This quiz works best with JavaScript enabled. Home > Ugc Net > Paper 1 > Research > Tests Of Significance – Quiz 2 🏠 Homepage 📘 Download PDF Books 📕 Premium PDF Books Tests Of Significance Quiz 2 (18 MCQs) Quiz Instructions Select an option to see the correct answer instantly. 1. What does it mean when a test is statistically significant? A) The test statistic had a P-value higher than the alpha level. B) The test statistic had a P-value lower than the alpha level. C) It is important in practical terms. D) It has reached alpha level status. Show Answer Correct Answer: B) The test statistic had a P-value lower than the alpha level. 2. What is the Power of a test? A) The probability that we correctly accept a true null. B) How tough it is. C) A strong force. D) The probability that we correctly reject a false null. Show Answer Correct Answer: D) The probability that we correctly reject a false null. 3. The football coach thinks about half his players are skipping leg day in the gym. He follows 10 of his players around for a week, he found that 6 of them skipped leg day in the gym. Does this give evidence that over half of his students are skipping leg day? A) 2 sample z-test. B) 1 proportion z-test. C) 2 sample t-test. D) 1 sample t-test. Show Answer Correct Answer: B) 1 proportion z-test. 4. An engineer designs an improved light bulb. The previous design had an average lifetime of 1200 hours. The new bulb had a lifetime of 1201 hours, using a sample of 2000 bulbs. Although the difference is quite small, the effect was statistically significant. The explanation is that A) New designs typically have more variability than standard designs. B) The mean of 1200 is large. C) The new bulbs last longer than the old bulb. D) The sample size is very large. Show Answer Correct Answer: D) The sample size is very large. 5. On August 8, 2009 broadcasters on the Fox TV "Game of the Week" noted that Yankees outfielder Nick Swisher hit 3 home runs at home and 15 on the road. He claimed that his performances indicate that Swisher has a greater ability to hit home runs at home than on the road. What is the null hypothesis? A) Nick Swisher has the same ability to hit home runs at home and on the road. B) Nick Swisher has a greater ability to hit home runs at home than on the road. C) Nick Swisher performed equally well at home and on the road. D) Nick Swisher performed better at home than on the road. Show Answer Correct Answer: A) Nick Swisher has the same ability to hit home runs at home and on the road. 6. A tire manufacturer claims that one particular type of tire will last at least 50, 000 miles. A group of angry customers does not believe this is so. They took a sample of 14 tires to test if the mean mileage of the tires is really less than 50, 000. If 0.0100 < P-value < 0.0200, what decision should be made if testing at the a = 0.05 level? A) Reject H0 and conclude that the tires were not performing as claimed. B) Reject H0 and conclude that the mean tire life really is 50, 000 miles. C) Do not reject H0 and conclude that the tires were not performing as claimed. D) Do not reject H0 and conclude that the mean tire life really is 50, 000 miles. Show Answer Correct Answer: A) Reject H0 and conclude that the tires were not performing as claimed. 7. An Air Force vase mess hall has received a shipment of 10, 000 gallon size cams of cherries. The supplier claims that the average amount of liquid is 0.25 gallons per can. A government inspector took a random sample of 100 cans and found that the average liquid content to be 0.28 gallons per can with a standard deviation of 0.10. Does this indicate that the supplier's claim is too low? (Use a 5% level of significance) A) Do not reject Ho (z=3). B) Reject Ho (z=2.56). C) Do not reject Ho (z=3). D) Reject Ho (z=2.56). Show Answer Correct Answer: A) Do not reject Ho (z=3). 8. How do you reduce both types of errors from occurring? A) Redo the tests. B) Tamper with the data. C) Increase the sample size. D) It can't be reduced. Show Answer Correct Answer: C) Increase the sample size. 9. Slab avalanches studied in Canada have an average thickness of $\mu$ = 67 cm. The ski patrol at Vail Colorado, is studying slab avalanches in their region. A random sample of 16 avalanches showed that x-bar = 61.8cm and s = 10.6 cm. Assuming the slab thickness is normally distributed, test the claim that the mean slab thickness is the Vail region is different from that in Canada with a level of significance of 1%. A) Reject Ho (z=-1.57). B) Reject Ho (z=-1.57). C) Do not reject Ho (z=-1.96). D) Do not reject Ho (z=-1.96). Show Answer Correct Answer: C) Do not reject Ho (z=-1.96). 