Description
This book offers a well-rounded introduction to statistics with a focus on R programming, carefully designed for clarity and ease of understanding. Including clear diagrams and practical examples, it serves as a valuable resource for students and researchers in statistics and related fields. With topics ranging from measures of central tendency and hypothesis testing to ANOVA, regression, and forecasting, the text incorporates relevant information and R coding techniques for each concept. This edition reflects the encouragement and feedback from faculty and students across disciplines, resulting in an approachable and insightful guide for those seeking a strong foundation in statistical analysis.
