3.1 Patterns of Variation

• 3.1.1 Multi-Vari Analysis
• 3.1.2 Classes of Distributions

3.2 Inferential Statistics

• 3.2.1 Understanding Inference
• 3.2.2 Sampling Techniques & Uses
• 3.2.3 Central Limit Theorem

3.3 Hypothesis Testing

• 3.3.1 General Concepts & Goals of Hypothesis Testing
• 3.3.2 Significance; Practical vs. Statistical
• 3.3.3 Risk; Alpha & Beta
• 3.3.4 Types of Hypothesis Test

3.4 Hypothesis Testing with Normal Data

• 3.4.1 1 & 2 sample t-tests
• 3.4.2 1 sample variance
• 3.4.3 One Way ANOVA: Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.

3.5 Hypothesis Testing with Non-Normal Data

• 3.5.1 Mann-Whitney
• 3.5.2 Kruskal-Wallis
• 3.5.3 Mood’s Median
• 3.5.4 Friedman
• 3.5.5 Sample Sign
• 3.5.6 Sample Wilcoxon
• 3.5.7 One and Two Sample Proportion
• 3.5.8 Chi-Squared (Contingency Tables): Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.