PSY 240 Lecture Notes - Lecture 1: Null Hypothesis, Statistic, Decision Rule
8 May 2019
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State the hypothesis: ho: population mean (m) = (#, h1: population mean (m) does not = (#, example, null iq=100, alternate iq does not = 100, 4. Parts of inferential stats test: z = 1. 67, z critical = 1. 96 between depaul iq and population iq scores. If the z was more extreme, we would reject the null: fail to reject the null hypothesis no evidence of a difference, 1. Measure of association how much of a difference we saw: 2. Measure of sampling error how much of a difference we"d: 3. Gives the actual probability of getting a statistic that extreme or more extreme if your null hypothesis was true: tells us exactly how likely or unlikely our sample statistics is (if our null was true) Evidence of a relationship does not prove causality prep class and better gre scores: ex.
