How does using a more appropriate statistical test impact error reduction?

Using a statistical test that is more appropriate for the data's distribution and the research question can lead to a more accurate assessment of evidence. For instance, using a parametric test when assumptions are met is generally more powerful than a non-parametric equivalent, thus reducing Type II errors. This increased accuracy can also help avoid spurious findings that might lead to Type I errors.