Asked by Tasha Barnes on Jul 26, 2024
Verified
The level of risk associated with rejecting a true null hypothesis is known as _____.
A) Type I error
B) Type II error
C) Type III error
D) power
True Null Hypothesis
The proposition that there is truly no effect or difference, as opposed to the hypothesis being tested, which suggests that there might be.
Level of Risk
Indicates the potential for loss or harm which can result from a given action, activity, or decision.
Type I Error
The probability of rejecting a null hypothesis when it is true.
- Identify various types of errors (Type I and II) in hypothesis testing.
Verified Answer
LR
lokeshwar ReddyJul 31, 2024
Final Answer :
A
Explanation :
The level of risk associated with rejecting a true null hypothesis is known as Type I error. Type II error is when the null hypothesis is not rejected when it is actually false, while Type III error is when the wrong hypothesis is tested altogether. Power, on the other hand, is the probability of correctly rejecting a false null hypothesis.
Learning Objectives
- Identify various types of errors (Type I and II) in hypothesis testing.