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Statistics with R
Statistics with R
Knygos.lt klubas Knygos.lt nariams
199,63 €
-30%
Įprastai
285,19 €
  • Išsiųsime per 12–18 d.d.
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 sta…

Statistics with R (el. knyga) (skaityta knyga) | Henderite L Ohee | knygos.lt

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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.

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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.

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