{ "item_title" : "Statistical Data Analysis Using R", "item_author" : [" Deepa Tyagi", "Shalini Chandra", "Shrawan Kumar "], "item_description" : "This book introduces statistical data analysis using R programming, covering tools like descriptive statistics, regression, ANOVA, and non-parametric tests. It covers essential statistical tools, including descriptive statistics, probability distributions, and hypothesis testing, with practical examples and solved exercises. It introduces both built-in library packages and manual coding solutions, offering flexibility and clarity for learners. Featuring numerous tables, diagrams, and hands-on programming exercises, this book ensures ease of understanding and practical mastery of R for statistical analysis. Comprehensive coverage of statistical tools, including descriptive statistics, regression, ANOVA, and non-parametric tests. Includes dual programming approach, in-built library packages and manual coding solutions. Focus on graphics and data visualisation for effective interpretation of results. Practical R code examples and solved exercises for hands-on learning. This book is for undergraduate and postgraduate students, researchers, and professionals in fields such as statistics, computer science, business analytics, public health, psychology, economics, and environmental science. ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/04/130/771/1041307713_b.jpg", "price_data" : { "retail_price" : "120.99", "online_price" : "120.99", "our_price" : "120.99", "club_price" : "120.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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