Chapters
Bayesian analysis
An introduction to statistics and modern tools
Getting started
Welcome
Before the first class
Chapters
Introduction
Acquiring data
Summarizing data
Estimation
Probability
Hypothesis testing starting with binomial tests
Tests for continuous data from one sample
Compare proportions among groups
Compare means among groups
More ANOVAs
Relationships among numerical variables
Combining numerical and categorical predictors
Extending the linear model
Multivariate methods
Bayesian analysis
Extensions
Maps
swirl lessons
swirl lessons
Practice problems
How to practice
Getting used to R
Estimates and ggplot2
Hypothesis testing starting with binomial tests
Tests for continuous data from one sample
Compare proportions among groups
Compare means among groups
More ANOVAs
Relationships among numerical variables
Combining numerical and categorical predictors
Linear model extensions
Multivariate methods
Solutions
Getting used to R
Estimates and ggplot2
Hypothesis testing starting with binomial tests
Tests for continuous data from one sample
Compare proportions among groups
Compare means among groups
More ANOVAs
Relationships among numerical variables
Combining numerical and categorical predictors
Linear model extensions
Multivariate methods
Software primer
Tools overview
Download an R primer file!
Appendix (Odds and ends)
Github classroom stuff
End matter
Acknowledgements
Additional resources
Download a full reference list!
Chapters
Bayesian analysis
Bayesian analysis
All about that Bayes
Under construction!
Multivariate methods
Maps