The t-Test for Independent Samples (UMAP)
Author: Thomas R. Knapp
In using this module students will gain: 1) the ability to carry out the t-test of the statistical significance of the difference between two independent sample means; 2) an understanding of the probabilistic nature of statistical inference and the difference between statistical significance and practical significance.
Table of Contents:
1. A COMMON PROBLEM
2. SAMPLING TWO SEPARATE POPULATIONS
3. THE COMPARATIVE EXPERIMENT
3.1 The Design
3.2 An Illustrative Example
4. THEORETICAL BACKGROUND FOR THE t-TEST
4.1 Assumptions
4.2 The Null and Alternative Hypotheses
4.3 The t-Statistic
5. ANALYSIS OF THE KINDERGARTEN DATA
6. ANOTHER EXAMPLE
7. DISCUSSION
8. EXERCISES
9. REFERENCES
10. FINAL EXAM
11. ANSWERS TO EXERCISES
12. ANSWERS TO FINAL EXAM
Mathematics Topics:
Application Areas:
Prerequisites:
You must have a Full Membership to download this resource.
If you're already a member, login here.