Statistical Type I and Type II errors
A) refer to false positive and false negative conclusions, repectively.
B) need not be a concern of program evaluators.
C) refer to false negative and false positive conclusions, respectively.
D) are sometimes desirable if they lead to an evaluation conclusion that is favorable to the program.

Question

Quizplus · Accepted Answer

Type I error refers to a false positive conclusion, where a true null hypothesis is incorrectly rejected. Type II error refers to a false negative conclusion, where a false null hypothesis is incorrectly accepted.

Statistical Type I and Type II Errors