I Preface
Introduction
Why This Book?
What Does It Cover
Who Are You?
Who Are We?
Cheat Sheet
Statistical Foundations
Testing Basics
Math Notation
II Two Sample Inference
Introduction
Background
Notation
Diagnostics
Choosing a Test
Power
1
Two Sample t-Test
How It Works
Code
2
Permutation Test
How It Works
Code
Variants
3
Wilcoxon Rank-Sum
3.1
How It Works
3.2
Code
4
Mann-Whitney
4.1
How It Works
4.2
Code
4.3
Note
III Matched Pairs
Introduction
Background
Cheatsheet
5
Paired t-Test
5.1
How It Works
5.2
Code
5.2.1
R
5.2.2
Python
6
Paired Permutation Test
6.1
How It Works
6.2
Code
7
Wilcoxon Signed-Rank Test
7.1
Usage
7.2
Procedure
8
Sign Test
8.1
Usage
8.2
Procedure
8.2.1
Hypothesis
8.2.2
Test statistic
8.2.3
p value
8.3
Code
IV Correlation
Summary Sheet
Background
When To Use What
9
Parametric OLS
9.1
Usage
9.1.1
Assumption
9.2
How It Works
9.3
Code
9.4
Note
10
Permutation Test for Slope
10.1
Usage
10.1.1
Assumptions
10.2
How it Works
10.2.1
p-value
11
Spearman’s Rank Correlation
11.1
Usage
Assumptions
11.1.1
How it Works
11.1.2
p-value
12
Kendall’s Tau
12.1
How it Works
12.2
Limitations
Published with Bookdown on GitHub
Nonparametric Handbook
Nonparametric Handbook
A Data Analyst’s Guide to Statistical Testing
Ishaan Dey
January 2021
Introduction
Why This Book?
What Does It Cover
Who Are You?
Who Are We?