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Consortium for Mathematics and its Applications

Product ID: 99555
Supplementary Print
Undergraduate

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

©1982 by COMAP, Inc.
UMAP Module
14 pages

Mathematics Topics:

Probability & Statistics

Application Areas:

Social Studies , Political Science

Prerequisites:

Basic descriptive statistics, the normal distribution; understanding random sampling and random assignment; calculate a mean and a sum of squared deviations from a mean; summation notation

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