Çetinkaya-Rundel M., Hardin J. Introduction to Modern Statistics

Internet publication, 2024. — 510 p.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.