Testing a Claim Chapter 11/12
Significance Tests: The Basics Section 1
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.
Stating Hypotheses
Interpreting P-Values
Statistical Significance
Job Satisfaction Continued
Type I and Type II Errors
The Power of a Statistical Test
Tests about a Population Proportion Section 9.2
Significance Tests: 4 Steps
Potato Example Cont.
Calculating Shortcuts and Exam Tips….
Two Sided Tests
Tests about Population Mean Section 9.3