What is the consequence of violating one of the necessary assumptions of parametric inferential statistics?
A)The is never rejected.
B)The is never retained.
C)The actual probability of making a Type I error is larger than $\alpha$.
D)The actual probability of making a Type I error is smaller than $\alpha$.

Question

What is the consequence of violating one of the necessary assumptions of parametric inferential statistics?
A)The is never rejected. 
B)The is never retained. 
C)The actual probability of making a Type I error is larger than $\alpha$. 
D)The actual probability of making a Type I error is smaller than $\alpha$.

Quizplus · Accepted Answer

Violating one of the necessary assumptions of parametric inferential statistics can increase the probability of making a Type I error, which is rejecting a true null hypothesis. This means that the actual probability of making a Type I error is larger than the significance level (alpha) set for the test.

What Is the Consequence of Violating One of the Necessary α\alphaα

What Is the Consequence of Violating One of the Necessary $\alpha$