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Preface
Introduction to data
Hello data
Study design
Applications: Data
Exploratory data analysis
Exploring categorical data
Exploring numerical data
Applications: Explore
Regression modeling
Linear regression with a single predictor
Linear regression with multiple predictors
Logistic regression
Applications: Model
Foundations of inference
Hypothesis testing with randomization
Confidence intervals with bootstrapping
Inference with mathematical models
Decision Errors
Applications: Foundations
Statistical inference
Inference for a single proportion
Inference for comparing two proportions
Inference for two-way tables
Inference for a single mean
Inference for comparing two independent means
Inference for comparing paired means
Inference for comparing many means
Applications: Infer
Inferential modeling
Inference for linear regression with a single predictor
Inference for linear regression with multiple predictors
Inference for logistic regression
Applications: Model and infer
Appendices
Exercise solutions
References