Question

If a researcher mistakenly concludes that there is a significant effect when, in fact, there is none, what type of error is committed?

• A. Measurement error
• B. Type II error
• C. Sampling error
• D. Type I error

Hint:

Type I error = False positive = Rejected a true null hypothesis.

Answer 1

The Correct Option is D

A Type I error occurs when the null hypothesis is wrongly rejected—meaning we conclude there is an effect or difference when in reality, there isn’t. This is also known as a “false positive” result.