Hypothesis Testing Checklist: A Step-by-Step Guide for JC2

Hypothesis Testing Checklist: A Step-by-Step Guide for JC2

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Frequently Asked Questions

The first step is to clearly define the null hypothesis (H0) and the alternative hypothesis (H1) based on the problem statement.
Checking assumptions, such as normality or independence, ensures that the chosen hypothesis test is valid and that the results are reliable.
Choose the test statistic (e.g., z-test, t-test, chi-square test) based on the type of data (continuous, categorical), sample size, and whether population variance is known.
The p-value indicates the probability of observing a test statistic as extreme as, or more extreme than, the one calculated, assuming the null hypothesis is true.
Compare the p-value to the significance level (alpha). If the p-value is less than alpha, reject the null hypothesis; otherwise, fail to reject it.
State your conclusion in the context of the problem, indicating whether there is sufficient evidence to support the alternative hypothesis, and acknowledge any limitations of the test.