Question

1. what does a type ii error signify in hypothesis testing?

a. failing to reject a false null hypothesis.
b. correctly accepting the null hypothesis.
c. rejecting a true alternative hypothesis.
d. correctly rejecting the null hypothesis.

Explanation:

In hypothesis testing, a Type II Error occurs when we fail to reject a false null hypothesis. Option b is a correct decision (not an error). Option c is not the definition of Type II Error. Option d is also a correct decision (not an error).

Answer:

a. Failing to reject a false null hypothesis.