Intermediate Statistics for Dummies

Data Analysis and Model-Building Basics

Beyond Number Crunching: The Art and Science of Data Analysis

Sorting through Statistical Techniques

Building Confidence and Testing Models

 

Making Predictions by Using Regression

Getting in Line with Simple Linear Regression

When Two Variables Are Better than One: Multiple Regression

One Step Forward and Two Steps Back: Regression Model Selection

When Data Throws You a Curve: Using Nonlinear Regression

Yes, No, Maybe So: Making Predictions By Using Logistic Regression

Comparing Many Means with ANOVA

Going One-Way with Analysis of Variance

Pairing Things Down with Multiple Comparisons

Getting a Little Interaction with Two-Way ANOVA

Rock My World: Relating Regression to ANOVA

 

Building Strong Connections with Chi-Square Tests

Forming Associations with Two-Way Tables

Being Independent Enough for the Chi-Square Test

Using Chi-Square Tests for Goodness-of-Fit (Your Data, Not Your Jeans)

 

Rebels without a Distribution

Going Nonparametric

The Sign Test and Signed Rank Test

Pulling Rank with the Rank Sum Test

Do the Kruskal-Wallis and Rank the Sums with Wilcox

Pointing Out Correlations with Spearman’s Rank