Business Statistics by Geis

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Source Brink’s Inc. v. 2d 700 (2d Cir. 1983). For a debate on the validity of the statistical inference, see W. Fairley and J. Glen, “A Question of Theft,” in Statistics and the Law 221 (M. DeGroot, S. Fienberg, and J. , 1986) (with comment by B. Levin and rejoinder by Fairley and Glen). Notes Theft from parking meter collections has been a persistent problem for New York City. 1. Parking meter collection data (revenue in dollars) W E L L S F A R G O B R I N K S C D C 1 5/77 2 6/77 3 7/77 4 8/77 5 9/77 6 10/77 7 11/77 8 12/77 9 1/78 10 2/78 11 3/78 12 4/78 Totals #COLS INCL 1-A 21 22 20 23 21 20 19 21 20 14 23 24 248 TOTAL INCL 1-A 2,231,006 1,898,423 1,474,785 1,626,035 1,516,329 1,516,968 1,512,424 1,527,011 1,076,158 798,341 1,609,606 1,253,164 18,040,250 AVG/Col INCL 1-A 106,238 86,291 73,739 70,697 72,206 75,848 79,601 72,714 53,807 57,024 69,982 52,215 72,743 Total 1-A 6,729 5,751 6,711 7,069 7,134 5,954 5,447 6,558 5,222 4,150 6,765 6,681 74,171 Avg Col 1-A 747 821 745 783 792 744 680 728 746 691 731 835 757 #Cols 1-A 9 7 9 9 9 8 8 9 7 6 9 8 98 13 5/78 14 6/78 15 7/78 16 8/78 17 9/78 18 10/78 19 11/78 20 12/78 21 1/79 22 2/79 23 3/79 24 4/79 25 5/79 26 6/79 27 7/79 28 8/79 29 9/79 30 10/79 31 11/79 32 12/79 33 1/80 34 2/80 35 3/80 36 4/80 Totals 22 22 20 23 20 21 19 20 22 16 22 21 22 21 21 23 19 22 19 20 22 19 21 22 499 1,337,159 1,532,310 1,318,521 1,502,054 1,393,093 1,564,212 1,474,861 1,554,116 1,572,284 1,129,834 1,781,470 1,639,206 1,732,172 1,685,938 1,644,110 1,746,709 1,582,926 1,853,363 1,754,081 1,692,441 1,801,019 1,702,335 1,678,305 1,527,744 38,240,763 60,779 69,673 65,926 65,306 69,654 74,486 77,624 77,705 71,467 70,614 80,975 79,009 79,644 80,282 78,290 75,943 83,311 84,243 92,320 84,622 81,864 89,596 79,919 69,442 76,635 7,016 7,440 6,264 7,337 7,271 6,694 5,795 7,105 6,613 5,258 7,664 6,716 7,614 7,652 7,513 7,862 6,543 6,855 7,182 6,830 6,552 7,318 6,679 6,637 166,410 779 826 783 815 807 743 724 789 734 657 851 839 846 850 834 873 817 761 798 758 819 813 834 737 796 9 9 8 9 9 9 8 9 9 8 9 8 9 9 9 9 8 9 9 9 8 9 8 9 209 37 5/80 38 6/80 39 7/80 40 8/80 41 9/80 42 10/80 43 11/80 44 12/80 45 1/81 46 2/81 47 3/81 Totals 21 21 22 21 21 22 17 22 21 18 22 228 1,980,876 1,941,688 1,889,106 1,741,465 1,832,510 1,926,233 1,670,136 1,948,290 1,627,594 1,655,290 1,844,604 20,057,792 94,327 92,461 85,868 82,926 87,262 87,556 98,243 88,558 77,504 91,960 83,845 87,973 7,912 7,314 7,803 8,126 7,489 7,986 6,020 6,442 7,937 6,685 7,470 81,199 879 914 867 902 832 887 860 920 881 835 830 873 9 8 9 9 9 9 7 7 9 8 9 93 9 10 1.

1 Estimated effect of execution risk on criminal homicide rate . . . . . . . . . . . . . 2a Variable codes for 100 death-eligible cases . . . . . 2b Logistic regression results for the Procedural Reform Study data . . . . . . . . . . . . . 2c 100 death-eligible cases from the middle range . . . . 3 Tax coefficients in probit regression of teenage smoking . 1 Number of damaged O-rings (Row B) by ambient temperature in degrees Fahrenheit (Row A) at launch for 24 shuttle flights prior to Challenger flight 51-L .

2a Variable codes for 100 death-eligible cases . . . . . 2b Logistic regression results for the Procedural Reform Study data . . . . . . . . . . . . . 2c 100 death-eligible cases from the middle range . . . . 3 Tax coefficients in probit regression of teenage smoking . 1 Number of damaged O-rings (Row B) by ambient temperature in degrees Fahrenheit (Row A) at launch for 24 shuttle flights prior to Challenger flight 51-L . . . . 1a Death sentences and predicted probability of death—construction sample .

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