A Type II error is defined as a.rejecting a null hypothesis when it is in fact true b.failing to reject a false null hypothesis c.rejecting a false null hypothesis d.failing to reject a true null hypothesis

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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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Which of the following is an accurate definition of a Type I error? A.) Rejecting a false null hypothesis B.) Rejecting a true null hypothesis C.) Failing to reject a false null hypothesis D.) Faling to reject a true null hypothesis
2. a) What is type I and Type Il Error in terms of the null hypothesis? b) Give an example of type I and Type II Error
A psychologist is conducting a study to determine whether a new therapy is safe and effective at treating PTSD. If the null hypothesis is Ho: the new therapy is safe and effective, and the alternative hypothesis is H₁: the new therapy is not safe and effective, state the Type I and Type II errors.
A Type I error is: Select one: incorrectly specifying the null hypothesis. accepting the null hypothesis when it is false. rejecting the null hypothesis when it is true. incorrectly specifying the alternative hypothesis.
If you make an error of rejecting the null hypothesis when it is true, this type of error is Type I error. True False
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: O a. Using this test would lead to making an excessive number of Type Il errors. O b. There can be no problem with such a hypothesis test, this is the ideal scenario. O c. Using this test would lead to making an excessive number of Type l errors.
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Which of the following is an example of a Type 1 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.
On Monday, Philip rejected a null hypothesis that was true. On Tuesday, he retained a true null hypothesis. What kind of week is he having? o.k. – he made a Type I error on Monday and a correct decision on Tuesday bad – he is confounded and his power level is too low bad – he made a Type I error on Monday and a Type II error on Tuesday bad – he made a Type II error on Monday and a Type I error on Tuesday
A Type I error occurs if you reject the null hypothesis when in fact it is true. a.)True b.)False
A type I error A. arises when the false null hypothesis is not rejected. OB. is the rejection of a true null hypothesis. C. arises when the true null hypothesis is not rejected. O D. is the rejection of a false null hypothesis.
A teacher is comparing the mena study time of his freshmen and senior students. He believes that his senior students spend more time studyin per week than his freshmen studnet and decides to perform a hypothesis test on his belief. a. Suppose the decision of the hypothesis test is to reject the null hypothesis. If, in realiry, treshmen study for a mean of 10 hours per week and seniors study for a mena of 15 hours per week, was an error made? if so, what type? b. Suppose the decision of the hypothesis test is to fail to reject the null hypothesis. if, in realiry, freshmen study for a mena of 15 hours per seek and seniors study for a mean of 15 hours per week, was an error made? is so, what type?

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	a.	rejecting a null hypothesis when it is in fact true
	b.	failing to reject a false null hypothesis
	c.	rejecting a false null hypothesis
	d.	failing to reject a true null hypothesis

Type II error is defined as a. rejecting a null hypothesis when it is in fact true b. failing to reject a false null hypothesis c. rejecting a false null hypothesis d. failing to reject a true null hypothesis