Question

12. In which of the following situation does a Type I error occurs?
A. The null hypothesis is accepted when it is false.
B. The null hypothesis is accepted when it is true.
C. The null hypothesis is rejected when it is false.
D. The null hypothesis is rejected when it is true.​

Answer 1

Answer:

D-The null hypothesis is rejected when it is true

Answer 2

D. The null hypothesis is rejected when it is true.

Explanation:

In statistical analysis, a type 1 error is characterised by an accidental rejection of a true null hypothesis.  

And a type 2 error is the exact opposite, it is an accidental acceptance of a null hypothesis that is actually false.  

An example of the type 1 erroe would be rejection of the null hypothesis "height is related to weight in an individual" when it is true.