Description
This comprehensive guide introduces students and researchers to fundamental statistical concepts through R programming. Designed for postgraduate and research-level readers, the book presents a structured approach to essential statistical methods, making it valuable for those pursuing projects and advanced statistical applications. Covering topics such as measures of central tendency, hypothesis testing, small sample tests, ANOVA, correlation, regression, and forecasting, this text emphasizes practical applications with R coding examples. Authored with a commitment to clarity and systematic learning, this book aims to equip readers with both foundational knowledge and skills for integrating the latest advancements in R into their statistical analyses.
