5/22/2023 0 Comments Statistics cheat sheetInference for Means (conditions) Random: Data from a random sample(s) or randomized experiment Consider an alternative that is farther away from μ0: values of μ that are in Ha, but lie close to the hypothesized value that are harder to detect than values of μ that are far from μ0. Increase a: A 5% test of significance will have a greater change of rejecting the null than a 1% test.ģ. Sample Size: To increase power, increase sample size.Ģ. (Rejecting Correctly) Factors that affect Power 1. Power: Probability of rejecting Ho when Ho should be rejected. Type II Error: Failing to (II) reject Ho when Ho should be rejected. Type I Error: Rejecting Ho when Ho is actually true. We do/(do not) have enough evidence at the 0.05 level to conclude that the difference between the mean _ for all _ and the mean _ for all _ is _. Μ1-μ2= The difference between the mean _ for all _ and the mean _ for all _. Two sample t-testĬonclusion Key Phrase: DIFFERENCE IN MEANS We do/(do not) have enough evidence at the 0.05 level to conclude that the mean difference in _ for all _ is _. ΜDiff = The mean difference in _ for all _.
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