Why is it necessary for there to be no outiers in the data for parametric tests. I know the tests assume there are no outliers in the data so that in itself is reason to make sure there aren't any.
Why do the tests assume there aren't any outliers? Is it because outliers affect the value of the mean and parametric tests rely on the mean?
Also why do parametric tests require normally distributed data and homogeneity of variance?