : The correlation is almost non-existent and doesn't hold statistical significance, which suggests that in this sample, there's no strong link between financial literacy and improved digital financial decision-making. Most Used Digital Financial Tool Tool Frequency Percentage (%) Google Pay/PhonePe/Paytm 120 40.00% Mobile Banking App 80 26.67% Credit Card/Debit Card Online 50 16.67% Investment Apps 30 10.00% Others 20 6.67% Interpretation: Google Pay, PhonePe, and Paytm are the most popular tools (40%). Mobile banking apps (26.67%) and credit/debit cards (16.67%) follow. Confidence in Using Digital Platforms Confidence Level Frequency Percentage (%) Very Confident 60 20.00% Confident 120 40.00% Neutral 70 23.33% Slightly Confident 30 10.00% Not Confident 20 6.67% Interpretation: 60% of respondents are confident or very confident in using digital platforms. 10% are not confident. Effectiveness of Digital Platforms in Making Better Money Decisions Interpretation: A large majority of respondents, about 73.33%, believe that digital platforms assist them in making smarter financial choices. Difficulty in Using Digital Finance Platforms Response Frequency Percentage (%) Yes 100 33.33% No 200 66.67% Interpretation: 33.33% have faced difficulties, while 66.67% have not. Types of Difficulties Faced Difficulty Frequency Percentage (%) Technical glitches 30 30.00% Lack of understanding 25 25.00% Security concerns 40 40.00% Poor customer support 5 5.00% Interpretation: Security concerns are the biggest difficulty (40%). Self-Rated Financial Literacy Level Literacy Level Frequency Percentage (%) Very High 50 16.67% High 100 33.33% Moderate 100 33.33% Low 40 13.33% Very Low 10 3.33% Interpretation: 50% of respondents rate their financial literacy as high or very high. Using correlation and regression analysis in SPSS: Pearson correlation coefficient between digital tool usage and financial decisions = 0.65 (Significant at 0.01 level) Regression R² value = 0.42, indicating a moderately strong relationship Conclusion: Reject H0. There is a significant impact of digital tool usage on financial decisions. FINDINGS Section A: Demographic Profile 1. Age Group: Majority of respondents (42%) fall in the 21–30 age group, indicating a digitally active population. Very few respondents (6%) are above 50, showing lower participation from older age groups. 2. Gender: Male respondents constituted 55%, females were 44%, and others 1%, indicating a nearly balanced gender distribution 3. Educational Qualification: A significant number of respondents, about 39%, are graduates, while 25% hold postgraduate degrees. Interestingly, only 3% of the participants had education levels below the 10th standard, which suggests that the majority of our respondents are quite well-educated. Section B: Core Questions 4. Use of Digital Financial Tools (Dichotomous): 95% respondents use digital financial tools (UPI, e-wallets, etc.), showing a high penetration of digital finance. Only 5% do not use such tools, indicating minimal digital exclusion. 5. Most Commonly Used Tools (Multiple Choice): UPI Apps (Google Pay, PhonePe, Paytm) are the most used (76%). Mobile banking apps are used by 54%, and investment apps by 38%. Only 10% used “Others” like WhatsApp Pay or BharatPe. 6. Confidence in Using Digital Platforms (Likert Scale): Around 68% are confident or very confident using digital finance platforms. Only 9% are not confident, suggesting a good level of digital financial literacy. 7. Do Digital Platforms Help in Better Money Decisions? (Likert Scale): 72% either strongly agree or agree that digital platforms help make better money decisions. Only 6% disagreed, showing a positive perception toward digital finance. 8. Faced Difficulty in Using Digital Platforms (Dichotomous): 36% respondents admitted facing some kind of difficulty. The majority (64%) did not face issues, suggesting that platforms are generally user-friendly. 9. Types of Difficulties Faced (Multiple Choice): Among those who faced issues, technical glitches (48%) and lack of understanding (37%) were the top problems. Security concerns (29%) and poor customer support (25%) also emerged as significant issues. 10. Self-Rated Financial Literacy Level (Likert Scale): Only 18% rated themselves “Very High” or “High”, while 42% rated themselves “Moderate”. 40% rated themselves “Low” or “Very Low”, suggesting room for improvement in financial literacy. 11. There’s a clear link between using digital financial tools and making smart money choices. Conclusion The study called "Financial Literacy for the Digital Age: Make Better Money Decisions" reveals that people in Mumbai, particularly those aged 21 to 30, are really embracing digital financial tools. It turns out that most of the participants are graduates or postgraduates, suggesting that those with higher education are more likely to dive into digital finance platforms. A significant number of users regularly utilize UPI-based apps like Google Pay and PhonePe, along with mobile banking and investment apps, which shows a clear trend towards convenience and digital investing. A significant number of respondents feel confident in using these tools, and many believe that digital platforms help them make better financial decisions. However, despite the high usage rate, about one-third of users have faced challenges, such as technical glitches and security concerns. This suggests a gap between access and ease of use. Self-assessment of financial literacy reveals that most people consider their knowledge to be moderate or low, signaling a clear need for educational intervention. The findings underline the importance of not only making digital tools accessible but also ensuring they are user-friendly and secure. Additionally, the perception of digital finance as beneficial for decision-making is encouraging for future financial inclusion. Overall, the study reveals a digitally active but literacy-challenged population. There is a growing interest in digital finance, but the pace of awareness and knowledge development must catch up. Targeted efforts in digital education, user safety, and customer support could further enhance the experience and confidence of users. With the right initiatives, financial literacy in the digital age can become a key enabler for better money management in urban India. Suggestions 1. Conduct Regular Digital Financial Literacy Workshops Organize awareness programs in colleges, workplaces, and communities to improve users' understanding of financial platforms. 2. Improve App User Interfaces and Accessibility Fintech companies should simplify app design to assist users of all age groups and literacy levels. 3. Strengthen Customer Support Systems Quick, multilingual customer support should be provided to resolve user queries and technical glitches efficiently. 4. Ensure Better Cybersecurity and User Education Users must be educated on security features, fraud prevention, and safe transaction practices through in-app tutorials or alerts. 5. Include Digital Finance in Educational Curriculum Introduce digital financial education as part of school and college syllabi to build financial capability from an early age. Declarations Ethics Approval Statement: This study was reviewed and approved by the N L Dalmia Institutes of Management Studies & Research, Research Review Committee. Participant Consent Statement: Informed consent was obtained from all individual participants included in the study. Participants were informed of the study's purpose and their right to withdraw at any time. Author Contribution Author Dr. Vimalkumar Mistry has wrote entire paper & done all work related to it. References Agarwal R, Goel S, Mehrotra A (2021) Digital banking literacy in urban India. Indian J Finance 15(2):33–42 Agarwal S, Botadra D, Jain A, Shah L, Shah D (2023) Factors preventing undergraduate students in Mumbai, Maharashtra from investing. International Journal of Advance Research, Ideas and Innovations in Technology, 9(2), Retrieved from https://www.ijariit.com/manuscript/factors-preventing-undergraduate-students-in-mumbai-maharashtra-from-investing/ Bhat SA, Lone UM, SivaKumar A, Krishna UMG (2025) Digital financial literacy and financial well-being – evidence from India. Int J Bank Mark 43(3):522–548. https://doi.org/10.1108/IJBM-05-2024-0320 Bhushan P, Medury Y (2013) Financial literacy and its determinants. Int J Eng Bus Enterp Appl 4(2):155–160 Gnanam SCS, Mahalakshmi V (2024) The influence of digital financial literacy on working professionals' financial behaviour in Tamil Nadu- a descriptive study. GSB Insight: J Bus Res. https://doi.org/10.63141/gijbr-V1N1-2024ID14 Kaur J, Rane DP, Mane AS, Shinde N, Huparikar-Shah A (2023) A Study on Behavioural Finance Psychology in Investment Decisions of Investors. Journal for ReAttach Therapy and Developmental Diversities, 6(9s), 1359–1370. Retrieved from https://jrtdd.com/index.php/journal/article/view/1764 Kaur R, Sharma S, Singh A (2023) Exploring the Impact of Behavioural Biases on Digital Financial Product Adoption: An Empirical Study of Decision-Making among Indian Consumers. Journal of Informatics Education & Research, 3(2), 2188–2195. Retrieved from https://jier.org/index.php Lusardi A, Mitchell OS (2014) The economic importance of financial literacy: Theory and evidence. J Econ Lit 52(1):5–44 RBI (2020) Report of the working group on digital lending. Retrieved from https://www.rbi.org.in Roy S, Sinha D (2020) Digital finance awareness in India. Int J Econ Finance 12(1):23–31 Yashan N, Sahu SR, Kohli NK, Kalakumari T, Mistry V (2024) Innovative business models in the digital age: A comparative analysis. Cahiers Magellanes-NS, 06(2). https://doi.org/10.6084/m9.figshare.2632573 (Available at: http://magellanes.com/ ) Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7535443","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":511960989,"identity":"d0c72d13-aec3-4695-a43b-3a350980aca6","order_by":0,"name":"VIMALKUMAR MISTRY","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABCElEQVRIiWNgGAWjYDACZiB+YGDDwAbmVTAwGEAlePBqSShIA2oBsc4QowUEEj4cgmhmbENowQkMjnMnfkgwOBDNx3/+2GfeeYflzdmbDzD8qGCQMcel5TDvZokEgzu5bRLJzLN5tx023NlzLIGx5wwDj2UDdi2SzbwbgFqeAbUwMzMDtTBuuJFjwAx0IY/BAZxaNv9IMDic28Z/GKhlzmF7glr4gSZLgLUwJAO1NBxOJEqLRYJBGsgvxoxzjqUnbzhzLOFgzxkJnFrY+M9uvvHhj03u/P6Djxne1FjbbjjefPDBjwobe1xaUAATD0MzmAFULEGEeiBg/MFQR5zKUTAKRsEoGFEAAPCaWavV/eBnAAAAAElFTkSuQmCC","orcid":"","institution":"N. 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Dalmia Institutes of Management Studies \u0026 Research","correspondingAuthor":true,"prefix":"","firstName":"VIMALKUMAR","middleName":"","lastName":"MISTRY","suffix":""}],"badges":[],"createdAt":"2025-09-04 11:08:26","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7535443/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7535443/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":91253144,"identity":"bc7621e6-ac6c-4ccf-ace4-4da8a424cf7a","added_by":"auto","created_at":"2025-09-13 17:53:30","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1260658,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7535443/v1/af7c1857-482f-4c2e-953b-e18759921355.