Question: Why do reported or nominal p values often seriously underestimate
Why do reported or "nominal" p values often seriously underestimate true risk of Type I error?
Answer to relevant QuestionsWhat is statistical power? What information is needed to decide what sample size is required to obtain some desired level of power (such as 80%). When a researcher reports a “p” value, p stands for “probability” or risk. a. What probability does this p refer to? b. Do we typically want p to be large or small? c. What is the conventional standard for an ...What is an α level? What determines the value of α? How can you identify and remedy: errors in data entry, outliers, and missing data? A researcher collects data on married couples to see whether men and women differ in their mean levels of marital satisfaction. For each married couple, both the husband and wife fill out a scale that measures their level of ...
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