Rejecting a correct null hypothesis is a type I error. True False
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A: Solution
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- 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 significantWhat 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.1st blank choices: contains/does not contain 2nd blank choices: null/alternative 3rd blank choices: sufficient/insufficient 4th blank choices : support/not reject 5th blank choices: sufficient/insufficient 6th blank choices: support/not reject
- A type of error that incorrectly rejects the null hypothesis a.Type 1 error b.Type Il error c.Probabilistic error d.Estimation error5. Conclusions True or false: In hypothesis testing, it is never valid to form a conclusion of supporting the null hypothesis.Executives of a supermarket chain are interested in the amount of time that customers spend in the stores during shopping trips. The mean shopping time, µ, spent by customers at the supermarkets has been reported to be 40 minutes, but executives hire a statistical consultant and ask her to determine whether it can be concluded that u is less than 40 minutes. To perform her statistical test, the consultant collects a random sample of shopping times at the supermarkets. She computes the mean of these times to be 34 minutes and the standard deviation of the times to be 10 minutes. Based on this information, answer the questions below.
- 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 False1- Type II error occurs when a false null hypothesis is not rejected Select one: True FalsePART 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.