Pooled-Variance t Procedures: Investigating the Normality Assumption @jbstatistics
Pooled-Variance t Procedures: Investigating the Normality Assumption  @jbstatistics
Uploaded July 2013 | Updated September 2026, 2 hours ago
A discussion of the assumptions of pooled-variance t tests and confidence intervals for the difference in means. The assumptions are briefly discussed, and the effects of different violations of the normality assumption are investigated through simulation. The quick summary: Pooled-variance t procedures are more robust to violations of the normality assumption than their one-sample counterparts.
Pooled-Variance t Procedures: Investigating the Normality AssumptionAn Introduction to the Geometric Distribution
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Pooled-Variance t Procedures: Investigating the Normality Assumption

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