Tour and table of contents
Chapter 00: Example Mini-chapter
Chapter 01: Intro to Stats
Chapter 02: Intro to R
Chapter 03: Data in R
Chapter 04: Data Summaries
Chapter 05: Introduction to ggplot
Chapter 06: Associations
Chapter 07: Linear Models
Chapter 08: Data Collection and Organization
Chapter 09: Reproducible Code
Chapter 10: Better Figures
Chapter 11: Better Figures in R
Chapter 12: Peer Review
Chapter 13: Probability
Chapter 14: Sampling
Chapter 15: Uncertainty
Chapter 16: Hypothesis Testing
Chapter 17: Shuffling to Generate a Null
Chapter 18: Shuffling Associations
Chapter 19: Probability and NHST Review
Chapter 20: Review
Chapter 21: Normal Distribution
Chapter 22: Sampling a Normal Distribution
Chapter 23: Two Samples from Normal Distributions
Chapter 24: More than Two Samples from Normal Distributions
Chapter 25: Linear Model Review
Chapter 26: Predicting One Continuous Variable from Another
Chapter 27: Predicting One Continuous Variable from Two Others
Chapter 28: Two-Way ANOVA
Chapter 29: Have a Go!
Chapter 30: Causal Inference
Chapter 31: Project prep
Chapter 32: Likelihood
Chapter 33: Model evaluation
Chapter 34: Break.
Chapter 35: Analyzing proportions
Chapter 36: Study design
Chapter 37: Bias and Bad Science
Chapter 38: Generalized linear models
Chapter 39: Random and mixed effect models
(To be determined)