Question

Determine whether the outcome is a Type I error, a Type II error, or a correct...

Determine whether the outcome is a Type I error, a Type II error, or a correct decision.

A test is made of H0: μ = 25 versus H1: μ ≠ 25. The true value of μ is 25 and H0 is rejected.

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

In this problem we test VS   .

By the definition of a type -1 error,we reject when it is true. In the question is rejected when it is true,i.e, when .

Hence a type 1 error has been committed.

Please leave a comment if there is any doubt.

Leave an up vote if you like the solution...!!!

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Determine whether the outcome is a Type I error, a Type II error, or a correct...
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of =:H0μ60 versus <:H1μ60 . The true value of μ is 58 , and H0 is not rejected.
determine whether the outcome is a Type I error, a type II error, or a correct...
determine whether the outcome is a Type I error, a type II error, or a correct decision, explain your answer. A test is made of H0:u=18 versus H1:unot equal 18. the true value of u is 18 and H0 is not rejected
A test is made of H0: μ = 25 versus H1: μ ≠ 25. The true...
A test is made of H0: μ = 25 versus H1: μ ≠ 25. The true value of μ is 28 and H0 is rejected. Determine whether the outcome is a Type I error, a Type II error, or a correct decision.        a-Correct decision         b-Type II error         c-Type I error
A test is made of H0: μ = 10, H1: μ > 10. H0 is rejected....
A test is made of H0: μ = 10, H1: μ > 10. H0 is rejected. The true value of μ is 10. Is the result a Type I error, a Type II error, or the correct decision?
For the given significance test, explain the meaning of a Type I error, a Type II...
For the given significance test, explain the meaning of a Type I error, a Type II error, or a correct decision as specified. A health insurer has determined that the "reasonable and customary" fee for a certain medical procedure is $1200. They suspect that the average fee charged by one particular clinic for this procedure is higher than $1200. The insurer performs a significance test to determine whether their suspicion is correct using α = 0.05. The hypotheses are: H0:...
A test of H0: μ = 60 versus H1: μ ≠ 60 is performed using a...
A test of H0: μ = 60 versus H1: μ ≠ 60 is performed using a significance level of 0.01. The P-value is 0.033. If the true value of μ is 53, does the conclusion result in a Type I error, a Type II error, or a correct decision?
Determine the probability of making a Type II error for the following hypothesis test, given that...
Determine the probability of making a Type II error for the following hypothesis test, given that μ=1061 μ=1061. H0 : μ = 1040 H1 : μ >1040 For this test, take σ=47, n=26, and α=0.07. P(Type II Error) = I would really like to understand how to solve this kind of question not just the answer if anyone has the time to explain the logic (and formulas) it would be much appreciated
Type I error: Washers used in a certain application are supposed to have a thickness of...
Type I error: Washers used in a certain application are supposed to have a thickness of 2 millimeters. A quality control engineer measures the thicknesses for a sample of washers and tests H0: μ = 2 versus H1: μ ≠ 2. b. If a Type II error is made, what conclusion will be drawn regarding the mean washer thickness?
Regarding the definition of Type I and Type II error, which of the following is correct?...
Regarding the definition of Type I and Type II error, which of the following is correct? A) Type I error: Fail to reject the null hypothesis when it is actually false. B) Type II error: Reject the null hypothesis when it is actually true. C) The probability of Type I error is equal to the significance level. D) Neither Type I error nor Type II error can be controlled by the experimenter.
Determine the probability of making a Type II error for the following hypothesis test, given that...
Determine the probability of making a Type II error for the following hypothesis test, given that mu=216. H0: mu=215.   H1: mu is not= 215. For this test, take sd=12, n=40, and alpha =0.05. P(Type II Error)=?
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT