Before conducting an independent samples t-test, you must verify two key assumptions: normality (data should be evenly distributed around the mean, checked using the Shapiro-Wilk test) and equal variances (groups should vary similarly, checked using Levene's test); the t-test is appropriate when each group has more than 30 participants.
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Warning: Check 2 Assumptions before t-TestAdded:
But before using t-test, you have to look at the assumptions. Most of them you do not have to test, but there are two you want to look for. First, normality. Your data should be evenly distributed along your average. Want to check with test, use Shapiro-Wilk.
Second assumption, equal variances. The people in your group should vary in a rather similar way. We want to check for it, use Levene test. Most software does it automatically. Just read the right row. Every group has more than 30 people, normally the t-test is a good choice.
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