The test statistic for the HR manager's hypothesis test about the mean number of recorded participants is 13.86. The critical value is -1.751. The rejection region is left-tailed. Conclude whether to reject or not reject Ho, and interpret the results. Select the correct answer below: O Reject Ho. The test results are not statistically significant and at best, provide weak evidence against the null hypothesis. Reject Ho. The data provide sufficient evidence to conclude that the alternative hypothesis is true. Do not reject Ho. The test results are not statistically significant and at best, provide weak evidence against the O O null hypothesis. O Do not reject Ho. The data provide sufficient evidence to conclude that the alternative hypothesis is true.
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- An agency that hires out clerical workers claims its workers can type, on average, at least 60 words per minute (wpmwpm). To test the claim, a random sample of 50 workers from the agency were given a typing test, and the average typing speed was 58.8 wpmwpm. A one-sample tt-test was conducted to investigate whether there is evidence that the mean typing speed of workers from the agency is less than 60 wpmwpm. The resulting pp-value was 0.267. Which of the following is a correct interpretation of the pp-value? The probability is 0.267 that the mean typing speed is 60 wpmwpm or more for workers from the agency. A The probability is 0.267 that the mean typing speed is 60 wpmwpm or less for workers from the agency. B The probability is 0.267 that the mean typing speed is 58.8 wpmwpm or less for workers from the agency. C If the mean typing speed of workers from the agency is 60 wpmwpm, the probability of selecting a sample of 50 workers with mean 58.8…A store that sells LPG claims that the mean weight of their tanks are exactly 11-kgs as prescribed. Using a random sample of 15 LPG tanks, a regular customer tests the theory that the average weight of the store's tanks are somehow lower than the prescribed weight. Use a significance level of α=0.10A company that manufactures steel wires guarantees that the mean breaking strength (in kN) of the wires is greater than 50. They measure the strengths for a sample of wires and test H0 : μ ≤ 50 versus H1 : μ > 50. a) If a Type I error is made, what conclusion will be drawn regarding the mean breaking strength? b) If a Type II error is made, what conclusion will be drawn regarding the mean breaking strength?
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