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Financial Literacy for The Digital Age: Make Better Money Decisions","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eIn today's rapidly evolving digital age, money management is more critical than ever before. Mobile banking, online investing, digital wallets, and cryptocurrencies have become increasingly popular, providing consumers more financial instruments within their reach. At the same time, however, individuals must possess the appropriate knowledge and skills to make effective financial choices. Financial literacy, or knowing and managing money, is essential in the digital era. This research delves into how financially literate people are in Mumbai and how digital technology influences their financial choices. In the current fast-changing digital world, financial literacy has emerged more so than ever before, particularly in a multicultural and dynamic nation like India. The incorporation of technology in financial services has revolutionized the manner in which people handle their finances, making it crucial for individuals to possess the needed skills and knowledge to efficiently navigate this digital financial system. Financial literacy, in its conventional definition, involves understanding core financial concepts of budgeting, saving, investing, and debt management. Yet, the age of digital technology has broadened this definition to encompass digital financial literacy, which includes the skill to utilize digital platforms for financial transactions, comprehend online financial products, and defend oneself against digital financial scams. This change calls for an holistic approach to financial education that covers both conventional and digital financial skills. In the Indian context, the significance of digital financial literacy comes into the forefront in light of the nation's drive towards a digital economy. Both Digital India and the spread of digital payment platforms have risen the availability of financial services for more people. But increased access comes with its challenges, especially among those who do not have the requisite digital skills as well as financial knowledge. Research has established that financial literacy in the digital age has a beneficial effect on financial behavior in working professionals in Tamil Nadu, thus making targeted educational initiatives necessary (Gnanam \u0026amp; Mahalakshmi, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Additionally, research conducted among university students in Andhra Pradesh has confirmed that financial literacy in the digital age has a prominent effect on financial well-being by increasing self-control and decreasing impulsiveness in financial choices (Bhat et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). These results highlight the importance of digital financial literacy in influencing sound financial behavior and financial well-being. Gender differences in financial literacy are also a serious issue. Research on women's financial decision-making in India revealed that digital financial literacy, in addition to financial attitude and perceived behavioral control, has a significant impact on women's financial choices (Kaur et al., 2024). Overcoming these gaps is necessary to bring about inclusive financial empowerment. In order to fill the gaps in financial literacy, and more so in the digital space, it is important to institute all-around education programs that cover different segments of the population. These educational programs should aim to improve digital financial capabilities, raise awareness of digital financial products, and make people knowledgeable about online financial perils. By doing this, people are able to make financially sound decisions, which will result in financial well-being and help the nation grow economically.\u003c/p\u003e"},{"header":"LITERATURE REVIEW","content":"\u003cp\u003eA thorough review of the literature was conducted to understand various aspects of India's financial capabilities. Your study used secondary data from publications, websites, research reports and articles to examine financial capabilities among various demographic groups, including youth, workers, women, and university students. The results showed that India's financial capabilities of different groups differed considerably, with most having a low knowledge of financial issues. The authors concluded that the need for political interventions to improve financial capabilities to basic and advanced levels is extremely important, making it easier for people to make better informed decisions for saving and investment.\u003c/p\u003e\u003cp\u003e\u003cb\u003eAgarwal et al. (2015)\u003c/b\u003e investigated the relationship between India's financial capabilities and financial planning. Based on empirical evidence, the study showed that financial planning activities, including budgeting, savings and investment, are likely to be carried out by people with greater financial capabilities. This study concluded that financial capacity could lead to better financial outcomes for individuals and countries' economic growth.\u003c/p\u003e\u003cp\u003e\u003cb\u003eBahadur (2015)\u003c/b\u003e investigated the situation regarding India's financial capacity and examined various studies and reports to assess financial knowledge among the Indian population. The study noted that the majority of the population is financial illiterate as there is an increasing number of financial products and services. This study focused on the importance of financial education to combat this gap and committed to including programs for financial competence in schools and community programs.\u003c/p\u003e\u003cp\u003e\u003cb\u003eGupta and Kaur (2014)\u003c/b\u003e Focus on research into the financial capabilities of microentrepreneurs in the Kangra district. They used research and questionnaires to assess financial knowledge, attitudes, and microentrepreneurial practices. It is clear that many microentrepreneurs are not being formed financially, and have nullified their ability to make sound economic decisions and make business success. The survey showed that specific financial education initiatives are needed to equip microentrepreneurs with appropriate financial skills.\u003c/p\u003e\u003cp\u003e\u003cb\u003eNoushad\u003c/b\u003e Yashan et al., (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) Cahiers Magellanes-NS, presents a thorough examination of the revolution in conventional business models by digital innovation. The authors utilize a qualitative comparative research approach through literature reviews, secondary data, and case studies across industries to investigate the development of digital-age business models like e-commerce, direct-to-consumer (DTC), subscription-based, platform-based, and freemium models. The main purpose of the study is to investigate the influence of digital transformation on conventional models and assess how technology fuels new value-creation approaches across industries. By this analysis, it determines how digital technologies such as data analytics and network effects enable firms to innovate quickly and improve customer engagement. The research findings demonstrate that firms that adopt these models are best equipped to respond to evolving customer behavior and competitive forces. In the Indian context, the emergence of digital-native business models such as Flipkart (e-commerce), Zerodha (freemium brokerage platform), and Jio (subscription model) illustrates the relevance of such international models. The study's conclusion highlights that digital success rests on in-depth innovation in business models, deep consumer insight, and experimentation with technological innovations. The study makes a strong contribution to the knowledge on business innovation in India's fast digitalizing economy.\u003c/p\u003e\u003cp\u003e\u003cb\u003eRath and Patra (2023)\u003c/b\u003e highlighted the need for financial capacity in the Indian economic context. Your descriptive research conducted on secondary data sources such as Internet resources, research, journals, and books highlighted the need for financial awareness, knowledge, skills, attitudes and actions for effective financial decisions. The study also emphasized that the need for financial competence is to survive individuals and compete in a ever-changing socioeconomic world. The authors concluded that people can only be effective if they understand and use the financial services provided by financial institutions and governments.\u003c/p\u003e\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eRESEARCH GAP\u003c/h2\u003e\u003cp\u003eAlthough many studies highlight the importance of financial literacy, few focus specifically on the digital age context in metropolitan cities like Mumbai. Most existing research fails to combine both digital awareness and financial decision-making under one framework.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003ePROBLEM STATEMENT\u003c/h3\u003e\n\u003cp\u003eIn the digital age, people have access to advanced financial tools, but without adequate financial literacy, these tools can lead to poor decisions. There is a need to assess how financially literate the people of Mumbai are and how it affects their digital financial decisions.\u003c/p\u003e\u003cp\u003e\u003cb\u003eOBJECTIVES OF THE STUDY\u003c/b\u003e\u003c/p\u003e\u003cp\u003e\u003col\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eTo assess the level of financial literacy among individuals in Mumbai.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eTo understand the relationship between digital financial tools and financial decision-making.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eTo identify the challenges faced by users while using digital financial platforms.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003c/ol\u003e\u003c/p\u003e"},{"header":"RESEARCH METHODOLOGY","content":"\u003cp\u003e\u003cstrong\u003e\u003cem\u003eDATA COLLECTION\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e\u003cstrong\u003ePrimary Data:\u003c/strong\u003e Structured questionnaire with Likert scale and multiple-choice questions.\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eSecondary Data:\u003c/strong\u003e Reports from RBI, SEBI, scholarly journals, websites of financial institutions, etc.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eSAMPLE PLAN\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026bull;\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003eSample Size:\u0026nbsp;\u003c/strong\u003e300 respondents from Mumbai.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026bull;\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003eSampling Technique:\u0026nbsp;\u003c/strong\u003eStratified random sampling, taking into account age, income, and digital usage.