Making Inferences
12
Why Statistical Significance is Useless
Applied Statistics and R Foundations for 431
Preface
Getting Started
1
Introduction
2
Graphical Summaries
3
Numerical Summaries
4
Data Wrangling
Comparing Quantities
5
Comparing Paired Samples
6
Comparing Two Groups
7
Transformation
8
Comparing Multiple Groups
9
Storing Blood
10
Association and Regression
11
Studying Craters
Making Inferences
12
Why Statistical Significance is Useless
13
Proportions and Rates
14
Cross-Tabulations
15
Sample Size and Power
Linear Regression
16
Covariate Adjustment
17
Missing Data and World Nations
18
Two Factor ANOVA
19
Multiple Regression with Two Predictors
20
Multiple Regression and Model Selection
21
Multiple Regression and Transformations
22
Multiple Regression and Imputation
Appendices
A
R Packages
B
The Love-431.R script
C
Getting Data Into R
D
Data Sets Used in this Book
E
Statistical Summaries
F
References
Making Inferences
12
Why Statistical Significance is Useless
12
Why Statistical Significance is Useless
This chapter is under major revision. An updated version will be posted by the time we need it.
11
Studying Craters
13
Proportions and Rates