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Statistics 200 Honors, Fall 2002 Lab assignment #12, Nov. 22 Your Names: Type or copy/paste your answers to the following questions. Do not erase the questions. When you finish, print this document and hand it in. 1. Suppose that the heights of 25-year-old males are approximately normally distributed with mean 71 inches and standard deviation 2.5 inches. (a) How tall are the tallest 2.5% of males? (b) What is the probability that a male selected at random is shorter than 68 inches? 2. Data on 224 students who started as computer science majors at a particular university are collected. Their math SAT scores are analyzed to determine whether high school males score higher than high school females on the math SAT in the United States. Relevant Minitab output is shown below. gender Female Male N 79 145 Mean 565.0 611.8 StDev 82.9 84.0 SE Mean ??? ??? 95% CI for mu (Female) - mu (Male ): ( -69.8, -23.7) T-Test mu (Female) = mu (Male ) (vs <): T = ????? P = 0.0000 DF = 162 (a) Find the values of SE Mean for the female and male samples. (b) Calculate the value of the appropriate t-statistic. Show your work. Do not assume equal variances. (c) Although the p-value for the test is very small, we may still have doubts as to whether high school males score higher than high school females on the math SAT in the United States. Explain the reason for these doubts. 3. A recent study of college students at a large public university was carried out to determine whether a student's choice of major has anything to do with whether that student receives a student loan to pay for a portion of his or her education. Here are the results from a SRS of 583 students: Rows: Field of Study Engish Columns: Student Loan no yes 58.30 41.70 All 100.00 137 98 235 Liberal arts and education 58.22 124 41.78 89 100.00 213 Management 68.00 51 32.00 24 100.00 75 Science 48.33 29 51.67 31 100.00 60 All 58.49 341 41.51 242 100.00 583 Chi-Square = 5.353, DF = ????, P-Value = ????? Cell Contents -% of Row Observed Count (a) Circle every one of the eight cells for which the observed count is higher than the expected count. Explain your reasoning. (b) How many degrees of freedom should be used here? Find the p-value for the chisquare statistic of 5.353. 4. Suppose that the heights of 25-year-old women are approximately normally distributed with unknown mean and unknown standard deviation. We draw a SRS from the population of 25-year-old women with n=10. We wish to test the null hypothesis H0: =66 against the one-sided alternative H1: <66. (a) If we observe the sample standard deviation, s, to be 2.4 inches, what is the standard error of the sample mean, x-bar? (b) If we observe the sample mean to be 64, find the t-statistic and the p-value of the test.