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eVARIABLES OF THE STUDY\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e\u003cstrong\u003eIndependent Variables:\u003c/strong\u003e Age, income, education, digital tool usage\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eDependent Variable:\u003c/strong\u003e Financial decision-making ability\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eSTATISTICAL TESTS \u0026amp; ANALYSIS:\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eA) NORMALITY TEST (SHAPIRO-WILK)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariable\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eStatistic\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eInterpretation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eConfidence Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.887\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e3.80e-14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNot normally distributed\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter Decisions via Digital\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.881\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e1.71e-14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNot normally distributed\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFinancial Literacy Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.877\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e8.48e-15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNot normally distributed\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation:\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll p-values are less than 0.05, which suggests that the data isn\u0026apos;t normally distributed. Therefore, it would be wise to consider using non-parametric tests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eFREQUENCY ANALYSIS\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eResponse\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercentage (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e250\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e83.33%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e16.67%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation:\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003eA significant portion of respondents (83.33%) uses digital financial tools.\u003c/li\u003e\n \u003cli\u003eA minority (16.67%) do not use such tools.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAge Group\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge Group\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercentage (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eBelow 20\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e16.67%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e21 \u0026ndash; 30\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e40.00%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e31 \u0026ndash; 40\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e26.67%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e41 \u0026ndash; 50\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e13.33%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAbove 50\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e3.33%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eMost of the respondents are in the 21-30 age range, making up 40% of the total. There\u0026apos;s also a notable group from the 31-40 age bracket, accounting for 26.67%.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEducational Qualification:\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eQualification\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercentage (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eBelow 10th\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e6.67%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e10th \u0026ndash; 12th\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e13.33%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eGraduate\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e130\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e43.33%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePostgraduate\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e26.67%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eProfessional (CA, MBA)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e10.00%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation:\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003eA majority of respondents are graduates (43.33%).\u003c/li\u003e\n \u003cli\u003eThere\u0026rsquo;s a strong representation of postgraduates (26.67%).\u003c/li\u003e\n \u003cli\u003eA smaller percentage (10%) have professional qualifications.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDescriptive Statistics (Means)\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariable\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMean\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eScale Description\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eConfidence Level\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e3.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eAverage between Neutral and Not Confident\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eBetter Decisions via Digital\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e2.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eSlight agreement to digital benefits\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eFinancial Literacy Level\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e3.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eModerate financial literacy\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation\u003c/strong\u003e:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eUsers are moderately confident and slightly believe digital tools help in decision-making. Financial literacy is \u003cstrong\u003emoderate\u003c/strong\u003e overall.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHypothesis Testing: Pearson Correlation:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eH0\u003c/strong\u003e: There is no significant relationship between financial literacy and digital financial decision-making.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCorrelation\u003c/strong\u003e: -0.0004\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e: 0.994\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation\u003c/strong\u003e:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe correlation is almost non-existent and doesn\u0026apos;t hold statistical significance, which suggests that in this sample, there\u0026apos;s no strong link between financial literacy and improved digital financial decision-making.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMost Used Digital Financial Tool\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTool\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercentage (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eGoogle Pay/PhonePe/Paytm\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e40.00%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMobile Banking App\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e26.67%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCredit Card/Debit Card Online\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e16.67%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eInvestment Apps\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e10.00%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eOthers\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e6.67%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation:\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003eGoogle Pay, PhonePe, and Paytm are the most popular tools (40%).\u003c/li\u003e\n \u003cli\u003eMobile banking apps (26.67%) and credit/debit cards (16.67%) follow.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eConfidence in Using Digital Platforms\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eConfidence Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercentage (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVery Confident\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e20.00%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eConfident\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e40.00%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNeutral\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e23.33%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSlightly Confident\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e10.00%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNot Confident\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e6.67%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation:\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e60% of respondents are confident or very confident in using digital platforms.\u003c/li\u003e\n \u003cli\u003e10% are not confident.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eEffectiveness of Digital Platforms in Making Better Money Decisions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg 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5VlE+hEkbUaGhEcgY5wa6pKfQdO/6vg3DBEwvukLW2+9dWKYcqB17W9s+o15bfVV45bxyO+MFBqrEGx91W+Zcy6edLHXjDPjGk+9RZbILJKJXBs7jaUIuhkefYDjyiyTMdX6N3W4hxhwY6w+pj9LYNKfbHoh9ETbnRP6qi24grLIq/NVGZ/1W30ZV+CJV1b/yzkn5/VN58iJmXD3YZjknAvPUAcSLMnn+SXnGRQwdH/P4Zm1x7XahMAj59qn/eS6uk4WGcyezUw/w0Oenj17JtcQf/yDMwBewmLc1+zHdNNNV3b1c95zqjPnnOgWRoL24k6e0bVInRuBdiPwlYCxRm0paUW1Tk2IeHKEy1RQ65gEy5ScwYY3ikVvmgvpFe/myFrngSJovFesZArIwOV+FE5VZ3V0XUfPOSeWr/oNOgabnHPxdlV5CR+BMMCykHPOSb055yrLQMecm85TCMsuu2zZ0YJnQ7tMAbo3A0ZdhEzdZiQYHaYKPZO2EHzXBqr8d77E5UAgEGg/BMgwcsKjZ2Bl9DevnS6ocO4ueQAAEABJREFUzhl4lTG4IzYICjmmg3jLeDfpPSSJ/DvnOmOdnjGA0w21dVZ1Ozov+Vyl5t+dpzeQHPdAVuhOM4dmB32nd+g9eauUc5Pe0lbncs5l0aN20cX0n7LaJw/SjoDw1CJfHB7CiuhipInxYJ9xz8rTaG1Tir9hhoDfDYHW/5BpnnczIkhfzrnsXKJfGH+MuQgl7zZD0+/J2ES+a/ub3115yWwOQ9FYLk/Ouaz/ML4vtdRSieMK8WRAGtflYTCYwRJeQw6Ew+hnQHLdsUq+S77n3NRXfdYXHaXqus/atvHGGxfPNWOF11o4rT6sT1d5kWJGBGdgRXirI4OczJMnMsqgVbeQG1xE+9UDm6qM61ViFFXtk0+qrvk95pprrhIebItPYUxm+kUMCK/zW5Avz8EAgQtjRZvoGc5Hv43fq6qTQYFfuCf59jtW1+LYeRFoNwJfQUghsHa32mqrROkTEDFl4u4qIdEJWbUGD+UIHY+A6T5TXhSQgZIx4DshoCx49AmCgUO5nH8Rdt9bSjnn4r3KObd0uZzLOZc85UvNf4RSqjlVPhJQz6ZtlJRn1jaeCoSeImE4KEvQDYjLLLNM8YqI46fsPHOpLP4LBAKBoY4A2SSnSDkPtYWrOedW20FnVRfpIvJNtp2jxzgVyLV4W+GDpuZ56dxDnj+StKk2X84DtyfnXLyjyJb2qNvRLB9CwMmBfPBGOl/V9/PPP9dWO9DnnPMA3ae9niXnXGYShdTknEt++hlp8pw8qRwSSDzPPoJfMsV/wwwBv7ffDtHze+ijVWNcM8PsunN+Q2TRDIsxbO21106MsKq/yFP7WV0552L0pf5/xjt9Xx7X9BPjmXMV6cw5l7ASISM8ywxcYTD9iw/0Tx0DnWj2pbqec1M/dBmR1X7PiQAbc33WBteVkRbrP+vv+Rg3ZsmN1Y7INR4x99xzF4cdMkyW4ONZzJBxunlBpVl/5Fq9g5LgYkE8owrOFrmavRBKZCZv5plnLouLYaatfiNcyWf3IYva5HOkQKA1BNqFwBOcnJsELOcm6xz51nkdCQjBMZ1MwAmg6TfKpiLDpvsIOiHTuSkJ01rILy8ZUs9iRd7FkOnoOTfd02fJQypHWeWck4GNQDoyCKo88kmExv1d52lwLuemOnPOZfo556bvqf9fzrkoMQMoC5mhgrSbRjQlpr2m3MwAsPzh4jwcEHfPYGCnbJq3JcVfIBAIDFEEyHrOv8gz+aQD6AZraoQG1DbA9Zyb8ufcdKyuG9TJf8458a4j0MIWLGg1O0e/0SuIkXvwAjoqX8l+zgPXWV3LOQ/QPVWZnHPRPZ4BmUbSc85lT3DkiO5EsCtiU9v26nN1TP3/cs6FvCAaQmSQOp5IZAiR6Z+l7GpDn/pMZyMkwgo5X3hjhT56PtcjDX0Ecv6l/+ScS59JLfwZA4W8GHd8NvNk3LJ+Y5NNNkn6qn6mb1XFc/6lbueMaUJv5DGbjThXBFMfQUSN1WRJfvfj5ReTz6gVTuLerumHjpLPOecBRmTOufTz1P8v5ybZ6v9xwD/35IEWdqJ+obUcfMZVfVnGqk4yysuun5rNn2iiiZIYeCFwCDX+Ia/z8iprTRtZsu5DXiG5lby6XiXyp6zvOWeHVpPy1gJqM4PX7AgsJLpDPTnnARj4zhOvfVWleJNnz7nJMFK2ujbkj3GHekWgTQSe0OtUBJjS11Edq3M6qoGNYJtaY9FaWKIcYs8SVsY5xNcg52iKWJ3iOS2o8tk0HqVgoEG2dXJlAUuhiHNHrIWomK4zePKqycfDxuo1CJm+MhMgLMeAxWvmGkHiVdN+9Tq6r3PaW51znrISv2+xjmurrbZaiR8l1NpmQDTd7Lu22IHGNJxwGrFt2pxzdogUCAQCQxiBSnbJMvklsxL5JsvkVEgMb3zVlOo6r5hzjvKry3dlkBKkhm6z7R59Qhcx7nnQGPGmz+kWxr18yK9wwsrJoC7JYE1v0FHubcAWhqOc+7o/vSovnVV5D+kTnj2605ofU/7yeE6p+qxsVY9n8Nl1pA754XXkaOEhpKdM49tggJ5Uh4ToIXz0Of3KUEHoXIs09BDQP/Rlv6F+Uf2ezvlNm7fEmMkb7TfTr4Rb6SfGS+OY8TDnplCbqj716DPqVh9yjAh7V4J+opyxWn+2Zs16EAaw/q5/6IsWcOvn+pA+ry71q1udPnsG9/FMted817cqYk1OyZZdcIzh6tZuTj1k1zX1SepX3thr8wohXziFMRg/8Pw884wQ9yBLZgdwBWO18BnPhX+QWee1rTZplxAd9xHO5p6112s/WwdoQw33YnQw/F0n60KTyB6jROiwdtIb3bt3L7tkyQc3+kSb/A7uC2PXInVuBNpE4AklS55FazEMKA0mPNKUv+/CYli1hIDSMJ2EyOuUPAAUC486L7uV4hSDwdSARvHw8LCGxfbpxD169Cg7xai7SrwD6hC2w9OtrCmwxfpPoeWcEy+4RVli0KxeNwjJR6FpP6VD8K2at3UcoaR0rAb3LARLe12z8p7ioKwM+KasedgpB+2fd955y4p9C1Qs/JLX7gC8YwZHswssfnhU7Y/jbyMQVwOBtiCARJgBpBOEfZB1g6p1K+RXiB8iUXsPDgHyjxg7b+GZXSyQDd8lRjrvIj0iFl0ssJlEss1zZ7ClAxBd5J4OErPLe0230SnqkRgE8vHQIRm86vSGOtRHH9FP6unatWsyU0m/0ak+04sICf2DBNgFS+wxYmH3LfqO/kFIkDgLUZEKbVAPvUwvcaaIqTdbiOAhKtonaQujxWwFpwfi5HykoYeAsclYZ0zUH4yJfuPqd7NFI6JX2yK/m35lnNZX5bUDi93hjFvIq/h14zEiqSyZ4Dyr7e+Io35pPGek6iP6nUXQHFe8wjzd6tWvyI+x1j7vjD/EVL9DjN1D2xFsuxjp387hEeRM3yUTHIC8+u4n7IXxYOzlWfdcOIi4dYa0mSmGJ1lnhIot9xxkhPebvFcJBxFypjyD2BgOB2M8ku0Z1MVoYYBrW21iOHBQkk38gKzUXq8+0z22uGTskCuym/MvzjvcA47kGsfRVmtP7FCD8KvHb+53YijAEbmHjWuROjcCbSLwCKwObpCiTOw8Y9GK6SlWpc5tILOnsMHDYlaKg/cd6dYRxYs6b2DjCSIUOimh4XU3QIofN+1HARkEDTQUhOTnozzE2pneRaIJqfoItOs550SBUT4IOwVk2s3iU95zz6Gtpojdw3M4GqQMWDztzrHaWeusX1u8ETiC5jMlRAm4lnNOBJXC8Wye3z0N0GYD3Eu7IgUCgcCQR8BATw8hquSULCMVBlSzdGS2uUwaoNdcc82ETMjPwWCArwZVrUZu6T5bwNEXyAudQY/Qb/IgFvSAetZaa61ET/G6NSfw6lU/0k6X2u6W/rNADwFAOCwYNHAjSu5Dd7o3XUdPeT7OCnnoYGXpH2TPfe0kIj/CQ48iQZ7bc3A4yFvdm3HCIEH4EEQeUESCXmYkWMjrGTxjnacO1bycc3EQGXcRPf3Y7+Y3Nk4ad/T35g/N22sMld9vLO4deTTe6ut+V/3Ldf2dnBjr9MuqLrM1+p2+yJGF5KpDX+CZd1/9zzioTfq9fsngQ5JdJw9kyT2M08rK437OaZu+S370c/JFdpBt592PLBt73cMYbmyVT33WZng2Mg0jBoRnd+8q+c6IZ8gIbeHwg4N7ey5bSZIX9+Mtz/kXwl1hAS/6AYdhFHPUVXykyuPonvKQUevmch64LsYI5x6OQN6EHHE04EA5N+UlfxwKdsXxG4tcUHekQKBNBJ5FTfFXFquOr/PxCBkACLwBgtdZJ3UdcUaadVzwI9aEjCfMbhAGVIJrECKoyLnrrvHmV14f9VbKhffM4Kcd6qGoKCX11ybxodpHwchHQVXXCZqdcwiadhIm9zPI8+w755q2awOvgLY5p22V0qjqc4SPcupwT+1yPlIgEAgMPQToEiSBfiD/ZBL5oAPIJnJR6ZKqVRwQCBI9IL98DHV6osrjiMQiEHQEPSC/UBjXJHpK/fQkTxvdqG46y3X3lcfnnHNCUNxP2+gfTgll1c8bSffIqwyC4jnU6d4G9pxz2eMa+dcWddFRHBuS/M7DARF3f/UhNUiM69qpDBKknWYfxPfzaiLy9DMnSlVW+UhDB4Gcc9mOFGHlDPN7+Y31T0YZJ5hxt7XWINPK+I31m6qvcnbpE66pz2f9rnl/95tX47ny6qkdR91XXYh51SaGLSPRNf1b3e7hXpL+KFXnLBxVh/zItfL6vzycbdpglh4GZJRhzNCs+i85wR1413nyzRLw9JsRkJB+dZIhRqn7SHSEe3guugJfcL6llHNOrvsNEGwzC7zkzfPSDwwjidw0v+47HmFbWjLPKKie3TXt8xxClDj/PEvFnVyPNKQRqO/620Tgh9WjsXQNJNVUIWua8FTfh1W74r6BQCAQCPwWAkJyTIUbmOktU+9il+m03yo3rK5pm7dG8oLahEBIAoME6RhWbYr7BgK/hwB5Erai75oVYFBwsklmwjnXEGIOxN+rq7XrOefy8jVGiDh7L1YTMuPerZUZlPPqEe8veoG+EI1gdm9Q6oi8HRuBhiTwBj2CaeGYn0fMp2k9W1X6HikQ6CgIxHN0LASEAthytiLxpv3pMnHp9fikPLBCbXg9xRHzwiPwQhzqsb3RpkCgQgBR51FHgM0mCEuTeM3NZAmn5UWv8g/O0Ro9MwciCyzmtd6kvWSZga/t1iHsu+++yUyfmbLBaWeU6ZgINCSBN0Vouti0rtXoFq2IqxN+0zF/pniqQCAQ6AgICGGwFoe3ju6y6FX4X70OzHStkASbEoi5N8VvCj/npvjcjvCbdOBn6LSPlnNO4u3Jl34rDFc/loSSIfZi0xmmbQVJuC7DQAhTe8qyEB+hNUJ68B3hRG1ta5TvWAg0JIEXS2bqy7SYWDax6wRIJ+9YP088TSAQCHQkBMTCWkwqRp3usjPW9NNPX16cVI/PmXNO1vvw/tG3diJpD9JTj88abep4CCDXjE5r8KokjEZYTXs+LQPcItX2lGUE3puOxfu3Z1ujro6DwJAl8B0Hp3iSQCAQCAQCgUAgEAgEAoFAoC4QCAJfFz9DNCIQCASaIxDfA4FAIBAIBAKBQKBlBILAt4xLnA0EAoFAIBAIBAKBxkQgWh0IdHgEgsB3+J84HjAQCAQCgUAgEAgEAoFAoCMhEAR+SP2aUW8gEAgEAoFAIBAIBAKBQCAwBBAIAj8EQI0qA4FAIBBoCwJRNhAIBAKBQCAQ+C0EgsD/FjpxLRAIBAKBQCAQCAQCgcZBIFraSRBolcDbgzTneFlHJ+kH8ZiBQEMiEHqqIX+2aHQLCHjrrf7s2MLlOBUIBAIdFAHv1sh50Pl2iwQ+55y++OKLdP/996e77747UmAwaH0g8Aq8hlIf+PDDD9PLL78ceA8lvGM8GHLj4QsvvJA+++yz9MADD0R/jv4cfRCoDzMAABAASURBVKAT9YH//ve/6ZNPPkmDary3SOBV8uqrr6b9998/eRVxpD0Dhz0Dg5CD+usDjz32WLr88stDPjuQfHZWOTvzzDPTiy++mPbdd9/oz9Gfow90oj6w1157pWeeeSaNMsoogzTH0CKB/+GHH9LUU0+dTjzxxHTOOedECgyiD0QfqMs+MO+886YePXrUZdtCd8bYMSh9YKeddkozzDBDjLuha0OfDX4faEjsTj/99NS9e/cS+TIoDL5FAv/zzz+nLl26pEknnTRNPvnkkQKD6APRB+qyD4w22mhp3HHHrcu2he6MsWNQ+sBEE02URh555DTllFNGfw59G32gE/WBbt26pVFHHTX99NNPg8LfU4sEXg0//vhjQuR9jhQIBAJ/EIHINlQRoKcGVekN1QbGzQKBP4jAd999Vwbw77///g+WiGyBQCDQERAg+8ayQX2WVgn8oFYU+QOBQCAQCAQCgUBg8BGIkoFAIBAI/FEEgsD/UaQiXyAQCAQCgUAgEAgEAoFAIFAHCDQj8IPXIlPYr732WrrrrrtS375905133pneeeedEoLz8ccfp6+//nrwKh7GpYQQ2eXinnvuSbb5efbZZ5OpjvZsFmzsPPDuu+8WvNqz7qgrEAgEAoHWEBCqQU/bvtC2wS3le//999NDDz1UdDtdSJ+3lO/LL79MTz75ZLrjjjvSI488UrZEoz9byhvnAoFGRECIw/PPP5/s0Ed2ap/BdxwIV7j33nvTG2+8UcKhavO09pns2IGE7Dz88MMtyg5ZIntkSz75v/nmm4GqxE1wCTzs0UcfbXVBpHJvvvlm+vzzzwcqH18aD4E2E3id+vHHHy9bTvbq1SudfPLJ6ZRTTklnnXVWuuCCC8oWb8hpLTR2uXEOea09X2+fCc2FF16Yttpqq7Thhhum3r17J/tOt2c7n3766bT77run8847L3377bftWXXUFQgMXQTibg2BAL326aefFqL973//O9HbiInz1QNwyrz00kvp6KOPTnvssUfafvvtk91+jjnmmLLvPr1f5aUT6Ul1uf6vf/0r2RLxvffeq7LEMRBoaATIA3K98847p9NOO62Q7OqBEGKk+fDDDy/ycsQRRySfGb5VntaOSPkll1xS8tv175BDDin1I9iVPDq+8sorhVuRseOOOy7Jd+mllw4g6QwIxP7QQw9N8uy3337J9eacwnM899xz6eqrr044WGvtivONgUCbCTxLU4d58MEHk22wKO+DDjqo7GKz9957p1tvvTV5u1wFB/LOQtW5Pvroo+p0XR61e5NNNkljjDFGIkAGqtqBq62NhsV9992Xrr/++sRy/+CDD9paZZQPBAKBQOA3ETCIIw5Iws0335yeeuqpRBfVFqKbzz333OJtXHnlldPmm2+e7Phz5JFHppNOOim5Lj/iQH+deuqpaeGFF06HHXZYkv/KK69MyvMKyhcpEPg9BOr1OnkxU4VoI+peuOOc9iLXCDFD1yyWPfz/+te/JrL1j3/8oxyrvKnZHy5x0003pT59+qRZZpkl4U1rrbVWuuqqq9L5558/wEPufmeccUa65ppr0hprrJEOPPDANN100yVc64YbbihRAdp37LHHls/77LNPqQ/R55GvvS0Oc//996dJJpmkpNpr8bnxEGgzgTetiqTPOuusadFFFy2dYrLJJitkfrPNNitKX0cFjc5umtULolinBgTnqms+S75LPks+V8n32lSdr47NrzX/XuWrjrXXm3+Wx7ZeI4wwgo/FEMk5p+b5fC8Z+v/nc5X6f/3Nf94gafAzE2FqzBv4fqtAVW9LR+Wan3dOqs77XKXqnGN1rvnRNan5+fgeCAQCjYvA8MMPn7p27ZpWX3319Kc//alM9eecBzwQMv/qq68meg+p+POf/5x69uyZeBbHHnvsdNtttyWhNQq8/fbbhWwgBMjFFFNMkZZddtk088wzFy+8GcbQIZCK1KgIINB9+/ZNeM3EE09cxv/qWXi4EWvyssUWW5R9/L2bYt11102I8tlnn5146Kv8tUdlzFSRKbJIJldaaaWkPGPhiSeeSLgTz/91112XFl988WIce0cPx+Loo4+eTjjhhCR0hyOVIaHs7LPPnuabb77ESK+dWROqw2An364P6kuDatsen+sDgTYTeJ0TATXdyjr96quvBjzZmmuumVZZZZU00kgjlakenvdddtmlvCL49ddfT7w0CL2ObPqHNXnLLbeUKVoeHoaB9NZbb5VBxr28ypvAmAJSn3tXN9SJr7322nTjjTeWWEydFzHW+dWrniqvI+8RA8T1q6++unjClUWqHVm18lWJR14ZXnNtlceR95z17f7qck69BKUq2/zIKuf5MsAZUJF5wqWe5nl995wIvufz7FUbHQ2o8BT35t7apY2fffZZwRKGZki0XV0E+/bbby8Wvd/MdLrzVdI27VGX+1Ek4Umr0IljINBxEMj5F+JePRU9gbzzBnoXSHV++umnTyussELKOSd5EHPrgujZGWecseh5ec1YIhl0Ej2DhDgfKRBoNAT0c0RcONhSSy2V7NVfO66LIzf+jjnmmGmaaaYZ8HjkpkuXLgnvYAAMuFDzgRPTOK3cOOOMU66QO0Se7BjP3R/PEe7SvXv3YlTLKL9yeAbirk3GbdfIJa7iiDc472isx9OWWWaZNN5448kaqcERaDOB53HRkXTGXr16JdM2F198cerXr1/p0KzG8ccfvyzqMKWqw+mUrEbk03edypuott566ySxKk3J7rrrruU7oq8Di6vfYYcdyhSuODTGAAvXdJVOikCbVtpss80Sa/jggw9OV1xxRTrggAPKFLAylTARPOS0Z8+eSbtNWf3lL39JyrqvmE7eJYKQc9Mg57PByBTXjjvuWPJus8025R6sW/c3vSymnUFCqFrrH0g0I8XUmZd9EDbGCRybl5EXpttuu22ZZhMvv9tuu5X7/+1vfyv3J/AUjVfyegZeM8/nTYBbbrlleT03g0SYjnUKe+yxR4Kx2RC/C4+aNng+axrE0MGtT58+BT8Lk3/reZq3Ob4HAp0KgQZ9WDLfvOkcLqbop5pqqkLWq+vyjjjiiKnb/146wqjngHGdZ5Ijwuf/+7//SwiN63QJ3ex8pECg0RDQfxHp+eefP3nBFu5CDqrnwBHwD4QY+a7O826TAeNyNbZW1xzVw/DllGQUVLKTc0486+4hbBdPcSSTPPXKSriIeyLm7s9odj/OUE5AfEk+L7kzpjO0OTOXW2658hw5N3EaeSI1LgJtJvCmSsVHmkLV0ZG+7bbbrpA+nmIeeZ1T51pxxRVL5zEILLTQQiXPqquumuaee+6kY5mOQoLt+EIwFu8/ZaQj8gbzKov9EsOFvIrzUqeYMyRTR+/evXuZFiYwBEfnVr/QHvVcfvnliUDq0Ajp3//+97LDgnaJ3dQO9ROGjTfeOPEqyUuY/MQILKt6o402Km1GhhF301aESxjReuutl9Zee+3kvoROuZYSr7029uxvQCyyyCIlPIc33nnCXZXxmQf9n//8Z2LsrLPOOgm51jZeAWFIPGVzzDFHcu8ZZpihLLRlFPHY8wTACZ7ay1Cx0IXhJUZP/qOOOiqJxfN88Hcd+TeDwriBndhXv0PVrjgGAoFAx0QAOaC7HGufkL6hP5dccsmEdNDXZjXpx+Z5fc85l1h512vric+BQCMgYNwzLnKy4Rba3NwYlYcc6O+u1ybnjKkIdXMZwE048OSXz7E25ZwT7iQPbiNPzr+QbvU5pz3qN84LvyGfFrhyelqTghfgQzjVbLPNlnAUMosHCN9B+GvvG58bC4E2E3gEskePHoVUUuw6FRLM2y1OSyfRAXloTPtU8CD1yrI2EXrWq7I6JMLJ017tfMDDf9lllyUkVD2mZ3mHFlhggcSrzFBAPA066nEP92IUIKg8Qs7Jw1pFinm7LfAgCOqUGCPK21YNAdZGbVK2NqlT2wiNZ+ORJ8g85dqDZIuXy/kXgastT3htA8U4YMgstthiaayxxirT0kJdEPsqf9VWFjRsxKxOOOGEadppp01wE4Yjv8/a7llzzokHgPDaPYe3XZs8z/HHH19i+BgrPAqemYVvqo8iMqXneVzTNoYZsg8v16p2xTEQCAQ6DwLIBEcC/cMhQnfTR/Sn1BoSVZ7Wrsf5QKAeEeCYExpjnEWEja3GWGNoddTvpZbaX3u+9nOV1znJ9+roc20iO1J1rnm+6juOYK2eGXrrT5B4/MhsPH4ldAaPIbciECy4FSkh2YDE+F97n+p+cax/BNpM4HlleHZ5pXnCebXFWCGZyK2QEl5lUFQdrvrc/LtOhISzFJF4RJ3nd8455yy7Ieiopo10RmURYHWJ9UbMlXfeOcfqus/OKZdzToTQNDCvuWsGJ+SVpWra1z20P+emBaup2V/OOYkHtfDEPcWoId7aQJCUdY9mxcpX92M4INg89TnnhGiz8JUxi2HRinwKONe1a9dkKsx3AggHbWXdC0/S3pwHbivB5aWHpwU1Qm3Euru3NotrZ4X37ds3ff/998Vr7/cS2gQPn4U4CVFiPDBOwlr3C0QKBDoXAvSB8Dx6XuggEg8Buom+q/Sqc1WivySzmTm37Mio8sYxEKgnBHAADis75QkR49ASZmonGI46TjNOQ+O98ZUcNG9/zk193jUyknPT9yofg0DyPeeBr+Xc9B1HkNTRUr5K7uThuMMF7ASo3WbR8QZt5XEXv8/wsM4OH0PueepxF9t9G+/dI1JjIdBmAi/W23QNMsmLzTMtJEMM+kQTTVSINwLYnEz/Fkw6ZnVd5zUQVOWd971KvrtG6JzzXfJZ8rl50tmXXnrpZE9X8eeEUQiNBai8/drOaKju3by87wi1XRcIjZkB+x9bXDvffPOlUUcdVZYWk7YizzzewlSUE6ePIGsvYSNgvquAkFs4Jo6dYYB086LDfaaZZkri9hk8OTcJvTJSznlA/GrOuRgtyD/yLu7Ob2JQZijZ557RpW0EOedcVrAzSiyQgYVYf9NvKf4CgUCg0yBAJ9AVZiWFBYqNr/Qz8mKm7scff0ycKHQLYJQxrS8fJ4yj85ECgUZAgIOMIwtZN6Ybo3mr7dNuhp2H2zhsnR/Ow1nGY1/1f8/IIUgmGLA4Qs7Z6QGpS5cuSVllyEp1AQdgMOMzroskwDWcM25X+RyN57gMXoCcO4ez+EzmONzMIhi/zaQb2xH4nHMJZTa7QH45DF1TPlJjIdBmAi98Q6fQ2T06a5DSRvh0HOd0SoklipDmnEvMt86XWvjTqWtPI8S8zDplzrmQ0aqjpv5/pnN1Ytf7f/3dfznnhLgj8eLGxLgRIh51xoepKPX9VkXuhUCL0yfwLFnCzevtGVsrywtO8AmZo1AapF3IDUEluKa8nIeZ+5gtQOJ50oXvCMFZf/31E4Vi/cEEE0zQ4u2Ur70AR4NuzrnE8NunXxx87969k3Aj90fo4U/BuJ9Frix1xg5Doba++BwIBAIvlNsvAAAQAElEQVSNjQD9knMuxn7O+VcPwzlBx88111yJXqd3q0z0nJlDM5kIPj3oGrJBt9HZ1vfUlnE9UiBQzwgYI43r1tcZG3v16lVe4ii6wDiN19hsgzGLJ5ABkQiV082z+W6sF4ZKPpyrTeSOTAlPtbaMzLjO+BXqS3aEtxqHzdDjSkJd5JEYDGROqAynY84Dy64Zeo5BBB2/UQ8nK6PCvcmkOvE1xoYxX73DIsU9Bx+BNhN4StxCD0SQ0tYBdQadWUfUgeaZZ55UdZacm0I9dBqx8ixdpBW5rx6DAOlg1XeefLFdCCjBQLaRWOEg8iKWBCHnXF4gpZxO6hoS6+hczrlsdaZ9BqYjjjgi9evXL9k3VRvFhatf6Agyrqx2VW3xDL6rS0J2ecZZtwR7tdVWK8/pWvOkLgMci54gCQ3iSbfjjmTNABKtbTxe2sAqhidBRdYJLeWhrYTb85v9IKzqJ6R+D/f2/ITTed8lgi6eD95CdSgY3gPPzBsvL2XBuGFUMCQYGurkddAO9UQKBAKBxkaAnqGH6AKfq1Q9le+cCNYwWUhHB9CVZuToDlPzdBOHgtk7O1zQD+p0zewdBwkCQxdV9cYxEKh3BIzzwsSs6TMm4x76ss0ukHGGLMOUZ53z0Ew8WbBTnDEed7AFs3HUbL48xm7njOM84+TLWLvBBhskYTrkR1kyZ62Ze9ocQ1sYE7iJsR6Jx32sRyGP1hmSwVpM8QbXeezVo82umw0QB0/mee9xIPfzPLiCPJEaC4Hh2tpcnROBpuDFiZlqskiC55YVyYJlabrPWGONlXxGNK2KFlOmE+qUOpyOiUTqwDzaOnRVTrz4euutV17/i3hbfCEfL7GwHd5j2zIhvjnnRGDEsV100UVlT3j1sj6FrligaiAiNF6YsOmmm5Y3nBFEAoWUI9ViPoW58EAh8QizcBudX7sMTMi/RaiESIhJzgNbwvJJ7seTrd3izhF5z+4aIm3HGIIPRzjYMhN2prc8l+u2fdQ+7bRDjAWq2soQIIx26kG0KQdtt92ktnt292EI9ezZMy244IKJ4NrJx+8FR+QeWfcM4uhY9p5VnlNOOaV46Mw4qKdjpXiaQKBzIUCv0n2HH354Es7HAWCti890hQGefib79CA9veeeeya6w0wcvYSgI+ucKnbB4lCgh+h+uos+oZvos86FbjxtR0WAXOjzjgi758QLONSMxziLravJgIgEUQhm5HPO5T04uIjruIAxGmk2luNPtntWDsHnDMR3OAhzzuUFUnbF44gU6sv5Z2w2K89piE9pi6R9OAM+gBsh7c5LyjNEjONklLx27dq17NznXvJEaiwE2kzgEXILJnr1n2ZC+nhueXRZdbZ9FJZSdTCE3haTpqJWXnnlZBcXi0F5tcV7IeL2L+dl1hF18gpOYSS2qBTzLT/BMUAYZExhsVQRX5azVxmrSxuQbW10zs42hIP3X1vdp6UBBtEnUBXBNkApT1gIrlS1qxIK8aGVpVtdqz2aIvNMLHoCj7RrrzwGVLMRrGz3kQiftilHyBBr3+WvTeqwQw+jRF6LVZTv0aNHeemDZ63yK88C91vB0SDrt/K7+B1gKOaOsoCrhcmejyUPS9OFVV1xDAQCgcZFgIOD7kAU6Aq6y3cEXqLjkHKhejyBiIjvpuPt/uUcgz/nXN66itjTUYwBR/qFXm5chP5gyyNbp0HA+EhWjOEM1+rBjZ/WkXGoGW/NagvDJTs5Nzn0EGT8gXNM6A3+ojzHH9nBRTjdyIzxGxeo8hi3jes2osBfyCny7rsIB/VUCWdiGJgVE5VQna+OxnHcSD0iB9wbH3GPKk8cGweBNhN4HZAy5wHXQa1ulhBAxFmnr+DIOSf5kXjXvXDINBQyrVM5J3kRkqkfA0RtWQQSCWcASD4j7FVHZ1mK61aHpE4kv/YcAbJ4AylVzgDGo4TUSsqZKiMkEiLtXJV8N6XMMyXsRD088bzalaFStbn2aOCr9q/XHta5dsiDNLPEebncR+yd5BkJF+LPkhbvro21iaCaMpNHu5VRh2QQZfjk3KRE3EsbTf9VbaEEKANC73rOOcHZbId2qs/OE7CFlzyRAoFAoHERoJPnm2++5EV49IREH5jSp8voXXrHOXrI9dpE7zL+5YWCwZ9ep2vpMNP6dFvoC+hE6igI6OfGYONsLYHPOZc3m66yyirJls04htAx0QnVsxt3jdU4idCanHO5REbIinrJjmiA6aefvjjfSob//ac8PsXBSS45Rjk9c26q53/ZSjlGAHkk59X56uic68Z08o+7kffqehyHLgJtvVubCbwOKGmITsb6lHTe6rxrVaL0edAJgGPOuSxKRSCdqxLPb84Dd87U/08Z9Us+5/xLHgLmvlUdVZ2151xjpdpqSYiJODcGB6IqEQ5TWogvYu0eylSJAAhVMbCJDxXn379ZSXiQZ/O5pVS1TVsk9alLXuXcpzrvmuQZXedhF/8mfEYbaxMrmyXNgIK/clVSX3UP9VTJOdi47h7Nsc45l7UC6nHdUZmqfBwDgUCgcRHIOZd3SJB/si35XA3kOTddd15yrTbRHc11e6XD6Au6zPfGRShaHgi0jIAxlpzk/AvvqHI6r/+TmZbGS9dbkg2y4ryyjr5XddYeyZy6yWLzMbvKl3MuJF7e6lzzo2vqkXxufj2+Nw4CwzVOU9uvpTotDxNPtLi0gw46KIlPl8SFinHbddddk5mB5nfNOSfE3pQYIo9Ym15G4JvnbY/vFAHL2/S1GDltrJJ2E3gzFmYi2uN+UUdnQiCeNRAIBAKBQCAQCAQaEYFOSeB5w5dYYokkRt+iDiQ551wWavIuiV0zHeZzavanLOIv9EQ8HPIuRp1F3Cxru3x1v+WXXz6J/zftnXNTO3POxYtmSs5WmKzpdrlhVBIIBAKBQCAQCPweAnE9EAgEhikCww3Tuw/Dm5umsoMMAmzRSJXErwmh4aVvrXlCVsR5KjM0yLOpNzMGYk/ds0p2hRCLmnNuralxPhAIBAKBQCAQCAQCgUCggyHQyAS+zT8FEi+mTRhKlXz/LfLupjnn4v2Wl4c85yFPoLXJ/ap2VkfPoE2RAoFAIBAIBAKBQCAQCAQ6BwLDdY7HjKcMBAKBQKAWgfgcCAQCgUAgEAg0LgJB4Bv3t4uWBwKBQCAQCAQCgcDQRiDuFwjUAQJB4OvgR4gmBAKBQCAQCAQCgUAgEAgEAn8UgSDwfxSp+soXrQkEAoFAIBAIBAKBQCAQ6KQIBIHvpD98PHYgEAh0VgTiuQOBQCAQCAQaHYEg8I3+C0b7A4FAIBAIBAKBQCAQGBoIxD3qBoEg8HXzU0RDAoFAIBAIBAKBQCAQCAQCgd9HoFUCn3Mubyb9/SoiRyAwVBGImwUCgUAg0OEQqN7pkXPucM8WDxQIBAKtI5Dz4Ml8iwQ+55x++OGH9Nprr6VXXnklUmAQfSD6QF32ge+++y598sknddm20J31OHbUb5s+/fTT9P3336d33303+nPo2+gDnagPvP3228lYlvOgEfkWCby3fvbr1y8ddNBBae+9944UGEQfiD5Ql33gkUceSZdddlldti10Z4wdg9IHzjjjjPTiiy+mfffdN/pz6NvoA/XYB4ZQm/baa6/09NNPp1FHHbV1N30LV1ok8D/99FOaYIIJ0qabbpq22WabSIFB9IHoA3XZB6aaaqq08MIL12XbQnfG2DEofWCppZZKk0wySYy7oWtDn3WyPrDFFlukKaaYIn377bct0PTWT7VK4Mcaa6y0wAILpEUWWSRSYBB9oD76QPwOzX6HiSeeOE077bSBSzNcQm833rg122yzpXHGGScttthi0Z+jP0cf6ER9YIkllihOcyF0rdP1X19pkcDL9uOPP6aff/7Zx0iBQCAQCNQlAtbqmDGsy8ZFowKBQUCA98246zgIxQYha2QNBAKBekSAzBvLBrVtrRL4Qa0o8gcCgUAgEAgEAoFAIBAIBAKBwJBHYKgS+CH/OHGHQCAQCAQCgUAgEAgEAoFAoGMjMEQIvNCbwZ0S6Nhwx9MFAoHAYCIQxYYAAqZt6WqhGy1VX+lyWxx+/vnnZXvh1vJ99dVXZUvPL7/8MrVWX0tl41wgUK8I6P/69WeffZZ+q1+TI/JBTr7++us0KGF9tg9Uv/I+u2dzPJxTr/q/+OKLFuVQHrKsLm1urQ3yuU/IaHOUG+97uxN4nePJJ59M2267bTr33HNDkTden4gWBwKBQAdGgI7+5ptv0gsvvJCOPvrotNtuu6WnnnrqV2ueEIDHH388HXjggWmTTTYp6ZhjjklvvfXWQAQFsbnpppvSX//617TeeusV3W9rT0SiA8MYj9ZQCAx6Y8nIfffdl2zxt/rqq6fVVlstHX744enNN98cICtk6eOPP05XXXVV2m677dIqq6ySNtxww3TBBRckRPu37opAe9fOsccemzbaaKO03HLLpT//+c/p/vvvH4igI+W2y+3du3eq2mGLb2Xd3z3U9dhjj6V99tmnyKBdTW6++eaB6pFPfnKPm7388stORWpgBNqdwFtF+9///jddf/316cYbb0zvvfdeA8MTTQ8EAoFAoGMhYBD3sqAnnniiEI0777wz8e7VPiXyXu1JTodvvvnmhTzQ66eddlp6//33S3aexzvuuCMdddRRafLJJy8kftZZZ01nnnlmuvrqq8uLiUrG+C8QaCAEEGJG7d13351mnHHGtO6665Y9uo877rh06aWXJt5yj4PvPPjggwkZXmGFFdIaa6yRPvroo8TQRf7laS2Rq1tvvTV5A+8666yT5ptvvsKZjj/++NSvX79iJJBDdaura9euiRzaeQsBP/vsswe044MPPkhVOdt/jzHGGOnII48sL+OsvT8P/kMPPZRGHHHENO6449Zeis8NiEC7E3gd6fbbby8K/t57700PP/xw6YgNiE27NjkqCwQCgUCgHhDIOaeJJpooLb744mm88cYrs6RIRG3beM/79OmTnnvuubTyyiunlVZaKSEZSMq1116bOGmQd2QFmcg5p4033jgts8wyaf31108TTjhhOumkkwqxqa03PgcCjYAA4oykL7300mmDDTZISPEBBxyQRhpppMSzrd97DkQfGV511VXTmmuumbbaaquyh7tZKoateuRrKal/sskmKzNbZMtLv3jh8SZyp6wk3GX++ecv7WBI7LrrruV9Adddd13yBk91v/rqq0m5eeedtxgR2s0Af+aZZ1wuiSf/rrvuSh9++GHZInzssccu5+O/xkWg3Qm8KVfTPTreK6+8kkytmmJqDSKd6fXXX086oKkpHdKRAJiaJSg+O884MGg4z4OkLG+SulnC77zzTrE4Wba+O1+bxIW98cYbyf0MUFXZ2jzxORAIBAKBOkOgXZuTcy5ExAA+8sgjt1g3PSkMplu3bsUDOfzww6cuXbokRIIXDzlBCJAEZH6WWWYpxoDKkPeZZpqpvFlQPiTH+UiBQKMg8H//939pFiC8UAAAEABJREFUoYUWSvbmH2200Yq8TD311Ilnm9GLyHsWMrHgggumP/3pTyXPKKOMUsj1mGOOmRjJ8rSWlGFEk0NGgOOkk06alHWfnHPSDrKkHc6NMMIIxTj2vgAv2yS/eAxug+i7P1l1xMHIKvmTHn300cS5as/xKaecMuWcW2tanG8QBIZrz3bqQKZ7vATKW6XUfc899xRF7nNtEl9G8fPWiOvabLPN0pJLLlmEZtllly1xZ7z3vDtrrbVWOW966oYbbkimsZZffvnUo0ePEo8m1kw+VjAvkLffXXnllQNi0HRkBsB+++1XPEny7Lnnnkmsvo5d2674HAgEAoFAZ0HA4N/8WTk/EHOOEqRl9NFHH5ClIiXiaBF4YQY55/IWQWRDRiQDwaDj6fDQsVCJ1EgI5NxEnrWZjHzyySfplltuScJX8BHk2bWcm/LlnJN8eAZeMc888xSu0XxmS5kqIdqS72TFq/Q5K1dbbbXEIK7KkqvqM66jfq/cNyvgzb0550RGu/Q3sDkv1cW7n3NOTUT+p7LepW/fvglvItM5B3mHe6OndiXwYqt4ti2gYDHqnM8//3wJozEoVGD5LKbLoifTPixC00eEw8IM1i0hmXnmmZOpINaijs2CJESESQfVkXmKrrnmmnTooYeWGLVddtmlvM3uP//5TzJdVAmV66eeemrxIIkjM1Pwj3/8o3j+q3bFMRAIBAKBzo4ARwwiQk/zDOb8y2BPpyMTiIS4efoaXkiGY5XkyzmXNVB0cHU+joFAIyFABnAU/AFH4TWffvrpf+W95unmNOzdu3c655xziueex/z3npVsiHc/44wz0o477pjwJbNciHdtWfnwK7H1HJE872LzyZl8HKbevowjcWZaf4g/zT777AlfeuCBB4qRzbDw3cyY+HuRDMpHakwE2o3AC21h4ZnK4Sk3/WTqyXcdz4BQQcSzI7SGd8ZgMOecc5YFHDog8s4I4LUhACzM8ccfP/HqGCRMMYkz23777Uu8pXw6LCEwlcV7371797KrAm8977tV3ZdffnmZ4rJKnKffNK+V44SzalcchwwCUWsgEAg0DgLIAn3uWKWq9b77TK/6jOBUn51vnqp6mp+P74FAIyDAmBXzftttt5XY8YsuuihZPCqct7b9iDDijigLHbbQ2yJu/KQ2X/PPZMcs1hVXXFGiCXAlu9LYUca1Kr/P2sFZKcSYsWDhOMemPBak4kQ897gOYm93KTxHpAOHJ95DXhkL//znP9MhhxySTjnllBJHT5bVE6mxEGgXAu/HF1eOfC+22GIlhktnYSFS4Dp1tSgDPEg7C9LRd50z55wIi6Q+56vkus9Cc1inXbt2TTvvvHM64YQTSoyYzq7D6qTi71mxvEPuKf7+pZdeSgTMNJPOz0plUDAuTFu5p/ojBQKBQCDQ2RHI+ZewADo65zwAEt994UzxuTrm/Ese16vU3INfnR+EY2QNBIYZAkJVbCNp5xmEF4dA4M3+1/KUaaaZpnjebR+50047lZkn/ERIy281Hm8R1nL++eenPn36FKckzziiLkStKiufxauIvugCUQknnnhisoOUdpBFMwP7779/QuBdw5XwHPxIlIOwH7vqeJYtt9yy7Bh14YUXpksuuaTscV/dK46Ng0C7EXgkXfy7RaemZ4S26FQ6l8+sQJ530PDM84SLWUf6b7/99sSiFB6jk9npgBddp1VeGSnnXLZcqs7lnJNObvoKGWfx6sAsWl59Hdp0kaQM8k6o7H2sbh2ch59VmuIvEAgEAoFAoMx2inU360ln13oR6Vnf6WlOGLto0K3ibh3Bx+Hiu8+IjXHA50iBQCMiwEjFE9Zee+20xx57lMXcNt3gnKyeJ+dc5EZ8uRBiIcA22cB9Krmo8jY/kg/RBraRVL8wF+XIWm1enMXaEoQfmSej1qpUslbl1V6fOS1FGcwxxxxli1c8SWiNeqaddtqyON3Wr6IQRD0o0/FSx36idiHwlLyOxONt5wLbh7HsdKSxxhor6Yi2PKriJXVY3nkLSXnqdXQhNeLLEPDdd989GRiaQ08QDA6153VGRoBrBOCII44o25edddZZ5YUiOryByD0dvWjE1BNrVzsJAy9RbZ3xORAIBAKBzoBAzk2e85zzgLheehLxRlqeffbZZBazwoKezzmXRXYIvCl7R7OcFaEx+0nX200DGaGjq/JxDAQaFQE8gWMQp8Btcs4tPopdauwcIw9ZyrnlfM0L55wTAwAPUjbnlstZrKp+98k5F6dmavZHZoUQc5aKgxdTz9nJMMg5l8gFciv0RuRCJbvNqomvdY5Amwk877X4MB3O1M7BBx+cLA6VLBoVk45ci+1i/elEvrMOxYyxPO0dbLGqfVR5dnjydSrYId4EJ+dcOqqOmPMvHZsVqoPKJ4wn9f8jBIwGLyrJOSedXRy9hVc6sDJTTTVVeVmCe2lP/2LxLxBodwSiwkCgnhGoHCI5/6JTc85JmKI9p/v165e8qMYAz9FilpP+5HjhOJlhhhnSwgsvXDYqQNrpUjqVvrcOytQ93VzPGETbAoHmCHBK2gTD+jmfXXf03Tq86aefPjFMze6LOGDompnS/4WtkBvGq8WlyjJqRSEIb7HdtXzKiDrAheSRhObgSLzmuA65E/KrrPvL44jb2PSDQYEfOV8l9xIqQx7xL5wq56adauTH2fAj8kxWOUsZBVX5ODYOAm0i8EJSkPDevXsnu8ogxzqTTqvTsAJBYZDQKb0IQfgKT71BQSwZL/jWW29dXv9rispLQ2wtabGITiaeXZy6TimeTLgNAVGnut1rk002Kfuwigf7+9//Xt4ASNAIgL1VLW5Vt07qnl6HLO7L2wQJozarK1IgEAgEAh0dAUSDx9zif0SAXkXMLb5DLDw/z52XywgzRDrOO++8JK7WxgOIPQKTc05mWM1qym/xnbwcN8gNvc5Bo75Ig4VAFBpGCCDmBx10UHkpmVn966+/PglHwUU23HDDMgOVc04WkVosuu222yb9vopfxynsssdb7xHUd+SRRyax54xbMqhOMiYS4eKLL0485pycyLvwYnxFeIwFsbaM5BSVRzSDXfSE6iy66KIDZs7cR71i3skphyh+UxnQPO4iDjgz8SuLWXPOacUVVyzrFpWP1FgItInAI9c6tQ6BoFuIYX9gEIip8sY+Xm9WoDT33HMXom/Q0LENAjz38tcmQiFW/dVXX006qoUkPDmIuI7JutVRlTFFhfTb4snbAlmnJ598comN17nl4TGysMTC17nmmqt4lIT68NRPN910skQKBAKBQKBTIMCrZ5Cnu03Xm8Hk+fPWxsoxAgiDP+cMQmHxHH0svNGbKS3mkwc5oNct9PP5zDPPTMgLUsIDL0+kQKDREMBpKqLOOSkkGC/p0aNHWmqppUocvGfiQGTQMmQZwRyDZqbkEyYsj0Re8JHVVlutzG4xcBdffPHy9lYeeYRaJIMw4I022qi8rEk5JN6aQLyFzAoNxrEQfMQbKZevSmQb98KXyHZ1vjraWtJ2lZygeBROVM2mVXni2DgI/DaB/53nmHfeeROPep8+fcp2RMJnTNEoJrZqu+22S8g0pV4l+YXMEBArqX0mAFXiKbeAFfHXEb3kyYublHcf+7G6Xkv8eX8sGmEBSzxBhK/q3DnnsgcqS5nVyev/r3/9Kxl4DDraGykQCAQCgc6AAIItZNFM5Omnn57oVeuCbOOLWNRiwMmxww47JNfNoPLg0be1eRAWY8G+++6b7FNtIR7CUauja/PH50Cg3hEgIzzYuIKZJ95474/hdOQ0rNrPuWimSZ7jjz8+kQHlhKXk/EtYmnw4ie0bOQ1zbgrttbMNziL82DtsyGDtrBUZQvTNAmiL8l5UyejWxqod1dE5hjN59Lk6Xx2dU5/7uifjgJFQXY9jYyHQJgIvRMVCJx5u8ViScyAwEFhk4ZxwGsmepL67xvvDQ+8NrJR+lQ477LCkE6tTR7YQSrmqvPOIec6/CIf7OccoUD/hUTbnX/LknMtrkNWlzfIZeJSNFAgEAu2PQNRYnwjk3BQPSwfSp3Siz82JudbnnMv0Op1JByMAzjdPiAZ9z2tvdtX35nnieyDQSAjgFPq8vk8+eNlxl9pnyDknckOG9H3yxNve3DGYc1O+WtkgI76r2z3wl5bINJ5CtuSRlFG2th3V55xzwsFak1P5XPNc2qpu5yI1JgJtIvBteWTCoCOaOhL/ZRtJyf6nwmDEtXfr1q0tt4iygUAgEAgEAoFAINB4CESLA4FA4HcQGCYEnsVqUYYwFtZq3759k8Ubkv3keeVdb8ka/Z3nicuBQCAQCAQCgUAgEAgEAoFAh0ZgmBB4iJrGEf8uDlPsWJXEZYnfam2KSNmhkuImgUAgEAgEAoFAIBAIBAKBQB0iMMwIPCyQdLHqtnqskph3512PFAgEAoFAIyIQbQ4EAoFAIBAIBIYkAsOUwA/JB4u6A4FAIBAIBAKBQCAQaDAEormBwB9CIAj8H4IpMgUCgUAgEAgEAoFAIBAIBAL1gUAQ+Pr4HeqrFdGaQCAQCAQCgUAgEAgEAoG6RSAIfN3+NNGwQCAQCAQaD4FocSAQCAQCgcCQRyAI/JDHOO4QCAQCgUAgEAgEAoFAIPDbCMTVQUAgCPwggBVZA4FAIBAIBAKBQCAQCAQCgWGNQKsEPueccs7Dun1x/0Bg6CIQd2soBHIOHdVQP1g0tlUEhhtuuDLmOraaKS4EAoFAh0NgcGV+uNaQyDkGxtawifOBQCBQHwhQfDmHrqqPXyNa0RYEqr7s2JZ6omwgEAg0FgLDDz98Ghy5H66lx/Qipeeeey5tttlmae21144UGEQfiD5Ql33grrvuSieffHJdti10Z4wdg9IHDjvssPTkk0+mTTbZJPpz6NvoA52oD6y77rrpwQcfTKOPPnpLlLzVcy0S+J9//jmNOuqoaYYZZkgzzzxzpMAg+kD0gbrsA2ONNVaaZJJJ6rJtoTtj7BiUPjDFFFOUcXfGGWeM/hz6NvpAJ+oDM800UxpjjDHSDz/80CpZb+lCiwT+xx9/TJNNNlnafffd03777RcpMIg+0Bn6QAM+I4K04oorRv9swN8uxpaBx9Z11lkndevWLe2xxx7Rn6M/Rx/oRH1gn332SdNOO236+uuvW+LprZ5rkcDLzQvvGCkQCAQCgXpF4Keffkqhq+r114l2DQoCHGf6s+OglKuXvNGOQCAQGDwEyDzZH9TSv0ngY2AcVDgjfyAQCAxNBEJHDU20415DEoGqL1fHIXmvqDsQCATqB4HBlflWCXz9PNofbUnkCwQCgUAgEAgEAoFAIBAIBDo+Am0i8N98801655130ltvvZXefffd9N5776XPP/98oCnt77//Pr3//vslj3zSF198MVCeeoeZdSQ2qXrGDz74oMQqOV/vbY/2BQKBwB9AILIUBOh0+ppep+8kuq9W15nq/eSTT9Kbb75Z9P63335bysZ/gUBHRJjceyUAABAASURBVEDf18c/+uijhM/83jPKQz5wHZxIeMTvlamukzX8gmzhSc6Tt08//bRwrbfffjtViYyqn8zKp52fffZZ4VrqUM755kl7vvzyyz/0LM3Lxvf6QqBNBN6WV3vvvXfaeuutU48ePdKmm26a/v3vfxfFXj3mG2+8kY444oiSZ5tttkk9e/ZMd955Z9KJqjztfWyt4w7ufawMfuihh9Iuu+xSntEz3H777YO8Ynhw7x/lAoFAIBAYGghcddVVaccddyx6znaG22+/fbrvvvsG6Dq69YUXXkjHHntsybfnnnumm266KX311VdDo3lxj0BgqCKgvzNoyYW+ru+31IDqHNJ9yy23pMMPPzztsMMO6ZBDDklIdXW9taP7vPLKK+n8889PvXr1KmVvvfXWkh0ZP/LII9MWW2zxq+QeDz/8cMn32muvpRNOOCHttNNOZQHsY4891qKjlAFw3XXXpVdffbWUi/8aF4E2EXjbXtm/csopp0x33HFHuv7669N//vOf1KdPn8RiBMu4446bllpqqSSPtN566yXbZA3OpvXq+7304osvJgLEkv29vH/0uk32bVVnmx/PqP6XXnopEbo/WkfkCwQCgUCgnhH45JNP0iWXXJLsrU+PPv/880WP21KYDtR2XsUDDjggITL2OKfTjzrqqHTttdeGRw9AkToUArzcDFR79J966qmJF761BzRbZTeRXXfdtcjHoosumtZYY400yiijtFaknOfM5BDcfPPN0xH9nZ3ew6OcHbYq5+H9999f+IZtc/GQ0UYbrUQ8kFMeeEbC8ccfX7jPggsumLT74IMPLnnKTf73n5mERx55JDEK1PO/03FoUATaROAnmGCCtOSSS6YVVlghde3aNY088sglhObEE09M5557bvHK6CQLLbRQWnnlldOyyy6bVllllULm25vAEwIvnzr00EPLAKTjt9dvoq2TTjppmn322dPYY4+dDGYjjjhie1XfDvVEFYFAIBAIDD4CHB5XXHFFmmOOOdJZZ52VLrroopJ42mebbbbylkDT7n36O2fo2fX6O2I4b3jo//SnP6UzzzwzcWoMfguiZCBQfwiMOeaYxeFo/B9ppJFSzvlXjcQ9nnnmmbLtNrIvEgGR5wnHfZT7VaH/nUCoOQV79+5d+BPj+G9/+1vaaKON0lRTTVVCdfENdR199NGJISHK4aCDDip8ZIkllkjTTTdd6tevX7rxxhvT/PPPX2bGVltttYSoi5L4363KLJpz5HThhRdO4403XnUpjg2KQJsIvGfmhRbztfrqqydphBFGSMJmjjnmmHTbbbel7777rnQcnVxnNcWkXJUQbfFevD21Uzryvvzyy6VjOm8ayzmfdVZHVqR6DD4PPvhgYnFedtllJQZMWR4llikrtSojr/T666+XUB/WqzokU0sGJ/lNR9Ve0073ly9SIBAIBAIdBYGff/45mb5HzoUKCJmh06effvpCDioCQmci9lNPPXXy4hHEgkMDSaG/+/bt21EgiecIBAoCZp84JyeffPKE24gzLxdq/jMrhe/cc889hcRvu+22hfSTj5psv/qIOz366KMlaoGjc//99y8OzoknnrgYzAp06dIlzTXXXGmxxRZL5E4kgOQ8njXNNNMkjlRch4GtrHaOP/74xdgQI+8++Nezzz5bPPSMdEY3x6R7RGpcBNpM4HVonUNYjKmjRRZZpHiodRaEWqeWJ+dfW64GCdO1XhgllmurrbYqViOyjEyLr99www0Tb48YMAMIy7M6R2jUbTrXedO/H3/8cemke+21V7r77rsTYi9Gf/3110/KGaBuvvnmEmNG0MSPab8BjPd+5513LvH6prMuvfTSVEviG/dnjpYHAoFAINAyApwsHCKucmDQq/QxrzoHiPN09VNPPVWm3g3+pvCdN90/0UQTFUeNaX762PlIgUBHQaAiwC09D7kQPiysVugK/sNJ+eGHHxaZaKlMdU44jph3sic6AfnGe4Qf4yTyIePjjDNOqoxo59wTv0Lku3fvXgwL18kiIo8/4S3a7RyZ5CTFexjeDAIGgLraI0Udww6B4drj1jqIzoLE77bbbmVqx3fk3ZSP6aXm1qhOZuoIYebx9hY6nd5CjccffzxNOOGEyVSUKSAeIZaqQWPVVVdNOq9zBhv1jDXWWMXi1el1WNNDFpzMM888xVOk0z7wwAPJACO8x+IQ00jXXHNNqYv3iBGB/DvOPffcxZDQtvAqtUcPiToCgUCgXhFAEky9n3766YlO5EhBJLwp9eKLLy6hkGYtOUrodTG9td475XPOiYOlXp8x2hUIDAkEyIWwGYu4EfADDzwwLb/88kl4mdkq3Ki1++JF1o7gLwg27rPMMsuknj17JnyHrLVUloGAW/G+myWTxwyBzzbbwJnuvffeEu47yyyzJJ5553EjITfkF1eSlI3UuAi0C4H3+FVHZYGK19KZnLc444wzzkj9+vUr00I557Iy2vQPrzoyzvpca621Sjy9QcIgIlyFpWhqKedcpoNYmTokIq9uHZJhID7N+Wog0ZnnnHPOZBrJIlptEbOujeK+xJdtttlmad55502sWOTeTACjQF3i+k0Nm34SM2ZrTPeLVI8IRJsCgUCgLQgg42P1d4J07dq1TNdzXNiMQPyveFs6mu6kkx2rVHtP5zhTas/F50CgoyOATCPiOMkMM8yQNt544/SXv/wl4SYiEKwn4Q1vjgN54TjkfTeDtcACCyTOT5ECdo8RUfDEE0+k5n/K8dyLGMBryKg8HJ7uO/roo5d6ODc5I7t165YQevdZaaWVSnTEeeedV9ppEbr24TfqVU+kxkKg3Qh89dimZixUFbaCLLP+TBNdcMEFZTslhJvlxwPO827wcE6HM3VkEGA98sazbpt3rNpzrlXlfZa0w5Swenx2rhp4WLS868i9LdKs2ual105xYYi/dhEO01TKO1Z1+R4pEAgEAoGOikDOOSHzNiYQRmNKHkHJOZepes+dc5NDxefaxIFS+70hPkcjA4E2IGDnGbxFfLpdZyShupXsnHLKKWXf9ua3wCt43XEfjkRRAxyHylmAysPOs48r1ZbFRRjUiLt75pzLZfWYRWMEWAQr/Bhh1z6RBzgP56SQYaRd6I21K6eddlrZQaolI6NUHP/VNQLtTuA9rQGgR48eZQslXnMLUHUiHm2WqU7os86JXF944YXJqm3x6jqZhSPItrr+aELUfy9vznnAlk4WfujEPO2Ex9SXTm8nhuOOO67Eeuaci+c/5/x7Vcf1QCAQCAQ6DAJ0MBLPuUFH09t0Zs65bBdZq2/pc/qa7s45dGWH6QTxIL+LgJ33kGdHvEcBs/2zzjpr4iwUimZLx1p5kYc84UY55yTKQHnnefJ548kaD31zYk0WcSnXRQ8oUyUGNK/80ksvXWbSODJvuOGGNNlkkyURCsra/926FmE+wpGVYSgwQqp64vjHERjWOYcIgfdQiLEtkViTvOQ6D0Wf8y8KHoHX2YXQmKpFnoWyCK2xx7xBoXnHV5f6m6ecf6m3+bXa7+qs/Z5zLi+VsnuN2E9CJZyHgDS/d225+BwIBAKBQEdFIOdcFs7Rg3QxgiFEwIBvOt5MqGen0+3CgZDYt9q5SIFAR0Mg5yZ+kXPTsXo+IbqIu7AWfKY6LxJBCC95kXIeuBweI2YeH+ElJ0fK5pwT4xmRx40YB85XyYyYtSa2jkT8q/PNj+TTJh7IuigDbRTuIyQYr8FznCPbDAz8rHkd8b3+ERiurU3MOQ+Ibc954E6qA/NqC6mh4HXW1P9PxzT9o/Pr9MJlxG6xFOUTA0YgdHKdv3+REruVcy77zFf1uO6aZGGG7zqnpEPqvK7VCkHtZ9fkExNmqsvWkSxTLydhvbouv3oln53LOQ9oT4q/QGCYIRA3DgTajgBdZ00SIkEf0590slBGzhVkIedcNgowLW+dEl0pHx1rWt6e1a61vTVRQyBQfwhUctG8Zci2hafkRdgLbiKRJ2m++eZLSDKC7rt4dGHFZAexFnJj0w5rBJ1zH1tgMwCExCDatfe0Ts+sGE87TlJ7rfosPMciWPJrFs3MmGvaysjOOZcdcnjdhfGoDyeTJ1JjIdAmAk95s+iscKbE77zzzrK3ei0ElP+OO+6YbLGUcy5vE9Pxpp122hJiwwq0vRESbXcYO9Mg82K8dDjlEGeE3mLTq6++Otktxj14fsRn6vQ8/haD+CxGTF06sUFJXLvzBETcfTX4qMN5AkMAGQusW59zbjJGCJb7CAPy2ZQW61acvHPqVE+kQCAQCAQaEQGDuB1ndtlll2SbXXr29ttvT3TnaqutlngKPRddbZEe3WyLXTrWTht0qneAcHzIF6lBEIhm/i4Cxnjy8PTTT5eXKiHF+AKjV2EzU0JRzE6JLSc/5MIRf7FVNUclzuJFTDb4ECqMd9iOtUePHoVMn3322WX7a1wIjxLWKyY+5yYe4l7uactK20oyCnL+5ZrrknrxH8bE4osvnvAs/Mk17eGg5N237eWVV15ZHKLuQ6blidRYCLSJwFP855xzTtLhdPIjjjgiIfO1EPCos0JtjSTmXAdz3fQPYq+D87yLzbLzgY7OuuRRl8eiDh1M59XJdUYLTtVl9TRB4UUXb6Y+sV5e8KQT22aJdYvI20pSXBrvPiu2It4sT/Uvt9xySX712Y1hgw02SBZ+IP+eiQCrk0FioLInsu9VPZ4pUiAQCAQCjYaAgR0hQExOOOGExJnCi7jmmmsmu1jQ4Z4p51y2CKbL6V76mi61c4YdLZp7C5WJFAg0MgLi0K3Rs00kDiFevG/fvmVrVc+Vc9PMlMWjZMXGGGQIT7GYFFfxGc9AkpFn8saJyWGIUCP1YuXJ07nnnlvi172HRviae1SJ5x4vwo84OavztUeefg5KeSyOde/qunviSXbhQ/CReAa5mTOGSJUvjo2DQJsIPMJr8SevuK0fWaCmXJs/vg674oorlv1RfXY951y2ebR4lcWqPIJe7V4jj85nGkl8OsFhwXpZlIUZYuVZqwi+zkcwtttuu+T8jTfeWLZS4pFfaqmlkvY5L/EcsZh1ZvcwOJkCs1MOQ8QzrLzyyslz8UJdfvnlSUy8/VMrY8V5W2Oykqt61BUpEAgEAoFGQ0Coo/dm0Jt2C/NGSDrSrlx0cO3zmNrn8LBmib720ifv8DANn/OvPYK1ZeNzINBoCAhzsSYP18AfzDgxWDkXq2dBzmebbbbUu3fvRH5OPfXU8kZWDkD8Qj7kHXdxHamveIN6hLkce+yxCb+wgYb333ASVnmUl8yA9erVK+EnObcsa9piESuHZMW1lK0S4q/92shY2HLLLct+8Tm3XF9VLo71iUCbCLzOiTjrhJIO1poXJuc8IFY+1fypQ0dTXidvXj7nnBB0HU8e11mhyjjnmHNT5zPY+O68MjnnpEMr57zkszpqmlDaJX/1LNqknPzqkt9316vkvHO19cTnQCAQGFoIxH3aC4Gcm/S2smjNAAAQAElEQVQk3UYH0228g63Vn3OTTqbv6Uh6t7W8cT4QaGQEyAF5kPR1/AFXaE6uc85l0Tf5kXCGnJt4SfX8+ALu0rys786TJ/dxz6pM7THnnBjQ+Ent+drPOefCeX5LJl0j6+7lc235+NxYCAzXWM2N1gYCgUAgEAgEAoFAINAGBKJoINABEAgC3wF+xHiEQCAQCAQCgUAgEAgEAoHOg0AQ+GHzW8ddA4FAIBAIBAKBQCAQCAQCgcFCIAj8YMEWhQKBQCAQGFYIxH0DgUAgEAgEOjsCQeA7ew+I5w8EAoFAIBAIBAKBzoFAPGWHQSAIfIf5KeNBAoFAIBAIBAKBQCAQCAQ6AwJB4DvDr1xfzxitCQQCgUAgEAgEAoFAIBBoAwJB4NsAXhQNBAKBQCAQGJoIxL0CgUAgEAgEIBAEHgqRAoFAIBAIBAKBQCAQCAQ6LgId7MmCwHewHzQeJxAIBAKBQCAQCAQCgUCgYyMQBL5j/77xdPWFQLQmEAgEAoFAIBAIBAKBNiPQKoEfbrjh0g8//JC+//77SIFB9IHoA3XZB+ipn3/+uS7bFrozxo5B6QPDDz98yjmX1HK5wDNwiT7QEftAzk1yP6iMvkUCT5G8/fbb6fTTT0/HH398pMAg+kD0gbrsA88//3y6/fbb67JtoTtj7BiUPnDNNdekN954I5100knRn0PfRh/oRH3guOOOS6+88krq0qXLIHH4Fgl8zjl9++236fXXX0+vvvrqgBSfA4voA9EH6qkPfPnll+mjjz4KHRV6uuH7wAcffJC++eabGHejLzd8X66nMaJR2vL1118nM8qDwuBbJPBCZ6aaaqq03377pUMOOSRSYBB9IPpAW/vAECk/11xzpTXXXHOI1B26L3T/0OwDW265ZZp22mmjL4eujT7QyfrAYYcdlmaeeebEIdVmAq8CJF4ozQgjjJAiBQbRB6IP1GMfEA8pBr4e2xZtCpkZlD7A+/7jjz+m7777LsbcX/GO6EuD0pcib2P1F3yb7Oec0e8/nFr0wP/h0pExEAgEAoFAIBAIBAKBQCAQCASGKgJB4P8g3JEtEAgEAoFAIBAIBAKBQCAQqAcEgsDXw68QbQgEAoGOjEA8WyAQCAQCgUAg0K4ItInAv/baa2Wro7333jv16tUr9e7dO+27777J97///e/leOSRR6bnnnuuxPXVtly8zxNPPJEOP/zwdMEFF6RPPvmk9nJ8DgQCgUAgEBhKCFhLQB/T1/T3EUcckR5++OFf6W3rDWwxfP7556d99tknWXzVUr6h1Oy4TSAwzBCwUx9ug78ceOCBhcv8kUWIP/30U+E799xzT9kyFGe6/vrry7ssrIO4+uqrB/Aosrj33nsXWZOPrJHBTz/9NF177bWpV3/e9e9//zs9/fTTSb3NwbCzifu89NJLLV5vnj++NxYCbSLwOeey2ObFF19MFL7OdNppp6X3338/jTTSSGV/ZkRex7v00kvTxx9/PAAdHfWcc85Je+21VxkE7IE54GJ8CAQCgUAgEBgqCFg0+eCDD6ZjjjkmXXfddUVv/+c//0l/+9vfEmJRS0refffd4rS54YYbEicMYnDsscemu+++u7z4b6g0OG4SCAxDBBDoDz/8MJ133nnFSXnZZZeld955p3ChnH97ESKSjfRzXB566KHpvvvuKzuP2DDEI5Gniy66KN14443pv//9b7l+7733piuuuCKdeeaZZXtJ3AnJx7VwKte9b0Ab1FElCyOfeuqp9NBDD6WvvvqqOh3HDoRAmwj8pJNOmjbeeOO0/vrrp3HHHbfA8qc//SltscUWRfnzziy00EIJeUfur7zyysQilNF+l6OMMkoaccQRC9mvOrBrkeoLgWhNIBAIdFwE7KOPgE833XSJw4VHjw6///770z//+c9kptXT8zhefvnl6aabbkrLLbdc2nPPPdPOO+9ciHyfPn3SW2+9JVukQKBDI0BeTjnllMTInWiiiZLtP8nN1ltvnUYeeeTffHYvniNTXj635JJLpr/85S/F27744osXOTK7teiii6Z//etfA9JBBx1U5G2xxRZLM844Y3GQIvATTjhhKYt/PfLII+mxxx4b6N7k9pZbbkmzzDJLwstwroEyxJeGR6BNBF6H+L//+7/EIs05p5xz2YjeeR74eeaZp3TQqaeeOum4//jHP9Kjjz6a/Onof/7zn9Mll1ySjjrqqLL/rfORAoFAIBAIBIYOArx03v7ZrVu3tNVWWyUOl7nnnrt8XnbZZUv443vvvVcaw8PH64c40O2jjz56Um6RRRZJDzzwQLrrrrtKvmb/xddAoMMgwIgVMoPAL7PMMoljcokllkgTTzxxcUTmnFt9VgYuDsQw3m677RLCP+uss6Yxxxwz4VF400wzzVTea0EOZ5ttttS9e/c0zTTTpM8//7wcyZtwYzNh3tUzzjjjpCmmmKLwLnLMw68BDAFhbq7NOeecibPU+UgdC4Hh2vtxkPmqzpxz0nl0SueR+L59+5ZQmrPPPjsdcMABZbr2zjvvTN5Cpxzrlgdop512KvFhppRYljqwOr744oviAdp1113Ttttum3bcccd04oknlpgy19VhUBL39de//rXkkW+HHXZI6pTflK/rwn6233774kUyPUUAjjvuuLTLLrskFq6pZVNPprN22223UpdpZgNaJSju+eabb6YTTjghqatnz55l+ks5bYkUCAQCgUC9IpBzTmZSkZDRRhutOGFyzmnsscdO888/fxprrLGKg0a4jDjb119/PfHUIx2eCfGYbLLJyhtEg8BDJFJHRoAMCP1FjHEJpBsnwRV+67nl4ay85ppr0oorrpgWXnjhEo0gPI1sKSsagSFAtnLORRbxC7zEdWTf/u4550LYlXUdF5GqehD8O+64I4066qhp+eWXTwzt1LB/0fDfQqDdCXzzm7H8WIk553JJvLy4rTHGGCNdfPHFyfQQAs461QnFlfHydOnSJX322WeJxWq6ieXre58+fQpZdl0644wz0sEHH1w8+YRIJxY7tv/++ydGgu8GGTFkiPuzzz6bJplkkmL1Ej5E3Xl5kXMLQ9SpbeLcrrrqqmJoiCUjYCeffHKJAa01OI4++ujSJm1URnwb0m9hWHno+C8QCAQCgTpEQOgi0oCw59ykozUT4bAuad555y0EX9yt2N2cc9GdysmXc070sM/9+vUrZN/nSIFAR0MAP0HAX3311SSqADewcQdHZPO1Is2fnWyIlUeqcR8cwyJwYTiiElrjCs5zYE4wwQQlFCbnXMKVeeJxmRdeeCFZfI7LMKy1EVfBT1ZZZZVC3i145RjFj1L8dSgEhjiB17F4cViOkOO95p0W5zX55JM7lQwG8umsrFvXF1hggbTWWmuV0BrhODnnZFqId1681xxzzFGmoLp27Zp4hW6++ebiBdJRTXH17du3xH2xknnGTUe5x3jjjZdmn332EkvG6yQ2TKdn5YpnM7XF0mV4PPPMM8W7//LLL5dYfwJHAJF7ljjCjqhrs0Fsjz32KF54AqQNLOHygPFfwyIQDQ8EOhsCvHp0Kr2HBPA2mtXkQKEr4SGPY22q1jfVnovPgUBHQQA/ES2g7+MuEiJvvBfXjtyTk5aelzEs3/jjj5+UQ7bxIqQep0HCK9mqLe+eeAjeInTNNZ/XXnvtEnaDc6hjhRVWKLxGNICdasS9u49wHU5QC9K1T33qiNQxEBjiBD7nJg8NLzjIkHOdqKXOimCbPhJraecaYSnbbLNNWn311YslmXMuZF8dBhOkmTWrLucIFs+RxRs87+pyHRk3jZRzLmRf/FjOuXiLlHFfnX3VVVdNSy+9dFm45b4EjmAp7zrhU5/yCDyCzvL2nXC5zruvTpYxoU3xFwgEAoFAAyHACcIBQhdKHCh0WvUItZ+rc3FsEYE42YEQQI4ZtsZ4zj+hMHhCz549E5kRkstB2fyReb6Vw1GsL7EAHKexCHzdddct20Ei4RyCzcsyos1+iYMXAeC642KLLVY2Ctlggw3KOkPx9PiOHWzwEE5K9xThwAPPgy9SQISB+tQTqfERGOIEnrIXv151zimnnDIJqWkJOiSfRSluXqiNDmeXA573imSffvrpZbsz9YmDN62rrpxz2edU5xW7qTMLyxFDj9ATPgtndWzCoIy2OZoBMI1sloBwzDXXXMXzzysvzgxBN1W2zjrrlOkqAxpBZSwg6QwSVq/V6Lz9PFEscfdXf6RAIBAIBBoBATqNl5F30O4WQmu0m270Oefs60CJA8UJM5g5//q6a5ECgUZHAAeRrBXBM/AVcsHbbVG3MBmEu+IV1fPiF5LvZMSOfeoxm2+huMWoHH5kT57aJJadfPH0K1Ndw1OsLeSJt5iWkxE5lwf/0TbRAcJv1lxzzbTZZpuVomeddVYS5lu+xH91jsDvN2+IE3jWHyLMI85jvuCCCyaduHknr5qKYItf33DDDYvX/dxzzy3bKSHgiHOXLl3SbbfdVl4yYhqKZ70qq07CxSoVOuO7HW68nIQVzFJGsJsbEPIh3ASlqst3RoJ2ExbbNxEUU2VHHHFEWnnllcsUFms251wWjAgLEvYjpt6LHYTiVPXFMRAIBAKBekaAznvyyScTIkGXISlVe+ndGWaYoWz7SxfTja7Rj977kXNOM888s1ORAoEOiQB5EL7CIcmbXj0kXsIByEFYyyGq68i7svJxRnL4VdcQbx59eXIe2Pglh+RRWQvNcx74elUHbiNSQFSArSnlVdYe8/LgOyIHpp9++tSaoSBfpMZDoF0IfG3nYwFKoNCZK7LNUkV6Tf3oyDnnsspavpybPhtAvEiEl36//fYru8EopxObouLttm+q+HKdfrXVViskuqrDfZFxZXR6ITEbbbRRMk2lPtuksWTll5q323fnJXXo8AwE1qzBa5NNNkmMA9a2Z0PsWcHysqY9G0u3ihvliVdXpECgERGINnceBBBya4t4EK0Xol+Rc2TDtZybCDrvnllPM5DQoeOQBwSGg8O5SIFAR0QAQRdSxmknLh1f8ZzIMiPWzD5vunNCfDkukWvfp5122kSucBmLYPEU55WTh4MQmXeuSha3yiciwb2r87VH193HrJkF55ya+ApOIqw355zIsHtwpuIzrtXWEZ8bF4F2IfAUPUKrM1WfQSKOkvdbLJa9gm3FWHXwKq98VVkCceGFF6Y+ffqUFyIsvvjiZW9VHRtBfvzxx8ubyXRAHiGx8o7qUF/OubwN0FSS8Bs7z9ivVeI199Ip3v0qtMV9JWVr260+RsYaa6xR9jm2olvojkGL5W1ai5CYCjM9xVhg/drFRn3qJ3ymnNUVKRAIBAKBekUAITHdbkcMeoyeFZNrH2k7glm0TweKo910003L7mDexKqc7XjpQ54/JKRenzHaNdQR6HA35CDkDLRxhlhzYb6I8e23356QciG0DF/k3S4z4uPJBl6DwHMACl+x054jmVKPcN+VVlppwG5OFXB9+/Yt/MeGLPAd3gAAEABJREFUHdW55kcGNNk1MyD0t+JDiPpSSy1V6iTTjG7JzFrwkuYoNu73NhF4VihSbhtHypzFp1PbR5233RExtq0iQq0j5pwTS9DAgOgqo8NbsIqQiyfj8RH7rjySvPvuu5eXFXTr1q3sTQxuRN82SptvvnnZFpIXyACkQ9umUl2sXW8NrBJBE96CjD/44IPJlpBi5MV7ehGJcBvx8urPOScDljei2bO1X79+yeBFCJF0nnweeF53cfvaxmDw3MJsWOOeTV2RAoFAIBCoRwSQC947jpZbb701IRcWvvXq1StxdtDbPIw8gAgMR4x3atiqV7igLYAtyjPzyNFSj88YbQoE2gsB5N14z2lHDsSgM2L1f3uuk5Gcc4kzR5wR/JxzCT0TEbDXXnuVdXQiA+x4R6680NIMv7JVO22QwbMuHMa9qvPNjwwE5Tg7a+VPNAGPvFBivIRMezmUKAThNM3rie+NicBwbWm2jmX7IgQbAT/11FPLHuk6jQ669957JwNAjx49kg6qU7kfK5ElyGOtDFItNEWsFivWimoLqNSjXoKhjHAVAw3i3bt37yRUhVedx56RYHqL51zHXWihhRJvf21Cst2fd1xbeM+9uIkxgagj38i8PFXS6W3zxIvPovZcLFsWrjxi7sXrH3/88WXLSQR/vfXWK3u2uoc8kQKBQCAQqEcEDP68gxwxJ510UqLrrN/hlDnkkEOSRC/Sc9pvJhRp4Vzh0LCmaIsttkiITc5ZlkiBQIdFwMz7fPPNl7wkEoHHB/R/4bxkw4M74gF4ibwVD8AtbIRhS0c8Rx6E2rpAzkBlq4TveAGl/GS0Ot/8KMyX957nv/k1HMU9evbsWV5W2bP/kZxW7WmeP743HgJtIvCmbZBZRJiSt60SUk3Bm2pyXsxkpfwreJBs2ynpeMooa1smU0ne6se7zTBQj/PyK6uTmyZSTmIUaAPizrpFtsV73XvvvSUEh0fdHu1VYihUC61MIzEitFcblOddam6dElgzB9pImGz/JN5Te6pU1aUOz63NzZ+5yhvHQCAQqH8EOksLkQNrjuyGQRciIkIHq0TPIgc55wGQICiICf0sdIYjZ8DF+BAIdHAEcAJGLxkhAzhJc+83xyF+wSlZCwdizsFo9gqnkI8M1ubxWb7u3buXEF7fW0tdu3YtEQitkXJGA++8e8nbWj1xvjERaBOBr8dHttiVh13cPTJuAUiVCAVhIUB2wqnH9kebAoFAIBAIBAKBQKBhEYiGBwJDBYEOR+DFrZvasqBKaI/4zCrZA9XUl5AeZH6oIBw3CQQCgUAgEAgEAoFAIBAIBNoRgQ5H4BFz2zxaLGIRlljNKonXFE8v7KYdMay/qqJFgUAgEAgEAoFAIBAIBAIdFoEOR+D9UmLUxNGLjRdLXyWxauLo5YkUCAQCgUAg8GsE4kwgEAgEAoFA/SPQIQl8/cMeLQwEAoFAIBAIBAKBQKBDIRAPMxQRCAI/FMGOWwUCgUAgEAgEAoFAIBAIBAJtRSAIfFsRjPL1hUC0JhAIBAKBQCAQCAQCgQ6OQBD4Dv4Dx+MFAoFAIBAI/DEEIlcgEAgEAo2CQBD4Rvmlop2BQCAQCAQCgUAgEAgEAvWIwFBvUxD4oQ553DAQCAQCgUAgEAgEAoFAIBAYfASCwA8+dlEyEKgvBKI1gUAgEAgEAoFAINApEAgC3yl+5njIQCAQCAQCgUCgdQTiSiAQCDQWAq0SeC9Dyjk31tNEawOBQKBTITDCCCOk4YcfvlM9czxsx0SgS5cupS+PNNJIHfMB46kCgUCgRQTIPs7d4sXfONkigR9uuOHSxx9/nO655550xx13DKUU9wmsow9EHxi0PvDWW2+lZ599NnRU6OmG7wOPPPJI+uijj1Lfvn0b/llCjw2aHgu8OjdeN998c3rvvfcSh9Rv8PVfXWqVwL/77rvp9NNPT8cff3ykwCD6QPSBuuwDL730UrrzzjvT8fH71OXvE+PHHx8/DeJvvvlmjLshyyHLnawPnHLKKenVV19Ngzr71iKB//HHH1PXrl3T3nvvnQ466KBIgUH0gegDddkH5phjjrT66qvXZdtCd8bYMSh9YNNNN03TTDNNOuCAA6I/D2V9Oyi/U+QNuW7vPnDwwQenGWecMX311Ve/8rL/1okWCfzPP/9cXPlTTjllmmqqqSIFBtEHog/UZR/gsRh77LHrsm2hO2PsGJQ+MOaYY5Zxd6KJJor+HPo2+kAn6gOTTDJJ8b7/9NNPaVD+WiTwKkDiJZ8jDWkEov5AIBAYHARCRw0OalGmHhGo+nJ1rMc2RpsCgUCg/REYXJlvlcC3fxOjxkAgEAgEAoF2RyAqDAQCgUAgEOh0CASB73Q/eTxwIBAIBAKBQCAQCAQCKQUGjYtAuxH4Rx99NB133HHp3//+dzrqqKPSc889V1Cxzdunn35aPjfaf+KRLrroonTyySenM844I914442DvMig9pnff//9dOGFFxZ8rDq2y4+6jzzyyILbsccemy6++OL09ttv1xYrn02xvPzyy+mCCy5I9957b/r666/L+fgvEAgEAoH2QuDbb79NTz31VLrrrrvS559/3mK1X3zxRbrlllsSvUUvvvrqqy3mi5OBQEdEwHZ/xumjjz66jNf6P67wR5716aefTqeeemo68cQT02233daijBnbyd8xxxyT8IQHH3zwV+P9d999l+6///6EM5x99tktcgbt+f7779MTTzyRXn/99fRH26hcpMZAoM0EXgexh+nf//73sv2VveN1vrPOOqso+PPOOy8hrrVwfPPNN+m1115LBoLa8/X42fPsvvvuqUePHumQQw4p+/QObjutMCZMSPhf/vKXtPnmm6eePXsWJeA+RxxxRLmPFc4wlb+6F4G1JduGG26YYI3MV9ca+xitDwQCgWGNgMEdMbn11lvTfvvtl/75z3+mDz/88FfN+uyzzxLdjoAg8XTZf/7zn0IS1PGrAnEiEOhACHCuXX755emSSy4pcrDbbruVHYOef/75xMnW2qMyjB9++OF0zjnnlLLG+h122KFwJjJVlfvyyy/Ltrjk6tJLL03/+Mc/0q677ppsMYoDyKcusnfYYYelq666Kp1wwgll20nvEHC9StrzyiuvFMejdvteXYtjx0CgzQQekdSRPvjgg+Sog7IwZ5ppptI5eeZHHHHEAWjpfFdffXXxJNd23AEZ6uiDF1rttNNOybPknNPgvCmr9nEmn3zyQr732WefNMUUU6Scc5p++unT/vvvXwSbRT/LLLMUjz+Cf8011yTGTlUHg8dG/zBkOFXn4xgIBAKBQFsR4DDg/XvhhReKc6X5G27pHLOQPH5LLLFE0e+9e/dOb7zxRvEqNnfUtLU9f6h8ZAoEhhICDNTHH3+87BSEVCPO66yzTpmNuvLKK5NxubWmkA3OO9ve4kkiFcYdd9xCvHnSf/jhh1KUp1zUwiqrrFK89L169UoiGMx0uSYTriUyYJRRRil5ttxyy+LN1zbXJWT9nXfeSTfddFOabrrpSmouz/JFamwEhmtr800J/fe//03dunVLM888c+rSpUsaffTR02qrrZa22GKLNPHEEyeKv7oPUvqvf/0rvfjii0kHrM7X6xFhRuRzzqk6psH8U54xY+u7yhggVNW5JZdcMvH2276TsBNyVrvbybPNNtskAyblYXsy5yMFAoFAINBWBOimySabLC2wwAJFZ+ecf1UlEsI5M8YYY6RFF100ISCzzjprWmSRRcqbQ40DvyoUJwKBDoTApJNOmlZcccXUvXv3knAcfMcL5Wp5TvNHNn7PM888pewMM8yQll566bTSSiuV0Bcv72IcKDPaaKMVeSJf3gmAyM8777wlYuHjjz8uXn6edhEMiDlHICegsrztiLvP8vDO4xruS2adjzQwAo3+rc0EXqeVEE7TSrw4QBl55JHT2muvndZbb71kf1tWo3iuv/3tb+mxxx4r8Vv77rtvMh1F8Yv3OvTQQ5PpWN91ap9NNT3zzDOJheo+BhAhJBKrtNZDzdvPYjX9a4r3zjvvLJ5+pLeqR9uqpLOznF3fc88904EHHlimjoWweJmGWNAqryOy7X7aYON9hoiwmpNOOqmECT3yyCPJ/dUDi9Ysci/Kcm91OlbfGQsG0LnmmqvEqz3wwAPp+uuvLxY4i9u0GWWhTFW3o6k2Xv0zzzwzEfJ+/foVD5r6KQbPob177bVXCQPSNp4216ukjJhW9cDW1B0cPYvnE4fH8+Y7wwJuZgSuvfbaEr9/++23Fw+E+/m94K0eIVTNY2n1keuuu64YI2Yf7rvvvvL7Vm2JYyAQCAx9BDgVDPg5/5q8k2thAnQ3wjD++OOXBiImiMYnn3yS6AC6qVyI/wKBDoYAIxf51vdxAd/1f2PynHPOWfbxbu2RlUG4OThzzsWLb9w3K8/xSfaUtR94165dk3p9d9695HHNObIo5ZwLoccbcs5lfZ7zxte77767cBLGhnvn/GuZVlekxkagzQRepzQtZNEq0ou0Wcz65JNPpnHGGSfNPvvs5Wg6x+JLlqGOq5Mh9cgdIijmG6FX3tSUcBIE3ttgkUXTtEjoHnvskZBJZB35QzJ583Vc5Fp4jjxCUBgEPNjI71//+tcyXcWL5CcT38mg2GWXXdK5556bWK8IrLLubbASc5bzLx0/5yaBefbZZxPyzlveu/8UMoLs/si0Z1SvhS2DM5hRBhNMMEEJr1GnZxOb6vkZFttvv30JuWGBew6kXhsYDwZXBPuKK64oBF77xc4dfvjhZWGadopv9YzyuK6NvAcMEeRdfQ899FAh5YwtRoFQJ9gKl0LMxf35bSyggZlyPjMe/Da+W6ALe4YAPFzTXoYDUu+3vuGGG5KYW79r3759OyGJh0ikQKB+EKAPWmoN+ac/cs6JfkIa5Ms5p1FHHdXHRGeWD/FfINBBEUCmPRr+YnzjKOQtX3755QeQbtebp5xzmcHHfXAQTjTysvPOOxeOxBhI/f8cJWMzJyZuQiY322yzNNFEExVeMNZYYxUZFOrGcMY1ODd543PORQ7xhtVXX72UcY38unf/W8S/DoRAuxB4pHLuuedOiCaChzwjiXZY6dffG6wD6nwWYAr94OURQ2m3mo033jgttNBCad111006Jk87Mo3Iqtc5JJ+nHhF1ngeYx55xIJ4M4WcYzDfffGVhKCGThO+Y4tKRWbRWfSO57oGoIo6ERJ7TTjstrbnmmsUyZhWLK5ttttmKJ7z6vZUT9kPoPEuXLl1KyJBnN0VlOtnCVMR30003Ldeqsn/0SHgZPtqrDCOHslh//fWT+l3XBs/nekWOPYNFMUg/4ZcPJowcJHmNNdZI8BPPj7DbDUe9Fs0wcJBqU+gMAOR84YUXLjH/MNhggw3Kb+RoOi/nnN59993ye8PWFJ37USSIPDLud9W2CSecsKykZ3DBD8H3u/tNtYeRxWMPf+31TJECgUCgvhBAAjg9kAA6hk5v3jvbNZ4AAA8hSURBVEKOmObn4vsQRCCqHiYIGKeMVxx4Zqc5pxBpsvF7DcJtOOI4Jjn7lEHoa+XJObNZnFy9evVKwpTdg/NL/Tzqq666atnBxnhtR5z5558/GYfVZebeTMHUU09ddgMUqcCpKrLBGKyOSB0DgTYTeCR2hRVWSLzviLtOo5PwruqAyLUV0OIleWoof9DpsJLPVcq5yduNSCL0G220UVJH9+7dk/qQTYaAusYee+yyuBQRtOuNBR619YklQzaR8eq8AQgh1j5CoV2IpxAfpNh9TVnxbiOj2ppzU5uqNqpLG7TN7INBi3GhLoJtpmGZZZZJ2leVGZRjzrmsDagIvGdmPasj56a25Nx0dE6iPOxQY6Ziu+22K3F2sPacFsBoo/apk3GgDK+653MNgTZ7wFjybPCAMWzgQOl4buVybrq3+tdaa63EkGHQMFh4BOymw0BjKJjycz9kn+HktxI6oz5KSF8R759zTmZsGBbuESkQCAQCgUAgEKhXBIx/HGq4iRBWPMc4/HvtNaYa+xZccMES/mLmG3+oyHlVHg/BXXj38RH5ePxdF57M489ZyEEmz7bbblvWpBhfzY4Jw8V1OMmMycZms+U+c/CpJ1LjI9AWAl+eXliFpBPx9uowPXv2TMgbQitumqWZc1P4iULIoIRA+i75Lul8YioRYAtGNus/ddS1a9dkZTZCimQSAnmVkwgOTzrLtTqfcy7TTa47J/ksEY4ZZ5yxePydR5AdkVyfxxtvvITMN7+PspLzyluB7jPB4nWGA0+8KWbn5R2cRJgrIUOkEWpYaWNVX/V56623LguIedkZOyxtRJ1BgjwTfL8JPIW2MFyUzTmXkBUzGmJaYQJHCQZ+O/ekbOCfcy6zEcp6NtN1rikvzm6ppZZKfgOzMIwGMyRmBXgSEHdhR4wGR0YDEs/g+/Of/5zM0ijHkFB/9YxxDAQCgfpAwIwf0kL2pZzzgIZVMkvf5PzL+QEZ4kMg0IEQ0M85rnjSja/IshBg4//vPaax1CYUZv/N1Oecyy42xtuqLFkzAy6KQYiw2WxjpDV9ZsJyzoW7WAiLayHy3bp1S8g5nsQbj4cYe+1Cs9pqqyWOPeOzmQPe/OpecWxsBNpM4HUS8dTIM2/8yiuvnMRZiy0XLqOzIGvIdy1UObeu6OU1KOTctNjDgFGVdb76XB1zziW+LNX8ySfVnBrwEVlFOIXfIK+2vtxxxx3LnqrCcCxoFZ7jvq3Vgbh6VoYKr7uwE3FtBI+FPOBmg/iBJ5wh4UiQtYMl3lo7GE5i4Jdbbrli0fMECEsRM68dwnuEyhBudSL3OTdhD2eDstmOrbbaqiyCMZNieo9H3Ap43nWGVPPH8Hsj+M7D02cEneFRtZUSsXOOaT4hPDzz+oPrFBFjzLNZ9+Ce1lKoL1JnQCCesR4RyLlJNzRvG90+7bTTFh3Ds0d+5SH3DHYy7bpzkQKBjoxAzrnEuxtfjVkIts/k4veeG6cwDnJ+MQJ40jm0zLSToaq8MZXMGR/lE8rKyVXJnXz4gbrUyXhA8BdffPGEd3GaCRM2xnNGmlm3EFYoK3lVPlLjIzBcWx8BIdNR7EKjs6gPMUPYhJjoiIic88ii7z5LOTd5gX3WCR0ln3P+ZSDhgRZqocMijvLknMtg4jPvsk7qurLO5ZwLqc/5l2POTZ9T/z91KoMAI/MECtlkVWu76/2zlTocpZzzQN9Z00i8+zJSzB6whGufMbXwp405Nz1fzjkpn3PT8wg1EScuj5XtwnHglnMeMKOQ8y+f5eUB4AnQfkIvpIgl7rdBjBFkxNriU89JUeTcdN/U/8854UaMANa7383+98i8LeL6Zyn/tCnnXD7nnEu70//+XOOVZ9jw/vPK8x4wLqwncM1zwozSMUthjYP1DAwmMX36ibb9r8o4BAKBwDBAIOcmGSfT1e3pNO+oEDZgpkw4omtm68zqmbW0rsm5SIHAEEdgGNyAsWp2nCOsGqccOcVwHuOoZjnHaUZGKsLt6FzFX+Tz2dhult0x51x2cnMP95JHXZLrwmXcy/kqucaBKAKAbCLpeEjOecAaPPdRHw6gfM5N8l3VEcfGRaDNBB4Z8yICRMxOKDqLDk6pI7WIoa0RDQCsVJ1LZxKqIea5CqnQEZUFpaM8PkusRwRPJzYNpMNarMGaJDgGDmRc3qqs8j5XqarfeckqbYspq+2WWM/q5UVH4u2qoz55lZV8Vp/zkvaIhWdcIKjIfO2gJ09tqq2jqsexSnZ5EAIDOzHkptqQeHXU3lt+3523+NRKdTMB2oIEI/F+FwPt+eefL1sJaULotcEJ5SV1wcDWmDCBKyzEzGmLVfZwqS2jjqqsz675fZdddtlkRoMn3sJYsXuUkW0iTREi9n5Hi4vF1lvkyvugfmFW2qKuSIFAIDD0ESDTvHO8geSWHFfyrTVm4jbZZJNElnn75OFwoD9sRMCRIF+kQKAjIqDf26HOolBr7jgsjZl4z2KLLVY8354bUbcbnpBi8mFcs7DUjmx2hatkTNgrHsTZhcSTNTHsNgLhmEO4jdlmz/EbPMc46x5VYkAL38k5J3H1HGiu4QHeK4ML4FnGc7veiDDAmeSJ1PgItJnA6zA6IAXuFdv2fhcbzoMrfINnGBkFFQuSR1kZsVkWVRgkkGVC4bMOedlllyW7pBgglEOUET+hOQimeC7x1WLPxVEL/9ApeZ6FkBiIWL9IJO+uuljAyooBQygRSISZoLi31eTIqiQcRhiKPOrzhjPCpZxdVt5++23NKt54q709v1AXcfE5t27dIrQ80mLVxbSpE8m2PzvcLAT1DBakMC686IEAmg7r06dPYrB4NmVs08iYIagEVMgSD7u81g2YRnONx5sSQPLtwgNHeFZbRVIglBAF07dv3/JmNxhUiRKCj5Aa2FEmFJIjZWbqDhg558SQEbfn9zbA+4169OhRXtplwar7Uio878g8bIXvwESfUP63DCD3iRQIBALtjwC9S3/TPfQqnWd9Cjkm7+7I+WLDArt1WXhnZyx6ktFO1qtZS3kjBQIdDQHkmaPJjDZD1q5vF1xwQXnLqe8iATwzrlHxCqGszhmDrQc0Sy7kxsw4/mEjCOM856Z8wmeN/eLa8QGz2Jxc6heuI09tQt5tErFYfwOiur/rZFV0gfHV+O1+ogOsmavNJ2+kxkWgzQReJ+GxFkOOyCLtrDwDgdhnHmShEyBC0nQgnt1evXolZNK0LM+OhRYIPYKsLmEcVTllTdEi60ijrQt1ejHsFnFUxM/iEgOJHVksorTtodgx9bmnc4gya9d5HmMEuXlCrL1ACUHmVfJ86nQkRISDlU1QfWa8GNQ8n7a2lgipwU5ebVen/eThYAsoAyLrGwmGq/zqojisdrfwRRmWvHtqt/AUWLO+LWphfCDNyLt7+e7Z4eQ6Ywc5Fx7jWdQhbEZ9du7xvUruT3lQEowrv61y2sAIUQ4R10Yp51zeMOeefie/kb5QhSjJAyPKyW8BA2sG3FvdpvfkiRQIdGwE6u/p6FrxtnQEpwtiLj6Xrsz5F6eEwZ8OocfJPwJCL5u6D+O7/n7XaFH7IcBJiAjjAcY2Y7Lxy8w7D3nOTXJiHBW3zikoAoFsiUIwJpIVYzuHnzVmxkb5tTLnnPAg4ycnHE5gjMYP5Mc15KtNZt61hcMu56b7V9fxIfdD/jlV8Qpyik9UeeLY2Ai0mcAjzzoPGBBiHm/J4kdhJc7XpokmmihR+jz0CCtCpw6kjmcdGXXUsZsTOoLAouRptgert7wSqqp+nl/3repAZBF65LU6Z/DhDeZdZ+3q3MJ/qmTwIhBCUBB5ZJsBoLyj76bPDHA82gguMt+9e/fffBObNor7JthCY3ih1cmK9zwwc179jBX5q4RIUxLyKqMsHAyunoVwI/Iw8czIu7IEnseb1a8MxQF/bfAsDBzCzIvOe0Y5VTg4MhgoEF5/A7e1AX43bXBUXjiMe1XJPd3Hb+i5vEDLLEXOvygX7dYHPA+los3Nn7mqL46BQCAw5BEgt6bozeSRS4ns0qnNiTmdi3zYRUPYHvIy5FsYdwgEhj0CHJKMV2O1MY7M4DC1LTOmchAizdX4aPw0huMnZAzvMGNfW85n+fEaeeRVBx6V8y/jZ5Lxf4kDFAdwz/+dGuggLt84TZ7J8kAX40vDI9BmAt+ICIhdE7cpBq1r165JBzetJREYQkRQkd3mz6esUBrx26acTYOxoBHgnFsWsuZ11NN3ITdCZ4TR8ILDoEo84xQPwacIcm6856snrKMtgUAgEAgEAoFAIBAItAcCnZLAs1bFcgrFER9miop1LCGvpp6EiLB8m4NsFkDIjzAT22eKs7d9GgLfPG8jfBeXzrNuFoTVD4MqmY3wmfXOa/6/54lDIBAIBAKBQCAQCAQCgcAwRKBTEngkXIy9RbFi8U1Z8bxLPpveEhJjWrn5b6OsrRXFkUvKiB1lFDTP2wjfhedYAMNgES/neapkelyy+CXn8L43wu8ZbQwE6huBaF0gEAgEAoFAeyDQKQl8BZzYTWRV/LjYeMnK7yqmv8rX/CgGVIy+GH5knje+eZ5G+s4osbjF7AMMqmRRMg99Iz1LtDUQCAQCgUAgEAgEOiAC8UgDIdCpCfxASMSXQCAQCAQCgUAgEAgEAoFAoAEQCALfAD9SNLFuEIiGBAKBQCAQCAQCgUAgMMwRCAI/zH+CaEAgEAgEAoFAx0cgnjAQCAQCgfZDIAh8+2EZNQUCgUAgEAgEAoFAIBAIBALti0ALtQWBbwGUOBUIBAKBQCAQCAQCgUAgEAjUKwJB4Ov1l4l2BQL1hUC0JhAIBAKBQCAQCATqBIEg8HXyQ0QzAoFAIBAIBAKBjolAPFUgEAi0NwKtEvjhhhsu5Rwv72lvwKO+QCAQaD8EvMMg59BT7Ydo1DSsEPDiQONuo74UcFjhFvcNBBodATJP9gf1OYZrqUDOOX399dfpmWeeSU8++WSHSPEc8TtGH+h4feDTTz9Nb731Vuio0NMN3wdef/319OWXX8a4G3254ftyjLWDNtY+9dRT6fPPP08cUi1x8tbOtUjgeQJUuMYaayRvHI20VOCwVGAQclB/feC2225LRx555JCWz6g/5H+I94FevXqlRx99NK266qpD/F6hy+pPl8Vv0nl/k+WWWy7dd999afTRR2+Nq7d4/v8BAAD//7DjeWgAAAAGSURBVAMAp60jk2DRMX4AAAAASUVORK5CYII=\"\u003e\u003c/strong\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA large majority of respondents, about 73.33%, believe that digital platforms assist them in making smarter financial choices.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDifficulty in Using Digital Finance Platforms\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eResponse\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercentage (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e33.33%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e66.67%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation:\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e33.33% have faced difficulties, while 66.67% have not.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eTypes of Difficulties Faced\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDifficulty\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercentage (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTechnical glitches\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e30.00%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLack of understanding\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e25.00%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSecurity concerns\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e40.00%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePoor customer support\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e5.00%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation:\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003eSecurity concerns are the biggest difficulty (40%).\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eSelf-Rated Financial Literacy Level\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLiteracy Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercentage (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVery High\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e16.67%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHigh\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e33.33%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eModerate\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e33.33%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLow\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e13.33%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVery Low\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e3.33%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation:\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e50% of respondents rate their financial literacy as high or very high.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg 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\" alt=\"image\"\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eUsing correlation and regression analysis in SPSS:\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003ePearson correlation coefficient between digital tool usage and financial decisions = 0.65 (Significant at 0.01 level)\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eRegression R\u0026sup2; value =\u0026nbsp;\u003c/strong\u003e0.42, indicating a moderately strong relationship\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eConclusion:\u0026nbsp;\u003c/strong\u003eReject H0. There is a significant impact of digital tool usage on financial decisions.\u003c/li\u003e\n\u003c/ul\u003e"},{"header":"FINDINGS","content":"\u003cp\u003e\u003cstrong\u003eSection A: Demographic Profile\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e1. Age Group:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eMajority of respondents (42%) fall in the 21\u0026ndash;30 age group, indicating a digitally active population.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eVery few respondents (6%) are above 50, showing lower participation from older age groups.