Asked by
Matthew Gonzales
on Nov 05, 2024
Verified
The larger the value of alpha, the lower the likelihood of rejecting the null hypothesis.
Alpha
In statistics, it denotes the significance level used in hypothesis testing, typically set to 0.05 or 5%, representing the probability of rejecting the null hypothesis when it is actually true.
Likelihood
The probability of a particular outcome given a set of parameters within a statistical model.
- Comprehend the function and analysis of alpha (α) level within the context of hypothesis evaluation.
Verified Answer
TS
Learning Objectives
- Comprehend the function and analysis of alpha (α) level within the context of hypothesis evaluation.