Testing a Hypothesis: T-test for Independent Samples (UMAP)

This module presents a problem and its solution indicating the role of the statistical t-test of significance in the research process. The example here is biological. Students perform the t-test on experimental data, interpret the calculated value of t, and gain an understanding of the general relationship between the statistical arithmetic and the design and conduct of experiments.

Table of Contents:

1. THE BIOLOGICAL PROBLEM

2. A COMPREHENSIVE EXPERIMENT
2.1 Setting up the Experiment
2.2 Features of the Chosen Design

3. EXPERIMENTAL DATA

4. STATISTICAL RATIONALE
4.1 The Null Hypothesis
4.2 Test of Significance
4.3 The t-Statistic (Ratio)

5. DATA ANALYSIS

6. INTERPRETATION
6.1 Importance of Degrees of Freedom
6.2 The Level of Significance

7. CONFIDENCE IN THE CONCLUSION

8. EXERCISES

9. ANSWERS TO EXERCISES

10. MODEL EXAM

11. ANSWERS TO MODEL EXAM

SPECIAL ASSISTANCE SUPPLEMENT