Asked by Jamie Stallings on Jul 18, 2024
Verified
In a hypothesis test, if the null hypothesis has been rejected, then it is impossible that a Type II error has been committed.
Type II Error
The error that occurs when the null hypothesis is falsely accepted, failing to detect an effect or difference when one actually exists.
Null Hypothesis
The hypothesis in statistical analysis that posits no significant difference or relationship exists among groups or variables being studied.
- Acquire knowledge about the implications of Type I and Type II mistakes in hypothesis testing scenarios.
Verified Answer
AE
Ashle ElizabethJul 19, 2024
Final Answer :
True
Explanation :
When the null hypothesis is rejected, it means a decision has been made against it, which precludes the possibility of a Type II error, as a Type II error occurs when the null hypothesis is incorrectly accepted (or not rejected).
Learning Objectives
- Acquire knowledge about the implications of Type I and Type II mistakes in hypothesis testing scenarios.
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