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WCU ECO 252 - ECO 252 Second Hour Exam

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252y0121 3/26/01 ECO252 QBA2 Name SECOND HOUR EXAM Hour of Class Registered (Circle) March 20, 2001 MWF 10 11 TR 12:302:00 I. (14 points) Do all the following. (Make diagrams!!!) 9,6~ Nx1. 163  xP  11.100.19616963 zPzP    7078.3665.3413.11.10000.1  zPzP2. 50 xP  11.067.0965960 zPzP    2048.0438.2486.011.0067.0  zPzP3.  1424  xP 89.033.396149624 zPzP    8129.3133.4996.89.00033.3  zPzP4. 42  xP  22.089.0964962 zPzP    2262.0871.3133.022.0089.0  zPzP5. 2F (The Cumulative probability up to 2) . 2xP 962zP  44.0 zP   3300.1700.5.044.00  zPzP6. A symmetrical interval about the mean with 79% probability. We want two points 105.895. and xx, so that 7900.105895. xxxP. Make a diagram showing 6 in the middle at the center of a 79% region split into two areas with probabilities of .3950. From the diagram, if we replace x by z,  3950.0105. zzP. The closest we can come is  3944.25.10 zP or  3962.26.10 zP. Sinceneither of these is much closer than the other, use 255.1105.z, and 295.1169255.16105.zx, or -5.295 to 17.295. To check this note that 295.17295.5  xP96295.1796295.5zP     7900.3950.2255.1022558.1295.1  zPzP7. 008.x We want a point 008.x, so that 008.008.xxP. Make a diagram of zshowing zero in the middle, .4920 between 0 and 008.z and .008 above 008.z. From the diagram, if we replace x by z,  .4920.0008. zzP The Normal table says 4920.41.20 zP. So 41.2008.z, and  .69.27941.26008.zx To check this note  9669.2769.27 zPxP  41.2 zP   008.4920.5.41.200  zPzP 252y0121 3/19/01II. (6 points-2 point penalty for not trying part a.) Show your work! A test shopper goes to Miller's Supermarkets 8 times and to Albert's Supermarkets 8 times. The amount that was spent using a standardized shopping list is shown below. You can regard these data as two independent random samples from populations with a normal distribution. For Miller's, the sample mean is 115.25 and the sample standard deviation is 1.75255. mx axObs Miller's Albert's 1 112 119 2 115 121 3 115 122 4 117 120 5 117 122 6 117 124 7 115 122 8 114 122a. Compute as, the standard deviation for Albert's. (3)b. Compute a 99% confidence interval for the difference between the population means 1 and 2 assuming that the variances are equal for the two parent populations. According to your confidence interval, is there a significant difference between the population means (You must tell why!)? (3) c. (Extra Credit) (i) Redo the confidence interval on the assumption that the variances are not equal. (6) (ii) Use an F-test to tell whether you should have assumed that the variances were or were not equal. (2) Solution: a) Use 2x for Albert's and 1x for Miller's.25.1152x and 75255.12s, so07143.322s. Line 1x 21x 1 119 14161 2 121 14641 3 122 14884 4 120 14400 5 122 14884 6 124 15376 7 122 14884 8 122 14884 972 11811450.1218972111nxx  2857.2716750.12181181141212112121nxnxs51186.11sb) From Table 3 of the Syllabus Supplement: Interval for Confidence IntervalHypotheses Test Ratio Critical Value2Difference between Two Means ( unknown, variances assumed equal) d t sd2s sn ndp 1 11 2DF n n  1 22HH :0:1     001 2tdsd0   211ˆ212222112nnsnsnspd t scvd 023252y0121 3/19/0125.625.11550.12151186.1,2857.2,50.121211211xxdssx 14288275255.1,0714.3,25.115212222nnDFssx,01.    211ˆ212222112nnsnsnsp=    977.267955.220714.32857.2140714.372857.2714005.t s sn ndp  1 11 2    818467.06698875.025.67955.2818167955.2  Confidence Interval: dstd2   4366.225.681847.0977.225.6 or 3.81 to 8.69. The interval does not include 0, so there is a significant difference between the means.Formally, our hypotheses are 21100:H0:H or 211210:H:H or 0:H0:H211210 We reject H0.Solution: b) From the formula table;Interval for Confidence IntervalHypotheses Test Ratio Critical ValueDifference between Two Means( unknown, variances assumed unequal)dstd2222121nsnssd1122122222121222121nnnsnsDFnsnsHH :01:     001 2Same as HH :if 01:  1 21 200dsdt0dcvstd2025.625.11550.12151186.1,2857.2,50.121211211xxdssx 01.75255.1,0714.3,25.1152222ssx4669643.0383929.080714.3285714.082857.2222121222121nsnsnsns 8183172.0669643.0222121nsnssd 1122222121212222121nnsnnsnsnsDF    7052.137383929.428571.2669643.222, so use 13 degrees of freedom. 5252y0121 3/19/01 012.313005.tConfidence Interval: The 2-sided interval is dstd2  669643.0012.325.6  25.62.01 or 4.24 to 8.26c) F test. 211210::HH. To test this at the 1% significance level, test 7442.00714.32857.22221ss and343.17442.012122ss against  7,7005.F. 


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