If a researcher rejects the null hypothesis when the null hypothesis is in fact true, the researcher has:
A) made a Type II error.
B) made a Type I error.
C) made an illusory correlation.
D) fallen prey to the confirmation bias.

Question

Quizplus · Accepted Answer

When a researcher rejects the null hypothesis when it is actually true, this is a Type I error. This means that the researcher has mistakenly concluded that there is a significant effect or relationship when there is not.

If a Researcher Rejects the Null Hypothesis When the Null