Section 1 Content

1.1 Apps

• Comparison of Two Means: Independent Samples t-test

• Comparison of Three Means: One-way Analysis of Variance

• Multiple Comparisons Means: FWER & FDR

1.2 Content

Unpaired t-test

• Hypothesis
• Model
• Model assumptions
• Interpretation

One-way analysis of variance

• Motivating example
• Data structure
• Hypothesis
• Model
• Model assumptions
• Model fitting
• Partitioning sum of squares
• Interpretation of model outcomes
• Checking model assumptions
• Predictions
• Multiple comparisons

Multiple comparison of means

• Post-hoc analysis: Multiple testing
• Familywise error rate
• False discovery rate
• R implementation