Description
This book provides a comprehensive introduction to statistics with R programming, meticulously designed to make complex statistical concepts accessible to students. Featuring neat and straightforward diagrams, each chapter is tailored to enhance understanding, covering key topics such as central tendency, hypothesis testing, ANOVA, regression, and trend analysis. Practical examples using R coding are included to deepen students' grasp of statistical applications. This edition is a product of collaboration, with insights from faculty and students across disciplines, and stands as a clear, supportive resource for mastering statistical methods and coding in R.
