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WCU ECO 252 - ECO 252 First Hour Exam

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DIAGRAM2/22/99 252y9912 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. 7,6~ Nx1. 31  xP  43.000.1763761 zPzP   1749.1664.3413.043.0000.1  zPzP2. 1111  xP 71.043.276117611 zPzP   7536.2611.4925.71.00043.2  zPzP3. 916  xP 43.014.37697616 zPzP   6656.1664.4992.43.00014.3  zPzPFor 3.14 see SS Table 18.4. 0xP      0086.086.0760 zPzPzPzP8051.5.3051. 5. 5.129 xP 93.043.0765.12769 zPzP   1574.1664.3238.43.0093.00  zPzP6. A symmetrical interval about the mean with 96% probability.We want two points 02.98. and xx, so that 9600.02.98. xxxP. From the diagram, if we replace x by z,  4800.002. zzP. The closest we can come is  4798.05.20 zPor  4803.06.20 zP. So 054.202.z, though 2.05 or 2.06 are fine, and  38.1467054.2602.zx, or –8.38 to 20.38.7. 13.xWe want a point 13.x, so that 13.13.xxP. From the diagram, if we replace x by z,  3700.013. zzP. The closest we can come is  3708.13.10 zP. So 13.113.z, and  91.76713.1611.zx, or 13.91 .2/22/99 252y9912II. (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 49 2 69 3 88 4 99 5 33 a. Compute the sample variance, s, of the number of days it takes to sell a house. Show your work.(3)b. Compute an 80% confidence interval for the mean time, , that it takes to sell a house.(3)Solution: a. Home x (Days) x2 1 49 2401 2 69 4761 3 88 7744 4 99 9801 5 33 1089 Total 338 25796. b. From the problem statement 20.. From Table 3 of the syllabus supplement, if the population variance is unknown  x t sx2 and 533.1410.12ttn.1392.1251441.2758.736nssx. So  61.186.671372.12533.16.67  or 48.99 to 86.21.2 6.675338nxx 46.6752579612222nxnxs 8.736 or 1441.27s.2/22/99 252y9912III. 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 48 days. a. State the Hypotheses that you are testing. (2)b. Using the data from the previous problem (page 2.), test the hypotheses (99% 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 99% 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. 48:H48:H10  747.3,01.,41,48401.10ttnDFnFrom the previous page: 6.67x and 1392.1251441.2758.736nssx.b. (i) Test Ratio: 6146.11392.12486.670xsxt. This is in the ‘accept’ regionbelow 3.747, so do not reject H0. (ii) Critical Value: Since this is a one-sided test, xcvstx0  49.45501392.12747.348  or 95.49. This means that we reject H0 if the sample mean is above 95.49. since 6.67xis belowthis critical value, do not reject H0. (iii) Confidence Interval: Since this is a one-sided test, xstx  49.456.671392.12747.36.67 or 11.22. This does not contradict 48:H0, because any mean in the range 22.11 to 48 satisfies both statements, so do not reject H0.c. From the t table t= 1.6146 is smaller than  132.2405.tbut is larger than  533.1410.t, so that, forthis 1-sided test, we can say 05.10.  pvalue.d. From page 1 of the Syllabus Supplement:    n s n s 1 122222122 .41 nDF and01.. Since 005.2 and 995.21 , look up  8603.1442005. and3 2070.042995.. So    2995.222005.211snsn  or      2070.08.73648603.148.73642 or68.1423733.1982. Finally, taking square roots, 32.119083.14 .2/22/99 252y99122. 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: 7134 . (3)b. Test the hypotheses that the median is at most 33 at the  10% level. (5)c. If we have a sample of 350 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 350 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 3rd number from the end. If 9nand 3k, we find from the binomial table (with 5.p),  1211  kxP    82032.08984.21221  xP.    72  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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