Asked by Kimberly Medlin on Jun 08, 2024
Verified
There is no relationship between alpha and the likelihood of rejecting the null hypothesis.
Alpha
Often used to denote the level of significance in hypothesis testing, typically set at 0.05.
Likelihood
A measure of the probability that an observed set of data would occur under a particular statistical model or hypothesis.
- Understand the role and interpretation of alpha (α) level in hypothesis testing.
Verified Answer
LS
Lovejeet SinghJun 15, 2024
Final Answer :
False
Explanation :
The decision to reject or not reject the null hypothesis is based on comparing the p-value (probability of obtaining the observed results or more extreme results if the null hypothesis is true) to the chosen alpha level (the level of significance predetermined by the researcher). If the p-value is less than the alpha level, the null hypothesis is rejected. Therefore, the alpha level directly affects the likelihood of rejecting the null hypothesis.
Learning Objectives
- Understand the role and interpretation of alpha (α) level in hypothesis testing.