# Book: Learning Statistics with R - A tutorial for Psychology Students and other Beginners (Navarro)

- Page ID
- 3936

* Learning Statistics with R* covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses how to get started in R as well as giving an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book.

- Front Matter
- 1: Why Do We Learn Statistics?
- 2: A Brief Introduction to Research Design
- 3: Getting Started with R
- 4: Additional R Concepts
- 5: Descriptive Statistics
- 6: Drawing Graphs
- 7: Pragmatic Matters
- 8: Basic Programming
- 9: Introduction to Probability
- 10: Estimating Unknown Quantities from a Sample
- 11: Hypothesis Testing
- 12: Categorical Data Analysis
- 13: Comparing Two Means
- 14: Comparing Several Means (One-way ANOVA)
- 15: Linear Regression
- 16: Factorial ANOVA
- 17: Bayesian Statistics
- 18: Epilogue
- Back Matter

*Thumbnail: https://pixabay.com/illustrations/brain-mind-psychology-idea-drawing-2062057/*