Rejecting a correct null hypothesis is a type I error.TrueFalse

true Rejecting the null hypothesis when its actually true

Answered: Rejecting a correct null hypothesis is…

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

If we reject the Null Hypothesis then the Test Statistic is outside the Critical Region and the Test Statistic is not significant the Test Statistic is inside the Critical Region and is the Test Statistic is significant the Test Statistic is inside the Critical Region and is the Test Statistic is not significant the Test Statistic is outside the Critical Region and is the Test Statistic is significant
What are the null hypothesis (H) and the alternative hypothesis (H,) that should be used fo test? HoiH is ? H:p is ? v ? v v ? へへ In the context of this test, what is a Type I error? A Type I error is ? v the hypothesis that u is ? v ? v. v ? v when, in fact, u is ? Suppose that the consultant decides to reject the null hypothesis. What sort of error might she be making? ?
When the null hypothesis is true, the F test statistic is close to ["", "", ""] . When the null hypothesis is false, the F test statistic is most likely ["", ""]
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.
A type Il error A. is the rejection of a true null hypothesis. OB. arises when the false null hypothesis is not rejected. OC. arises when the true null hypothesis is not rejected. OD. is the rejection of a false null hypothesis.
5. Conclusions True or false: In hypothesis testing, it is never valid to form a conclusion of supporting the null hypothesis.
a) In a chi-square test, the “expected” counts are the values we expect if there is an association between the variables. True False b) A small chi-square test statistic is consistent with the null hypothesis. True False
1- Type II error occurs when a false null hypothesis is not rejected Select one: True False
PART B (b) Based on your answer to part (a), which of the following statements is true? ____ Since the p- valueis less than the significance level, the null hypothesis is rejected. _____ Since the p- valueis less than the significance level, the null hypothesis is not rejected. ____ Since the p- valueis greater than the significance level, the null hypothesis is rejected. ___ Since the p- valueis greater than the significance level, the null hypothesis is not rejected.
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All test of hypothesis are based on the assumptions that A. The null hypothesis is true B. The observed difference is important c. The null hypothesis is false and should be rejected D. Type l errors are more serious than type ll errors E. None of the above
Suppose that 5000 students who have taken the SAT exam once are randomly assigned to either take an SAT coaching course or not, with the following results in their improvements in SAT scores when they take the exam a second time: Coaching Group Control Group Sample Sample Size Sample Mean Standard Deviation 2500 2500 46.2 44.4 12.3 5.5

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Rejecting a correct null hypothesis is a type I error. True False