If Avoiding Large Errors Is Important,____________________ Should Be Used Because

question 37

Short Answer

If avoiding large errors is important,____________________ should be used because it penalizes large deviations more heavily than does MAD.

---

Definitions:

Null Hypothesis

A statistical hypothesis that assumes no significant difference or effect exists within the data set being analyzed.

Familywise Error

Probability of making at least one Type I error across a set of comparisons.

Type I Errors

Mistakes made by falsely rejecting the null hypothesis when it is in fact true; also known as false positives.

Familywise Error

The overall likelihood that a Type I error (incorrect rejection of a true null hypothesis) will occur across a set of related hypotheses.