Question

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)=?

Homework Answers

Answer #1

P(Type II error)=0.9176

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
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
T or F? If the probability of a Type II error for a given hypothesis test...
T or F? If the probability of a Type II error for a given hypothesis test is 0.40, then it must have power equal to .40 T or F? The mean of the distribution of sample means is equal to the mean for the population from which the samples are obtained when the samples are large, but not when they are small.
Can someone answer and explain how to do these problems? 1 Type II Error: For the...
Can someone answer and explain how to do these problems? 1 Type II Error: For the roulette table in (Q6), determine which hypothesis testing scenario has the larger Type II error probability for a two-sided hypothesis for HO: p=18/19: 1. a) N=10,000, p=0.96 , α=0.05 OR b) N=10,000, p=0.97 , α=0.05. 2. a) N=10,000, p=0.96, α=0.05 OR b) N=50,000, p=0.96, α=0.05. 3. a) N=10,000, p=0.97, α=0.05 OR b) N=10,000, p=0.97, α=0.01. Describe how the Type II error is influenced by...
Suppose the hypothesis test H0:μ=12H0:μ=12 against Ha:μ<12Ha:μ<12 is to be conducted using a random sample of...
Suppose the hypothesis test H0:μ=12H0:μ=12 against Ha:μ<12Ha:μ<12 is to be conducted using a random sample of n=44n=44 observations with significance level set as α=0.05α=0.05. Assume that population actually has a normal distribution with σ=6.σ=6. Determine the probability of making a Type-II error (failing to reject a false null hypothesis) given that the actual population mean is μ=9μ=9. P(Type-II error) ==
If the probability of a type II error in a hypothesis test is 0.07, what is...
If the probability of a type II error in a hypothesis test is 0.07, what is the power of the hypothesis test? Assuming your sample is unbiased, would increasing the size of the sample increase or decrease the power of the hypothesis test? Please explain your answer.
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.
Can explain how to do these problems? 1 Type II Error: For the roulette table in...
Can explain how to do these problems? 1 Type II Error: For the roulette table in (Q6), determine which hypothesis testing scenario has the larger Type II error probability for a two-sided hypothesis for HO: p=18/19: 1. a) N=10,000, p=0.96 , α=0.05 OR b) N=10,000, p=0.97 , α=0.05. 2. a) N=10,000, p=0.96, α=0.05 OR b) N=50,000, p=0.96, α=0.05. 3. a) N=10,000, p=0.97, α=0.05 OR b) N=10,000, p=0.97, α=0.01. Describe how the Type II error is influenced by N, p and...
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
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:...
Typically, when we decrease the probability of a type I error for a hypothesis test, we:...
Typically, when we decrease the probability of a type I error for a hypothesis test, we: decrease the probability of a type II error increase the probability of a type II error