Topic: Two-Sample t Inference

Reading Two-Sample T Output in Statistical Software

Planning Sample Sizes for Comparing Two Means

Interpreting Two-Sample Confidence Intervals

Hypotheses for Comparing Two Population Means

Graphical Diagnostics for Two-Group T Procedures

Directional Alternatives and One-Sided Tests

Defining the Two-Population Mean Difference

Conditions for Reliable Two-Sample T Inference

Computing Two-Sided and One-Sided T P-Values

Comparing Pooled and Welch Standard Errors