10. Which of the following best describes a Type I error? A) The null is true, but we mistakenly reject it. B) The null is false and we reject it. C) The null is false, but we fail to reject it. D) The null is true but we fail to reject it. Show Answer Correct Answer: A) The null is true, but we mistakenly reject it. 11. A leading auto manufacturer claimed that a popular version of its minivan was available in the Midwest foran average price or $ 16, 000 with a standard deviation of $ 800. A consumer group doubted that report and surveyed 50 recent purchasers of the minivan to dispute the manufacturer's claim. They came up with an average of $ 16, 277. Does this show that the manufacturer is making a false claim? A) Matched-Pairs T Test for a Mean. B) One-Sample T Test for a Mean. C) One-Sample Z Test for a Mean. D) Two-Sample T Test for the Difference in Means. Show Answer Correct Answer: B) One-Sample T Test for a Mean. 12. Your conclusion about a hypothesis test should have all of the following characteristics EXCEPT A) A clear link to the context of the problem. B) A comparison of your p-value to a specific alpha-level. C) Stating your conclusion in reference to the alternative hypothesis. D) A confidence interval to further show that your conclusion is correct. Show Answer Correct Answer: D) A confidence interval to further show that your conclusion is correct. 13. In 1975, a random sample of 1484 adult U.S. citizens was surveyed, and 193 strongly agreed with the statement, "People should take care of themselves." Then, in 1991, a survey of 1013 adult U.S. citizens showed that only 61 strongly agreed with the statement. Does this indicate that the proportion of U.S. adults who strongly agree with the given statement has dropped? A) 1 proportion z-test. B) 1 sample t-test. C) 2 sample t-test. D) 2 proportion z-test. Show Answer Correct Answer: D) 2 proportion z-test. 14. A sports publication states that 32% of married men cannot watch football games because their wives prevent it. You think that this is untrue. What is your null hypothesis? A) The proportion of married men who cannot watch football because their wives prevent it is 0.32. B) The proportion of married men who cannot watch football because their wives prevent it is greater than 0.32. C) The proportion of married men who cannot watch football because their wives prevent it is less than 0.32. D) The proportion of married men who cannot watch football because their wives prevent it is not 0.32. Show Answer Correct Answer: A) The proportion of married men who cannot watch football because their wives prevent it is 0.32. 15. A random sample of 49 medical doctors in LA showed that they worked an average of 53.1 hours/week with a standard deviation of 7.2 hours/week. If the California average is 60 hours/week, does this give evidence that the LA doctors work significantly less than the rest of California? A) 2 proportion z-test. B) 1 proportion z-test. C) 1 sample t-test. D) 2 sample t-test. Show Answer Correct Answer: C) 1 sample t-test. 16. The average miles on a tank of gas for the FordExplorer is 300 miles with a standard deviation of 22miles. A consumer group feels the average is actuallylower. They survey 40 vehicles and find the averagemiles per tank is 290 miles. At $\alpha$ = 0.05, test theconsumer groups' claim that the miles per tank isactually lower than 300 miles. A) There is not enough evidence to reject the claim. B) There is enough evidence to reject the claim. C) There is not enough evidence to support the claim. D) There is enough evidence to support the claim. Show Answer Correct Answer: D) There is enough evidence to support the claim. 17. What is the probability of mistakenly failing to reject a false Ho when a hypothesis test is being conducted at the 5% significance level (at 0.05)? A) There is insufficient information to answer this question. B) 0.10. C) 0.05. D) 0.025. Show Answer Correct Answer: A) There is insufficient information to answer this question. 18. This hypothesis describes what we want to establish or what we expect is true. A) Two-Way Table. B) Null Hypothesis. C) Hypothesis Test. D) Alternative Hypothesis. Show Answer Correct Answer: D) Alternative Hypothesis. ← PreviousRelated QuizzesPaper 1 QuizzesUgc Net QuizzesTests Of Significance Quiz 1Reporting And Thesis Writing QuizResearch And Scientific Methods QuizResearch Concept QuizResearch Design QuizResearch Ethics QuizResearch Methodology QuizResearch Papers For Journals Quiz 🏠 Back to Homepage 📘 Download PDF Books 📕 Premium PDF Books