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Montana State Introductory Statistics with R
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Table of contents
Welcome
Authors
Preface
Preliminaries: Getting started in RStudio
Introduction to data
1
Hello data
2
Study design
3
Applications: Data
Exploratory data analysis
4
Exploring categorical data
5
Exploring quantitative data
6
Correlation and regression
7
Multivariable models
8
Applications: Explore
Foundations of inference
9
Hypothesis testing with randomization
10
Confidence intervals with bootstrapping
11
Inference with mathematical models
12
Errors, power, and practical importance
13
Applications: Foundations
Inference for categorical data
14
Inference for a single proportion
15
Inference for comparing two proportions
16
Applications: Infer categorical
Inference for quantitative data
17
Inference for a single mean
18
Inference for comparing paired means
19
Inference for comparing two independent means
20
Applications: Infer quantitative
Inference for regression
21
Inference for correlation and slope
22
Applications: Infer regression
Probability
23
Probability with tables
References
View book source
13
Applications: Foundations
Future chapter addition
12
Errors, power, and practical importance
14
Inference for a single proportion
On this page
13
Applications: Foundations
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