1. Lec. 19 – Hypothesis Testing: The Null and Types of Error

2. How Science Works...

3. Example of a statistical test?

4. Components of the theory about testing statistical hypotheses about parameters of population distributions:

5. Description of Null and Alternative Hypotheses

6. Null hypothesis

7. Alternative hypothesis

8. Consequences of testing

9. Choice of estimators of parameters and test statistics

10. How the test statistic, z, works in the t-test

11. Significance levels and rejection or critical regions

12. Consequences of changing 

13. Types of Error and their Probabilities

15. Number of observations required for a test