Statistical Inference & Hypothesis Testing
A 18-module path through statistical inference & hypothesis testing, in study order from foundations to the frontier.
Modules
- Point Estimation & Sampling Error
- The Standard Error of the Mean
- Confidence Intervals for a Mean
- The Logic of Hypothesis Testing
- Null & Alternative Hypotheses
- The p-Value & Its Interpretation
- Type I & Type II Errors
- Statistical Power & Sample Size
- The One-Sample t-Test
- The Two-Sample t-Test
- The Paired t-Test
- Assumptions & Data Transformations
- The Chi-Squared Goodness-of-Fit Test
- The Chi-Squared Contingency Test
- Analysis of Variance (ANOVA)
- Post-Hoc Comparisons
- Non-Parametric Tests: Mann-Whitney & Wilcoxon
- Statistical vs Biological Importance