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Ch7_learning curve tables_Chase

Ch7_learning curve tables_Chase - Ii x'1 i I i 1 $1 I.5...

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Unformatted text preview: Ii x '1 i I) i 1 $1 I .5 Unit Improvement Factor Improvement Curves: Unit 60% 65% 70% 75% 80% 85% 90% 95% “we °f ”n" WM“ 1 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 2 .6000 .6500 .7000 .7500 .8000 .8500 .9000 .9500 3 .4450 .5052 .5682 .6338 .7021 .7729 .8462 .9219 4 .3600 .4225 .4900 .5625 .6400 .7225 .8100 .9025 5 .3054 .3678 .4368 .5127 .5956 .6857 .7830 .8877 6 .2670 .3284 .3977 .4754 .5617 .6570 .7616 .8758 7 .2383 .2984 .3674 .4459 .5345 .6337 .7439 .8659 8 .2160 .2746 .3430 .4219 .5120 .6141 .7290 .8574 9 .1980 .2552 .3228 .4017 .4930 .5974 .7161 .8499 10 .1832 .2391 .3058 .3846 .4765 .5828 .7047 .8433 12 .1602 .2135 .2784 .3565 .4493 .5584 .6854 .8320 1 14 .1430 .1940 .2572 .3344 .4276 .5386 .6696 .8226 16 .1290 .1785 .2401 .3164 .4096 .5220 .6561 .8145 18 .1188 .1659 .2260 .3013 .3944 .5078 .6445 .8074 20 .1099 .1554 .2141 .2884 .3812 .4954 .6342 .8012 22 .1025 .1465 .2038 .2772 .3697 .4844 .6251 .7955 24 .0961 .1387 .1949 .2674 .3595 .4747 .6169 .7904 25 .0933 .1353 .1908 .2629 .3548 .4701 .6131 .7880 30 .0815 .1208 .1737 .2437 .3346 .4505 .5963 .7775 35 .0728 .1097 .1605 .2286 .3184 .4345 .5825 .7687 40 .0660 .1010 .1498 .2163 .3050 .4211 .5708 .7611 45 .0605 .0939 .1410 .2060 .2936 .4096 .5607 .7545 50 .0560 .0879 .1336 .1972 .2838 .3996 .5518 .7486 60 .0489 .0785 .1216 .1828 .2676 .3829 .5367 .7386 70 .0437 .0713 .1 123 .1715 .2547 .3693 .5243 .7302 80 .0396 .0657 .1049 .1622 .2440 .3579 .5137 .7231 90 .0363 .0610 .0987 .1545 .2349 .3482 .5046 .7168 100 .0336 .0572 .0935 .1479 .2271 .3397 .4966 .7112 120 .0294 .0510 .0851 .1371 .2141 .3255 .4830 .7017 140 .0262 .0464 .0786 .1287 .2038 .3139 .4718 .6937 160 .0237 .0427 .0734 .1217 .1952 .3042 .4623 .6869 180 .0218 .0397 .0691 .1159 .1879 .2959 .4541 .6809 200 .0201 .0371 .0655 .1 109 .1816 .2887 .4469 .6757 250 .0171 .0323 .0584 .1011 .1691 .2740 .4320 .6646 300 .0149 .0289 .0531 .0937 .1594 .2625 .4202 .6557 350 .0133 .0262 .0491 .0879 .1517 .2532 .4105 .6482 400 .0121 .0241 .0458 .0832 .1453 .2454 .4022 .6419 450 .011 1 .0224 .0431 .0792 .1399 .2387 .3951 .6363 500 .0103 .0210 .0408 .0758 .1352 .2329 .3888 .6314 600 .0090 .0188 .0372 .0703 .1275 .2232 .3782 .6229 700 .0080 .0171 .0344 .0659 .1214 .2152 .3694 .6158 800 .0073 .0157 .0321 .0624 .1 163 .2086 .3620 .6098 900 .0067 .0146 .0302 .0594 .1 1 19 .2029 .3556 .6045 1,000 .0062 .0137 .0286 .0569 .1082 .1980 .3499 .5998 1,200 .0054 .0122 .0260 .0527 .1020 .1897 .3404 .5918 1,400 .0048 .011 1 .0240 .0495 .0971 .1830 .3325 .5850 1,600 .0044 .0102 .0225 .0468 .0930 .1773 .3258 .5793 1,800 .0040 .0095 .021 1 .0446 .0895 .1725 .3200 .5743 2,000 .0037 .0089 .0200 .0427 .0866 .1683 .3149 .5698 2,500 .0031 .0077 .0178 .0389 .0806 .1597 .3044 .5605 3,000 .0027 .0069 .0162 .0360 . .0760 .1530 .2961 .5530 Cumulative Improvement F‘actor J". I1 111 1 1 .7711 I ['11 ,- . nit 60% 65% 70% 75% 80% 85% 90% 95% Improyrement Curves: -1 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 Table °fcummatwe :2 1.600 1.650 1.700 1.750 1.800 1.850 1.900 1.950 WM 3 2.045 2.155 2.268 2.384 2.502 2.623 2.746 2.872 .- 4 2.405 2.578 2.758 2.946 3.142 3.345 3.556 3.774 -5 2.710 2.946 3.195 3.459 3.738 4.031 4.339 4.662 =6 2.977 3.274 3.593 3.934 4.299 4.688 5.101 5.538 7 3.216 3.572 3.960 4.380 4.834 5.322 5.845 6.404 8 3.432 3.847 4.303 4.802 5.346 5.936 6.574 7.261 3.630 4.102 4.626 5.204 5.839 6.533 7.290 8.111 3.813 4.341 4.931 5.589 6.315 7.116 7.994 8.955 4.144 4.780 5.501 6.315 7.227 8.244 9.374 10.62 4.438 5.177 6.026 6.994 8.092 9.331 10.72 12.27 4.704 5.541 6.514 7.635 8.920 10.38 12.04 13.91 4.946 5.879 6.972 8.245 9.716 11.41 13.33 15.52 5.171 6.195 7.407 8.828 10.48 12.40 14.61 17.13 5.379 6.492 7.819 9.388 11.23 13.38 15.86 18.72 5.574 6.773 8.213 9.928 11.95 14.33 17.10 20.31 5.668 6.909 8.404 10.19 12.31 14.80 17.71 21.10 6.097 7.540 9.305 11.45 14.02 17.09 20.73 25.00 6.478 8.109 10.13 12.72 15.64 19.29 23.67 28.86 6.821 8.631 10.90 13.72 17.19 21.43 26.54 32.68 7.134 9.114 11.62 14.77 18.68 23.50 29.37 36.47 7.422 9.565 12.31 15.78 20.12 25.51 32.14 40.22 7.941 10.39 13.57 17.67 22.87 29.41 37.57 47.65 8.401 11.13 14.74 19.43 25.47 33.17 42.87 54.99 8.814 11.82 15.82 21.09 27.96 36.80 48.05 62.25 9.191 12.45 16.83 22.67 30.35 40.32 53.14 69.45 9.539 13.03 17.79 24.18 32.65 43.75 58.14 76.59 10.16 14.11 19.57 27.02 37.05 50.39 67.93 90.71 10.72 15.08 21.20 29.67 41.22 56.78 77.46 104.7 11.21 15.97 22.72 32.17 45.20 62.95 86.80 118.5 11.67 16.79 24.14 34.54 49.03 68.95 95.96 132.1 12.09 17.55 25.48 - 36.80 52.72 74.79 105.0 145.7 13.01 19.28 28.56 42.05 61.47 88.83 126.9 179.2 13.81 20.81 31.34 46.94 69.66 102.2 148.2 212.2 14.51 22.18 33.89 51.48 77.43 115.1 169.0 244.8 15.14 23.44 36.26 55.75 84.85 127.6 189.3 277.0 15.72 24.60 38.48 59.80 91.97 139.7 209.2 309.0 16.26 25.68 40.58 63.68 98.85 151.5 228.8 340.6 17.21 27.67 44.47 70.97 112.0 174.2 267.1 403.3 18.06 29.45 48.04 77.77 124.4 196.1 304.5 465.3 18.82 31.09 51.36 84.18 136.3 217.3 341.0 526.5 111 19.51 32.60 54.46 90.26 147.7 237.9 376.9 587.2 :11: 20.15 31.01 57.40 96.07 158.7 257.9 412.2 647.4 21.30 36.59 62.85 107.0 179.7 296.6 481.2 766.6 111 22.32 38.92 67.85 117.2 199.6 333.9 548.4 884.2 .111 23.23 41.04 72.49 126.8 218.6 369.9 614.2 1001. 00 24.06 43.00 76.85 135.9 236.8 404.9 678.8 1116. {m 24.83 44.84 80.96 144.7 254.4 438.9 742.3 1230. 3.00 26.53 48.97 90.39 165.0 296.1 520.8 897.0 1513. 1|! 27.99 52.62 98.90 183.7 335.2 598.9 1047. 179]. ...
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