Inference for Two Population Means

Overview

Explore statistical inference techniques for comparing two population means in this comprehensive tutorial. Learn about pooled-variance t-tests and confidence intervals for equal population variances, Welch t-tests and confidence intervals for unequal variances, and paired-difference t-tests and confidence intervals. Understand the sampling distribution of the difference in sample means, and gain practical experience through examples. Discover when to use pooled or unpooled variance methods, and get an introduction to paired-difference procedures for analyzing related samples.

Syllabus

Inference for Two Means: Introduction.
The Sampling Distribution of the Difference in Sample Means (X_1 bar - X_2 bar).
Pooled-Variance t Tests and Confidence Intervals: Introduction.
Pooled-Variance t Tests and Confidence Intervals: An Example.
Welch (Unpooled Variance) t Tests and Confidence Intervals: Introduction.
Welch (Unpooled Variance) t Tests and Confidence Intervals: An Example.
Pooled or Unpooled Variance t Tests and Confidence Intervals? (To Pool or not to Pool?).
An Introduction to Paired-Difference Procedures.