Asked by Nitin Channa on Jun 24, 2024
Verified
α is the probability of ______.
A) making a type I error
B) making a type II error
C) not making a type I error
D) not making a type II error
Type I Error
The false rejection of the true null hypothesis, often referred to as a "false positive," in the context of hypothesis testing.
Type II Error
A statistical error that occurs when a false null hypothesis is not rejected.
α
Denotes the level of significance in hypothesis testing; a threshold below which the p-value must fall for results to be considered statistically significant.
- Understand the concepts of type I and type II errors in hypothesis testing.
- Understand the chances related to type I and type II errors (α and β).
Verified Answer
LK
levonja knightJun 29, 2024
Final Answer :
A
Explanation :
α is the level of significance used in hypothesis testing and represents the probability of making a type I error, which is rejecting a true null hypothesis.
Learning Objectives
- Understand the concepts of type I and type II errors in hypothesis testing.
- Understand the chances related to type I and type II errors (α and β).