Topic 3 - Power Analysis Slides (2).pptx - Lab 3 Power...

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1Lab 3: Power AnalysisWhen we make a “Reject” or “Fail to Reject” decision regarding the null hypothesis, we can make two types of errors:oWe can believe that there is an effect when, in reality, there isn’t…… Type I erroroWe can believe that there is notan effect when, in reality, there is…… “Type II errorDecision Table
2The Powerof a statistical test (1 – b) is the probability that the test will find an effect when one actually exists.Calculations in a Power analysis mainly involve: Number of subjects in the sample (N), effect size (ES), alevel, Power (1 – b) Typical ranges for statistical power are from 0 – 1 with smaller numbers suggesting very little power, and numbers closer to 1 suggesting greater power. As in conventional effect size estimates, power statistics are expressed as decimals with 0 - .20

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