Exam 9: One-Sample Hypothesis Tests

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The level of significance refers to the probability of making a Type I error.

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The power of a test is the probability that the test will reject a false null hypothesis.

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In the nation of Gondor,the EPA requires that half the new cars sold will meet a certain particulate emission standard a year later.A sample of 64 one-year-old cars revealed that only 24 met the particulate emission standard.The test statistic to see whether the proportion is below the requirement is

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We can assume that the sample proportion is normally distributed if

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In testing the hypotheses H0: π ≤ π0,H1: π > π0,we would use a right-tailed test.

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If the null and alternative hypotheses are H0: μ ≤ 100 and H1: μ > 100,the test is right-tailed.

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Larger samples lead to increased power,ceteris paribus.

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Guidelines for the Jolly Blue Giant Health Insurance Company say that the average hospitalization for a triple hernia operation should not exceed 30 hours.A diligent auditor studied records of 16 randomly chosen triple hernia operations at Hackmore Hospital and found a mean hospital stay of 40 hours with a standard deviation of 20 hours."Aha!" she cried,"the average stay exceeds the guideline." At α = .025,the critical value for a right-tailed test of her hypothesis is

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In testing a proportion,which of the following statements is incorrect?

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A smaller probability of Type II error implies higher power of the test.

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A sample of 16 ATM transactions shows a mean transaction time of 67 seconds with a standard deviation of 12 seconds.State the hypotheses to test whether the mean transaction time exceeds 60 seconds.

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The process that produces Sonora Bars (a type of candy)is intended to produce bars with a mean weight of 56 gm.The process standard deviation is known to be 0.77 gm.A random sample of 49 candy bars yields a mean weight of 55.82 gm.Which are the hypotheses to test whether the mean is smaller than it is supposed to be?

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Julia hypothesizes that fewer than 90 percent of her Visa purchases are under $100.She examines a random sample of her recent purchases and performs a test.The results shown below are from MegaStat.What would Julia conclude from this test? Explain carefully. Julia hypothesizes that fewer than 90 percent of her Visa purchases are under $100.She examines a random sample of her recent purchases and performs a test.The results shown below are from MegaStat.What would Julia conclude from this test? Explain carefully.

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If we desire α = .10,then a p-value of .13 would lead us to reject the null hypothesis.

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When σ is unknown,it is more conservative to use z instead of t for the critical value.

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When your sample size increases,the chance of both Type I and Type II error will increase.

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The probability of a false positive is decreased if we reduce α.

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In a right-tailed test,a statistician got a z test statistic of 1.47.What is the p-value?

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In hypothesis testing,the value of β is

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Mary examined a random sample of Friday withdrawals from a college campus ATM.She hypothesized that the mean was less than $100.The results shown below are from MegaStat.What would Mary conclude from this test? Explain carefully. Mary examined a random sample of Friday withdrawals from a college campus ATM.She hypothesized that the mean was less than $100.The results shown below are from MegaStat.What would Mary conclude from this test? Explain carefully.

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