MATLAB: An Introduction with Applications
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ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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When the null hypothesis is not rejected in the Test for Independence, it
TRUE or FALSE
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- 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?arrow_forwardRecognize when to use a hypothesis test?arrow_forwardCan the null hypothesis be a greater than or less than or is it always equals?arrow_forward
- A Type I error is defined as a. rejecting a null hypothesis when it is in fact true b. rejecting a false null hypothesis c. failing to reject a true null hypothesis d. failing to reject a false null hypothesisarrow_forwardFor the following null and alternative hypothesis describe the scenario of an instructor making a Type I Error Ho: A student is not cheating on an Exam H1: A student is cheating on an Examarrow_forwardIf 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 significantarrow_forward
- (d) Decide whether to reject or fail to reject the null hypothesis. O A. Fail to reject H, because the test statistic is in the rejection region(s). O B. Reject H, because the test statistic is not in the rejection region(s). O C. Fail to reject Ho because the test statistic is not in the rejection region(s). D. Reject Ho because the test statistic is in the rejection region(s). (e) Interpret the decision in the context of the original claim. A. At the 5% level of significance, there is sufficient evidence to reject the claim that the mean price is $24,000. B. At the 5% level of significance, there is not sufficient evidence to reject the claim that the mean price is $24,000. C. At the 5% level of significance, there is sufficient evidence to reject the claim that the mean price is not $24,000. O D. At the 5% level of significance, there is not sufficient evidence to reject the claim that the mean price is not $24,000.arrow_forwardWhen 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 ["", ""]arrow_forwardWhen the null hypothesis is not rejected, it is O possible a Type I error has occurred. not possible a Type II error has occurred. possible a Type II error has occurred. O possible either a Type I or a Type II error has occurred.arrow_forward
- The null hypothesis states that there is no difference between a parameter and a specific value, or that there is no difference between two parameters.arrow_forwardIn performing a hypothesis test, one should decide whether to reject or not reject the null hypothesis before summarizing the results. True or false. Explain.arrow_forwardWhat does the decision to retain null hypothesis implies?arrow_forward
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