PSY 608 Statistical Design in Research
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The statistical design of supervised online experiments (also known as A/B exams) is the result of transforming an important business question into an experiment with a well-defined statistical model that allows data to be used for decision-making, in the case of uncertainty. The plan should fully describe the experiment in terms of decisions related to the statistical model.
A statistical plan can include many elements, such as well-defined assumptions (see assumptions), the number and distribution of test groups, one or more major KPIs and potential minor KPIs.
Choose appropriate statistical data (such as absolute difference and percentage change) and statistical tests, as well as any corrections (such as p-value adjustments) that need to be performed due to repeated testing. The effect of interest, test duration and Sample size (after capability analysis and risk-reward analysis), reject the invalid hypothesis or the required significance threshold of the evaluator's confidence, choose to use a fixed sample size or sequential test design, and proceed as soon as possible.
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