DIY Introductory Statistics with R: Solving Statistics Problems with the R package "diystat"

While this book focuses on introductory undergraduate courses in probability and statistics, it is not designed to be read, but to be created. Its goal is to provide you with the tools in the R package "diystat" so that you can painstakingly create your own visual resources for learning and problem solving, rather than wading through a dense and boring statistics textbook. After completing this book on your own, you will have a solid and intuitive understanding of data analysis and statistics.The book is organized into 15 chapters:Chapter 1. Statistics and RChapter 2. Descriptive StatisticsChapter 3. Introduction to ProbabilityChapter 4. Random Variables and ProbabilityChapter 5. Random Variables and ExpectationChapter 6. Discrete Probability DistributionsChapter 7. Continuous Probability DistributionsChapter 8. Normal and Related DistributionsChapter 9. Distributions of Sample StatisticsChapter 10. Statistical Inference for a Single SampleChapter 11. Statistical Inference for Two SamplesChapter 12. Chi square Tests for Categorical DataChapter 13. Analysis of VarianceChapter 14. Regression AnalysisChapter 15. Nonparametric Methods Read more