Question

Which statement is true?

a) Researchers should ignore results that are the opposite to what they hypothesized.
b) Researchers whose results are opposite to what was hypothesized should scrutinize alternative theories, their own methods, and findings from earlier research.
c) Statistically significant results that are the opposite to what was hypothesized are likely the result of a Type II error.
d) Statistically significant results that are the opposite to what was hypothesized are likely wrong.

Answer 1

c) Statistically significant results that are the opposite to what was hypothesized are likely the result of a Type II error.

Explanation:

Which statement is true?

statistically significant results are results of a null hypothesis that is true. while

Type 2 error is the error that occur when one fails to reject a null hypothesis that is wrong.

therefore, Statistically significant results that are the opposite to what was hypothesized, is a type 2 error, because it is false.

c) Statistically significant results that are the opposite to what was hypothesized are likely the result of a Type II error.