Project-based R companion to introductory statistics

https://www.routledge.com/Project-Based-R-Companion-to-Introductory-Statistics/Myers/p/book/9780367262082

Project-Based R Companion to Introductory Statistics is envisioned as a companion to a traditional statistics or biostatistics textbook, with each chapter covering traditional topics such as descriptive statistics, regression, and hypothesis testing. However, unlike a traditional textbook, each chapter will present its material using a complete step-by-step analysis of a real publicly available dataset, with an emphasis on the practical skills of testing assumptions, data exploration, and forming conclusions. The chapters in the main body of the book include a worked example showing the R code used at each step followed by a multi-part project for students to complete. These projects, which could serve as alternatives to traditional discrete homework problems, will illustrate how to "put the pieces together" and conduct a complete start-to-finish data analysis using the R statistical software package. At the end of the book, there are several projects that require the use of multiple statistical techniques that could be used as a take-home final exam or final project for a class. Table of Contents 1. Getting Started with R and RStudio 2. Describing Categorical Data 3. Describing Quantitative Data 4. The Normal Distribution 5. Two-Way Tables 6. Linear Regression and Correlation 7. Random Sampling 8. Inference About a Population Mean 9. Inference About a Population Proportion 10. Comparing Two Population Means 11. Comparing Two Population Proportions 12. Student Project 1 13. Student Project 2 14. Student Project 3