1. Testing a Claim Chapter 11/12

2. Significance Tests: The Basics Section 1

3. Reasoning of Significance Tests  Significance Test: a formal procedure for comparing observed data with a hypothesis whose truth we want to assess  In plain English, an outcome that would rarely happen if a claim were true is good evidence that the claim is not true.  Hypothesis: A statement about the parameters in a population or model.  The results of a test are expressed in terms of probability that measures how well the data and the hypothesis agree.

4. Stating Hypotheses

6. Interpreting P-Values

7. Statistical Significance

8. Job Satisfaction Continued

10. Type I and Type II Errors

11. The Power of a Statistical Test

12. Tests about a Population Proportion Section 9.2

13. Significance Tests: 4 Steps

16. Potato Example Cont.

17. Calculating Shortcuts and Exam Tips….

18. Two Sided Tests

20. Tests about Population Mean Section 9.3