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{ "item_title" : "Statistics with R", "item_author" : [" Henderite L. Ohee", "Ndakalimwe N. Gabriel "], "item_description" : "This book provides a thorough exploration of intermediate statistical concepts, ensuring a well-rounded understanding of topics such as One-Way ANOVA, Two-Way ANOVA, Chi-Square Tests, and Multiple Linear Regression. Complex statistical principles are explained in a clear and accessible manner. The book assumes a foundational understanding of basic statistics. This book is designed for individuals with a foundational understanding of basic statistics who are eager to progress to intermediate statistical concepts. The focus on practical application and R integration makes it a valuable resource for those engaged in statistical analysis in various professional settings. The book provides a practical and applied approach to learning intermediate statistical techniques with the R programming language. This book is ideal for students studying statistics, data science, or related fields, researchers and professionals looking to enhance their data analysis.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/78/715/265/1787152650_b.jpg", "price_data" : { "retail_price" : "157.99", "online_price" : "157.99", "our_price" : "157.99", "club_price" : "157.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Statistics with R|Henderite L. Ohee

Statistics with R

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Overview

This book provides a thorough exploration of intermediate statistical concepts, ensuring a well-rounded understanding of topics such as One-Way ANOVA, Two-Way ANOVA, Chi-Square Tests, and Multiple Linear Regression. Complex statistical principles are explained in a clear and accessible manner. The book assumes a foundational understanding of basic statistics. This book is designed for individuals with a foundational understanding of basic statistics who are eager to progress to intermediate statistical concepts. The focus on practical application and R integration makes it a valuable resource for those engaged in statistical analysis in various professional settings. The book provides a practical and applied approach to learning intermediate statistical techniques with the R programming language. This book is ideal for students studying statistics, data science, or related fields, researchers and professionals looking to enhance their data analysis.

This item is Non-Returnable

Details

  • ISBN-13: 9781787152656
  • ISBN-10: 1787152650
  • Publisher: Kruger Brentt Publisher Uk. Ltd.
  • Publish Date: January 2024
  • Dimensions: 10 x 7 x 1.19 inches
  • Shipping Weight: 2.54 pounds
  • Page Count: 544

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