Asked by Martha Ramirez on Apr 27, 2024
Verified
A Type I error occurs when we:
A) reject a false null hypothesis.
B) reject a true null hypothesis.
C) don't reject a false null hypothesis.
D) don't reject a true null hypothesis.
Type I Error
Erroneously rejecting a valid null hypothesis, which is also known as a "false positive."
Null Hypothesis
A hypothesis that suggests there is no statistical significance between the two variables being studied.
Rejecting
In statistical hypothesis testing, it refers to the act of dismissing the null hypothesis based on the level of significance and the test statistic.
- Acquire knowledge about the interpretations and significances of Type I and Type II mistakes in testing hypotheses.
Verified Answer
MM
Mallory ManzanoApr 29, 2024
Final Answer :
B
Explanation :
A Type I error occurs when we reject a true null hypothesis, which means we have mistakenly concluded that there is an effect or relationship when there really isn't one. This is also known as a "false positive" result.
Learning Objectives
- Acquire knowledge about the interpretations and significances of Type I and Type II mistakes in testing hypotheses.