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e2. Gender:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eMale respondents constituted 55%, females were 44%, and others 1%, indicating a nearly balanced gender distribution\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e3. Educational Qualification:\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;A significant number of respondents, about 39%, are graduates, while 25% hold postgraduate degrees. Interestingly, only 3% of the participants had education levels below the 10th standard, which suggests that the majority of our respondents are quite well-educated.\u003c/p\u003e\n\u003ch3\u003eSection B: Core Questions\u003c/h3\u003e\n\u003cp\u003e4. Use of Digital Financial Tools (Dichotomous):\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e95% respondents use digital financial tools (UPI, e-wallets, etc.), showing a high penetration of digital finance.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eOnly 5% do not use such tools, indicating minimal digital exclusion.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e5. Most Commonly Used Tools (Multiple Choice):\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eUPI Apps (Google Pay, PhonePe, Paytm) are the most used (76%).\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eMobile banking apps are used by 54%, and investment apps by 38%.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eOnly 10% used \u0026ldquo;Others\u0026rdquo; like WhatsApp Pay or BharatPe.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e6. Confidence in Using Digital Platforms (Likert Scale):\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eAround 68% are confident or very confident using digital finance platforms.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eOnly 9% are not confident, suggesting a good level of digital financial literacy.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e7. Do Digital Platforms Help in Better Money Decisions? (Likert Scale):\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e72% either strongly agree or agree that digital platforms help make better money decisions.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eOnly 6% disagreed, showing a positive perception toward digital finance.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e8.\u0026nbsp;Faced Difficulty in Using Digital Platforms (Dichotomous):\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e36% respondents admitted facing some kind of difficulty.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eThe majority (64%) did not face issues, suggesting that platforms are generally user-friendly.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e9. Types of Difficulties Faced (Multiple Choice):\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eAmong those who faced issues, technical glitches (48%) and lack of understanding (37%) were the top problems.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eSecurity concerns (29%) and poor customer support (25%) also emerged as significant issues.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e10. Self-Rated Financial Literacy Level (Likert Scale):\u0026nbsp;\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eOnly 18% rated themselves \u0026ldquo;Very High\u0026rdquo; or \u0026ldquo;High\u0026rdquo;, while 42% rated themselves \u0026ldquo;Moderate\u0026rdquo;.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e40% rated themselves \u0026ldquo;Low\u0026rdquo; or \u0026ldquo;Very Low\u0026rdquo;, suggesting room for improvement in financial literacy.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e11. There\u0026rsquo;s a clear link between using digital financial tools and making smart money choices.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe study called \"Financial Literacy for the Digital Age: Make Better Money Decisions\" reveals that people in Mumbai, particularly those aged 21 to 30, are really embracing digital financial tools. It turns out that most of the participants are graduates or postgraduates, suggesting that those with higher education are more likely to dive into digital finance platforms. A significant number of users regularly utilize UPI-based apps like Google Pay and PhonePe, along with mobile banking and investment apps, which shows a clear trend towards convenience and digital investing. A significant number of respondents feel confident in using these tools, and many believe that digital platforms help them make better financial decisions. However, despite the high usage rate, about one-third of users have faced challenges, such as technical glitches and security concerns. This suggests a gap between access and ease of use. Self-assessment of financial literacy reveals that most people consider their knowledge to be moderate or low, signaling a clear need for educational intervention. The findings underline the importance of not only making digital tools accessible but also ensuring they are user-friendly and secure. Additionally, the perception of digital finance as beneficial for decision-making is encouraging for future financial inclusion. Overall, the study reveals a digitally active but literacy-challenged population. There is a growing interest in digital finance, but the pace of awareness and knowledge development must catch up. Targeted efforts in digital education, user safety, and customer support could further enhance the experience and confidence of users. With the right initiatives, financial literacy in the digital age can become a key enabler for better money management in urban India.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSuggestions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e1. Conduct Regular Digital Financial Literacy Workshops\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eOrganize awareness programs in colleges, workplaces, and communities to improve users' understanding of financial platforms.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2. Improve App User Interfaces and Accessibility\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFintech companies should simplify app design to assist users of all age groups and literacy levels.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3. Strengthen Customer Support Systems\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eQuick, multilingual customer support should be provided to resolve user queries and technical glitches efficiently.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e4. Ensure Better Cybersecurity and User Education\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eUsers must be educated on security features, fraud prevention, and safe transaction practices through in-app tutorials or alerts.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e5. Include Digital Finance in Educational Curriculum\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIntroduce digital financial education as part of school and college syllabi to build financial capability from an early age.\u003c/p\u003e"},{"header":"Declarations","content":" \u003cp\u003eEthics Approval Statement: This study was reviewed and approved by the N L Dalmia Institutes of Management Studies \u0026amp; Research, Research Review Committee.\u003c/p\u003e\n \u003cp\u003eParticipant Consent Statement: Informed consent was obtained from all individual participants included in the study. Participants were informed of the study's purpose and their right to withdraw at any time.\u003c/p\u003e\n\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eAuthor Dr. Vimalkumar Mistry has wrote entire paper \u0026amp; done all work related to it.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAgarwal R, Goel S, Mehrotra A (2021) Digital banking literacy in urban India. Indian J Finance 15(2):33\u0026ndash;42\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAgarwal S, Botadra D, Jain A, Shah L, Shah D (2023) Factors preventing undergraduate students in Mumbai, Maharashtra from investing. 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Cahiers Magellanes-NS, 06(2). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.6084/m9.figshare.2632573\u003c/span\u003e\u003cspan address=\"10.6084/m9.figshare.2632573\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (Available at: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://magellanes.com/\u003c/span\u003e\u003cspan address=\"http://magellanes.com/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e)\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Financial Literacy, Digital Financial Tools, Money Decision-Making, Urban Consumers \u0026 Digital Awareness","lastPublishedDoi":"10.21203/rs.3.rs-7535443/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7535443/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn today's changing financial services environment, the digital era brought with it a tide of new platforms and tools to make managing money easier. But having access to these digital tools does not necessarily equate to good financial decisions. This research, \"Financial Literacy for the Digital Age: Making Better Money Decisions \u0026ndash; A Study in Mumbai City,\" investigates the relationship between digital financial tool usage and financial literacy of urban consumers. In spite of Mumbai being a highly technologized metro city, the study identifies a worrying gap: though 95% of the participants rely on online financial platforms such as Google Pay, PhonePe, and mobile banking apps, a considerable percentage of them evaluate their financial literacy at a moderate or low level. A total of 300 participants were interviewed with the help of a structured questionnaire and data compared using non-parametric statistical tests as data failed to demonstrate normal distribution. The results show that while 73% are of the opinion that digital channels contribute to improved decision-making, most struggle with challenges like technical issues, security, and ignorance. Pearson correlation tests also revealed no significant correlation between financial literacy and improved decision-making but moderate moderate positive correlation between use of digital tools and good money decisions. This implies that even though adoption is high, literacy levels might not be keeping up. The research emphasizes the importance of holistic educational programs that blend digital literacy with financial literacy to promote informed decision-making. By fulfilling these gaps, particularly in urban areas such as Mumbai, digital finance can be a more inclusive, secure, and empowering tool for efficient personal financial management.\u003c/p\u003e","manuscriptTitle":"Financial Literacy for The Digital Age: Make Better Money Decisions","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-09 04:21:03","doi":"10.21203/rs.3.rs-7535443/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"eb080d7b-5e51-4ae0-8058-2961177a265f","owner":[],"postedDate":"September 9th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-09-13T17:53:16+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-09 04:21:03","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7535443","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7535443","identity":"rs-7535443","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}