For the multiple choice questions, circle the best answer.In hypothesis testing, a Type 1 error occurs when:A. the null hypothesis is not rejected when the alternative hypothesis is true.B. the null hypothesis is rejected when the alternative hypothesis is true.C. the null hypothesis is not rejected when the null hypothesis is true.D. the null hypothesis is rejected when the null hypothesis is true.In hypothesis testing, a Type 2 error occurs when:A. the null hypothesis is not rejected when the alternative hypothesis is true.B. the null hypothesis is not rejected when the null hypothesis is true.C. the null hypothesis is rejected when the alternative hypothesis is true.D. the null hypothesis is rejected when the null hypothesis is true.In a hypothesis test the decision was made to not reject the null hypothesis. Which type of mistakecould have been made?А. Туре 1.В. Туре 2.C. Type 1 if it's a one-sided test and Type 2 if it's a two-sided test.D. Type 2 if it's a one-sided test and Type 1 if it's a two-sided test.If, in a hypothesis test, the null hypothesis is actually true, which type of mistake can be made?А. Туре 1.В. Туре 2.C. Type 1 if it's a one-sided test and Type 2 if it's a two-sided test.D. Type 2 if it's a one-sided test and Type 1 if it's a two-sided test.In an American criminal trial, the null hypothesis is that the defendant is innocent and the alternativehypothesis is that the defendant is guilty. Which of the following describes a Type 2 error for a criminaltrial?A. A not guilty verdict for a person who is innocentB. A guilty verdict for a person who is innocent.C. A guilty verdict for a person who is not innocent.D. A not guilty verdict for a person who is guiltyIf I increased a in my statistical test for parameter 0, which of the following would be true? (select allthat apply)A. Type I error increasesB. Type II error increasesC. Power increasesD. Var(0) decreasesWhich of the following increases the power of a statistical test? (select all that apply)A. raising the sample sizeB. lowering aC. the value of the true parameter being closer to the nullD. decreasing test sensitivity

In hypothesis testing, the Type I error is known as the probability of rejecting the null hypothesis…

s testing, a Type 1 error occurs when: e null hypothesis is not rejected when the alternative hypothesis is true. e null hypothesis is rejected when the alternative hypothesis is true. e null hypothesis is not rejected when the null hypothesis is true. e null hypothesis is rejected when the null hypothesis is true. s testing, a Type 2 error occurs when: e null hypothesis is not rejected when the alternative hypothesis is true. e null hypothesis is not rejected when the null hypothesis is true. e null hypothesis is rejected when the alternative hypothesis is true. e null hypothesis is reiected when the null hypothesis is true.

s testing, a Type 1 error occurs when: e null hypothesis is not rejected when the alternative hypothesis is true. e null hypothesis is rejected when the alternative hypothesis is true. e null hypothesis is not rejected when the null hypothesis is true. e null hypothesis is rejected when the null hypothesis is true. s testing, a Type 2 error occurs when: e null hypothesis is not rejected when the alternative hypothesis is true. e null hypothesis is not rejected when the null hypothesis is true. e null hypothesis is rejected when the alternative hypothesis is true. e null hypothesis is reiected when the null hypothesis is true.

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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Similar questions

Suppose you have a hypothesis test which never rejects the null hypothesis, no matter the value of the test statistic. Name a potential problem with such a test. Select one: a. There can be no problem with such a hypothesis test, this is the ideal scenario. b. Using this test would lead to making an excessive number of Type I errors. c. Using this test would lead to making an excessive number of Type II errors.
In a given hypothesis test, the null hypothesis cannot be rejected at the 0.005 and the 0.01 level of significance, but can be rejected at the 0.03 level. The most accurate statement about the p- value for this test is: O A. p-value 0.03
Which of the following is an example of a Type 2 error? Rejecting a false null hypothesis. Rejecting a true null hypothesis. Failing to reject a false null hypothesis. Failing to reject a true null hypothesis.
(a) Identify the null hypothesis and alternative hypothesis.
(a) Identify the claim and state H0 and Ha. (b) Use technology to find the P-value. (c) Decide whether to reject or fail to reject the null hypothesis and (d) interpret the decision in the context of the original claim.
In an hypothesis test the decision was made to reject the null hypothesis. The null hypothesis was later determined to be true. What kind of error, if any, was committed? Type I error Type II error No error
If we do not reject the null hypothesis when the null hypothesis is in false, then we have made a
A fair coin is flipped 80 times, and it turns up heads 30 times. You want to test the hypothesis that the coin does not turn up heads one-half of the time. Pick the correct null hypothesis. i. H0 : p = 3/8 ii .H0 : p = 1/2 iii. H0 : ˆp = 3/8 iv. H0 : ˆp = 1/2