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Today's topic is parametric and non-parametric tests. To calculate a hypothesis test, it is important to understand the difference between these two types of tests and when to use each. Parametric tests, like t-tests and ANOVA, are used for data showing a normal distribution. Non-parametric tests, like Mann-Whitney and Spearman correlation, are used for data not showing a normal distribution. Non-parametric tests generally have fewer assumptions than parametric tests, making them a simpler option in some cases.
