Violation of the assumptions underlying statistical tests can result in increased risk of ____.
A)Type I error only
B)Type II error only
C)both Type I and Type II errors
D)neither Type I nor Type II error

Question

Quizplus · Accepted Answer

Violation of assumptions underlying statistical tests can result in both type I and type II errors. Type I error occurs when the null hypothesis is rejected when it is actually true, while type II error occurs when the null hypothesis is not rejected when it is actually false. Violation of assumptions can affect the accuracy of statistical tests, leading to incorrect conclusions and thus increasing the risk of type I and type II errors.

Violation of the Assumptions Underlying Statistical Tests Can Result in Increased