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Assumption 1: Normality

Parametric tests assume that each group is roughly normally distributed.

If the sample sizes of each group are small (n < 30), then we can use a Shapiro-Wilk test to determine if each sample size is normally distributed.

If the p-value of the test is less than a certain significance level, then the data is likely not normally distributed.

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