STAT_2122_Homework_13

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May 8, 2024

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STAT 2122-002 Homework 13 Instructor: Shengwen Guo Due date: December 6, 2023 Problem 1. For healthy individuals the level of prothrombin in the blood is approximately normally dis- tributed with mean 20 mg/100 mL and standard deviation 4 mg/100 mL. Low levels indicate low clotting ability. In studying the effect of gallstones on prothrombin, the level of each patient in a sample is measured to see if there is a deficiency. Let µ be the true average level of prothrombin for gallstone patients. (a) What are the appropriate null and alternative hypotheses? (b) Let ¯ X denote the sample average level of prothrombin in a sample of n = 20 randomly selected gallstone patients. Consider the test procedure with test statistic ¯ X and rejection region ¯ x 17 . 92. What is the probability distribution of the test statistic when H 0 is true? What is the probability of a type I error for the test procedure? (c) What is the probability distribution of the test statistic when µ = 16 . 7? Using the test procedure of part (b), what is the probability that gallstone patients will be judged not deficient in prothrombin, when in fact µ = 16 . 7 (a type II error)? (d) How would you change the test procedure of part (b) to obtain a test with significance level . 05? What impact would this change have on the error probability of part (c)? (e) Consider the standardized test statistic Z = ¯ X 20 σ/ n = ¯ X 20 . 8944 . What are the values of Z corresponding to the rejection region of part (b)? Problem 2. The melting point of each of 16 samples of a brand of hydrogenated vegetable oil was deter- mined, resulting in ¯ x = 94 . 32. Assume that the distribution of melting point is normal with σ = 1 . 20. (a) Test H 0 : µ = 95 versus H a : µ ̸ = 95 using a two-tailed level . 01 test. (b) If a level . 01 test is used, what is β (94), the probability of a type II error when µ = 94? (c) What value of n is necessary to ensure that β (94) = . 1 when α = . 01? Problem 3. The amount of shaft wear (.0001 in.) after a fixed mileage was determined for each of n = 8 internal combustion engines having copper lead as a bearing material, resulting in ¯ x = 3 . 72 and s = 1 . 25. (a) Assuming that the distribution of shaft wear is normal with mean µ , use the t test at level .05 to test H 0 : µ = 3 . 50 versus H a : µ > 3 . 50. (b) Using σ = 1 . 25, what is the type II error probability β ( µ ) of the test for the alternative µ = 4 . 00? 1
Problem 4. The recommended daily dietary allowance for zinc among males older than age 50 years is 15 mg/day. The article “Nutrient Intakes and Dietary Patterns of Older Americans: A National Study” ( J. Gerontol. , 1992: M145–150) reports the following summary data on intake for a sample of males age 65-74 years: n = 115 , ¯ x = 11 . 3 , and s = 6 . 43. Does this data indicate that average daily zinc intake in the population of all males age 65-74 falls below the recommended allowance? (Here we use α = 0 . 05) Problem 5. A mileage test is conducted for a new car model. Fifty randomly selected cars are driven for a month and the mileage is carefully measured in each. The mean mileage for the sample is 28 . 6 miles per gallon and the sample standard deviation is 2 . 2 miles per gallon. (a) We want to test whether the true mean mileage is greater than 30. Perform a hypothesis testing using α = 0 . 05 and state your conclusion. (b) What is the Type II error probability when the true mean mileage is 31? (c) If we wish a Type II error probability of 0 . 05 when the true mean mileage is 31, what sample size should we use? (d) Assume that the true population is normal. Construct a 95% confidence interval for the mean mileage. (Be careful, the case changes!) 2
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