An inflated risk of Type I error is the main reason not to use parametric tests when their assumptions are not met.

Name: An inflated risk of Type I error is the main reason not to use parametric tests when their assumptions are not met.
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Using parametric tests when their assumptions (such as normality and homogeneity of variances) are not met can lead to an inflated risk of Type I error, which is falsely rejecting the null hypothesis when it is actually true.

An Inflated Risk of Type I Error Is the Main