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WCU ECO 252 - ECO 252 First Hour Exam

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DIAGRAM2/17/99 252y9911 ECO252 QBA2 Name FIRST HOUR EXAM Hour of Class Registered (Circle) February 23, 1999 MWF TR 10 12 12:30 2:00Show your work! Make Diagrams!I. (14 points) Do all the following. 6,7~ Nx1. 31  xP  67.033.1673671 zPzP   1596.2486.4082.067.0033.1  zPzP2. 1111  xP  67.000.367116711 zPzP   74725.2486.49865.67.00000.3  zPzP3. 914  xP  33.050.36796714 zPzP   6291.1293.4998.33.00050.3  zPzPFor 3.5 see SS Table 18.4. 0xP  17.1670 zPzP   8790.5000.3790.0017.1  zPzP5. 5.129 xP  92.033.0675.12679 zPzP   1919.1293.3212.33.0092.00  zPzP6. A symmetrical interval about the mean with 94% probability.We want two points 03.97. and xx, so that 9400.03.97. xxxP. From the diagram, if we replace x by z,  4700.003. zzP. The closest we can come is  4699.88.10 zP. So 88.103.z, and  28.117688.1703.zx, or –4.28 to 18.28.7. 11.xWe want a point 11.x, so that 11.11.xxP. From the diagram, if we replace x by z,  3900.011. zzP. The closest we can come is  3907.23.10 zP. So 23.111.z, and  38.77623.1711.zx or 14.38 .2/17/99 252y9911II. (6 points-2 point penalty for not trying part a.) A sample of the number of days it took a broker to sell houses appears below. Assume that we were sampling from a normal distribution. Home Days 1 48 2 63 3 88 4 101 5 31 a. Compute the sample variance, s, of the number of days it takes to sell a house. Show your work.(3)b. Compute a 90% confidence interval for the mean time, , that it takes to sell a house.(3)Solution: a. Home x (Days) x2 1 48 2304 2 63 3969 3 88 7744 4 101 10201 5 31 961 Total 331 25179. b. From the problem statement 10.. From Table 3 of the syllabus supplement, if the population variance is unknown  x t sx2 and 132.2405.12ttn.7805.1255780.2857.816nssx. So  25.272.667805.12132.22.66  or 38.95 to 93.45. 2.665331nxx 42.6652517912222nxnxs 7.816 or 5780.28s.22/17/99 252y9911III. Do at least 3 of the following 5 Problems (at least 10 each) (or do sections adding to at least 30 points - Anything extra you do helps, and grades wrap around) . Show your work! State 0H and 1H where appropriate.1. The broker claims that the average time to sell a house is at most 50 days. a. State the Hypotheses that you are testing. (2)b. Using the data from the previous problem (page 2.), test the hypotheses (95% confidence level) using:(i) A test ratio (2)(ii) Critical values (2)(iii) A confidence interval (2)c. Find an approximate p-value for the null hypothesis. (1)d. Now find a 90% confidence interval for the standard deviation.(3)Solution: From Table 3 of the Syllabus Supplement:Interval for Confidence IntervalHypotheses Test Ratio Critical ValueMean ( known)xzx20100:H:Hxxz0xcvzx20Mean ( unknown)xstx21nDF0100:H:Hxsxt0xcvstx20a.50:H50:H10   132.2,05.,41,50405.10ttnDFnFrom the previous page: 2.66x and 7805.1255780.2857.816nssx.b. (i) Test Ratio: 2676.17805.12502.660xsxt. This is in the ‘accept’ regionbelow 2.132, so do not reject H0. (ii) Critical Value: Since this is a one-sided test, xcvstx0  24.27507805.12132.250  or 77.24. This means that we reject H0if the sample mean is above 77.24. since 2.66xis belowthis critical value, do not reject H0. (iii) Confidence Interval: Since this is a one-sided test, xstx  24.272.667805.121323.22.66  or 95.38. This does not contradict50:H0, because any mean in the range 38.95 to 50 satisfies both statements, so do not reject H0.c. From the t table t= 1.2676 is smaller than  533.1410.tbut is larger than 190.1415.t, so that, forthis 1-sided test, we can say 10.15.  pvalue.   2676.1 tPpvalued. From page 1 of the Syllabus Supplement:    n s n s 1 122222122 .41 nDF and10.. Since 05.2 and 95.21 , look up  4677.94205. and  7107.04295.. 3So    295.22205.211snsn  or      7107.07.81644877.97.81642 or 59.459632.3442. Finally, taking square roots, 80.67555.18 .2/17/99 252y99112. A new broker opens in town and a sample of nine houses gives the following days to sale:Home Days 1 62 2 28 3 114 4 113 5 716 297 538 549 34Assuming that the distribution is not normal, a. Find a confidence level for the following interval for the median: 11329 . (3)b. Test the hypotheses that the median is at most 50 at the  10% level. (5)c. If we have a sample of 300 numbers in order and take the 15th from each end, what would the confidence level be? (3)d. (Extra credit) What numbers would we use if we wanted a 99% confidence interval for the median and had a sample of 300 numbers? (3)Solution:a. If we put the numbers in order, we get 28 29 34 53 54 62 71 113 114. Thus we want the 2nd number from the end. If 9nand 2k, we find from the binomial table (with 5.p),  1211  kxP    96094.01953.21121  xP.    81  xPxPb. From the outline:Hypotheses about a median Hypotheses about a proportionIf p is the proportion above0If p is the proportion


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WCU ECO 252 - ECO 252 First Hour Exam

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