What are the two decisions that you can make from performing a hypothesis test?What are the two decisions that you can make from performing a hypothesis test? Select all that apply.A. fail to reject the alternative hypothesisC. accept the null hypothesisE. fail to reject the null hypothesisG. reject the null hypothesisB. reject the alternative hypothesisD.accept the alternative hypothesisF.make a type II errorH.make a type I error A null and alternative hypothesis are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed.Ho:Ha:σε 6.1o 6.1What type of test is being conducted in this problem?A. Right-tailed testB. Left-tailed testOC. Two-tailed test

It is given that The null and alternative hypotheses are H0: σ ≥ 6.1Ha: σ < 6.1

Answered: What are the two decisions that you can…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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You conduct a hypothesis test. Assuming you have made no errors in your calculations, what should we conclude if the test statistic ends up being positive? The claimed population proportion must be large. The sample proportion is larger than (or greater than) the claimed population proportion. The sample proportion is smaller than (or less than) the claimed population proportion. The sample size must be large. The claimed population proportion must be small.
Food inspectors inspect samples of food products to see if they are safe. This can be thought of as a hypothesis test with the following hypotheses. Họ: the food is safe H3: the food is not safe The following is an example of what type of error? The sample suggests that the food is safe, but it actually is not safe. type I O type II O not an error
A claim is made that the proportion of college students who have Netflix accounts is 0.92. Mateo believes this claimed value is too high. He is able to survey a random sample of 180 college students, and he finds that the sample proportion who have Netflix accounts is 0.88. Mateo proceeds to use this data to conduct a hypothesis test. Based on this information, which one of the following statements is correct? The P-value will be smaller than 0.01 but larger than 0. The P-value will be between 0.01 and 0.05. The P-value will be between 0.05 and 0.10. The P-value will be larger than 0.10. The P-value will be negative.
Guilty or Innocent? In the U.S. court system, a defendant is assumed innocent until proven guilty. Suppose that you regard a court trial as a hypothesis test with null and alternative hypotheses H0: Defendant is innocentHa: Defendant is guilty. a. Explain the meaning of a Type I error.b. Explain the meaning of a Type II error.c. If you were the defendant, would you want a to be large or small? Explain your answer.If you were the prosecuting attorney, would you want ß to be large or small? Explain your answer.e. What are the consequences to the court system if you make a = 0? ß = 0?
The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject Ho when the level of significance is (a) a = 0.01, (b) a = 0.05, and (c) a = 0.10. P= 0.0158 (a) Do you reject or fail to reject Ho at the 0.01 level of significance? O A. Reject H, because the P-value, 0.0158, is greater than a = 0.01. O B. Fail to reject H, because the P-value, 0.0158, is greater than a = 0.01. O C. Fail to reject Ho because the P-value, 0.0158, is less than a = 0.01. O D. Reject Ho because the P-value, 0.0158, is less than g = 0.01. (b) Do you reject or fail to reject Ho at the 0.05 level of significance?
The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject Ho when the level of significance is (a) α = 0.01, (b) α = 0.05, and (c) α = 0.10. P = 0.0176 (a) Do you reject or fail to reject Ho at the 0.01 level of significance? A. Reject Ho because the P-value, 0.0176, is less than α = 0.01. B. Reject Ho because the P-value, 0.0176, is greater than α = 0.01. C. Fail to reject Ho because the P-value, 0.0176, is greater than α = 0.01. D. Fail to reject Ho because the P-value, 0.0176, is less than α = 0.01. (b) Do you reject or fail to reject Ho at the 0.05 level of significance? A. Fail to reject Ho because the P-value, 0.0176, is less than α = 0.05. B. Reject Ho because the P-value, 0.0176, is greater than α = 0.05. C. Reject Ho because the P-value, 0.0176, is less than α = 0.05. D. Fail to reject Ho because the P-value, 0.0176, is greater than α = 0.05. (c) Do you reject or fail to reject Ho at the 0.10 level of significance? A. Fail to reject Ho because the…
What is a type I and a type II error? Select one: A. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. B. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. C. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. D. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false
Answer all these questions A, B and C questions.
When a hypothesis test is being carried out, there are four different situations that can occur depending on the truthfulness of the null hypothesis. Type I error occurs when the following situation happen The null hypothesis is false, but we mistakenly fail to reject it. The null hypothesis is true, but we mistakenly reject it. The null hypothesis is false, and we reject it. The null hypothesis is true, and we fail to reject it.
What is a type I error? What is a type II error? Choose the correct answer below. C.. O A. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. A type Il error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false. O B. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. OC. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. O D. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true.
Hello can you answer 4 for me
Which of the following is the first step in hypothesis testing? (a) Developing a null and alternative hypothesis. (b) Drawing a sample from the population. (c) It does not matter where you begin when you test hypotheses. (d) Setting the cutoff value for rejecting the null hypothesis.

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