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Question: What are Type I error rate and power? Define them in the context of planning an experiment to test a research hypothesis.

03 Oct 2022,11:17 PM

 

-What are Type I error rate and power? Define them in the context of planning an experiment to test a research hypothesis.

-How is Cohen's d effect size defined and what are the guidelines for a small, medium, and large effect given by Cohen (1988)?

-What is the difference between a priori and post hoc power analyses and which one is more useful and why?

-Discuss several factors that have an effect on power.

Expert answer

 

Type I error rate and power are important concepts to consider when planning an experiment to test a research hypothesis. The Type I error rate is the probability of rejecting the null hypothesis when it is actually true. The power is the probability of correctly rejecting the null hypothesis. To maximize the chances of correctly rejecting the null hypothesis, it is important to choose a sample size that will give a high power. To minimize the chances of making a Type I error, it is important to choose a significance level that is appropriate for the research hypothesis being tested.

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