Asked by
devin giuliani
on Nov 04, 2024
Verified
If the level of significance is set at .001, the risk of a Type I error is:
A) 1 in 10
B) 1 in 100
C) 1 in 1000
D) 1 in 10000
Level of Significance
A threshold in hypothesis testing that determines the probability at which the null hypothesis is rejected.
Type I Error
The incorrect rejection of a true null hypothesis, also known as a "false positive," indicating a test's incorrect indication of a significant effect.
- Comprehend the statistical foundation of research encompassing inference, significance levels, and confidence intervals.
Verified Answer
RV
Learning Objectives
- Comprehend the statistical foundation of research encompassing inference, significance levels, and confidence intervals.
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