Asked by Janee S Holston on Apr 26, 2024
Verified
Statistical significance is also known as the risk of ______.
A) a Type II error
B) power
C) a null error
D) a Type I error
Statistical Significance
Indicates that the observed results are unlikely to have occurred by chance, according to a predefined level of significance.
Type I Error
The statistical mistake of rejecting a true null hypothesis, also known as a "false positive."
Type II Error
The error that occurs when one fails to reject a false null hypothesis, also known as a false negative.
- Compare and contrast Type I and Type II errors, including their implications.
Verified Answer
OS
Olivia SchubertApr 29, 2024
Final Answer :
D
Explanation :
Statistical significance is the probability of rejecting the null hypothesis when it is actually true, which is referred to as a Type I error.
Learning Objectives
- Compare and contrast Type I and Type II errors, including their implications.