This book provides introductory and intermediate examples of how to use and interpret statistical analyses to accomplish a graduation project or any study. The book contains real-life comprehensive examples that will suffice students and researchers to complete their projects. This book addresses common mistakes and myths when applying and interpreting statistical analyses.
In this book you will learn:
*How to interpret results
*The best decisions on data transformation prior to modeling
*The best linear model
*Univariate versus multivariate models
Statistics by Example: Hands on approach using R and Excel (English Edition)
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