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Chesapeake Regional Case Study

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Table 1: Binomial distribution — probability mass function p x n=1 n=2 0 1 0 1 2 0 1 2 3 0 1 2 3 4 0 1 2 3 4 5 0 1 2 3 4 5 6 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 8 0.01 .9900 .0100 .9801 .0198 .0001 .9703 .0294 .0003 .9606 .0388 .0006 0.05 .9500 .0500 .9025 .0950 .0025 .8574 .1354 .0071 .0001 .8145 .1715 .0135 .0005 .7738 .2036 .0214 .0011 0.10 .9000 .1000 .8100 .1800 .0100 .7290 .2430 .0270 .0010 .6561 .2916 .0486 .0036 .0001 .5905 .3281 .0729 .0081 .0005 .5314 .3543 .0984 .0146 .0012 .0001 .4783 .3720 .1240 .0230 .0026 .0002 0.15 .8500 .1500 .7225 .2550 .0225 .6141 .3251 .0574 .0034 .5220 .3685 .0975 .0115 .0005 .4437 .3915 .1382 .0244 .0022 .0001 .3771 .3993 .1762 .0415 .0055 .0004 .3206 .3960 .2097 .0617 .0109 .0012 .0001 .2725 .3847 .2376 .0839 .0185 .0026 .0002 0.20 .8000 .2000 .6400 .3200 .0400 .5120 .3840 .0960 .0080 .4096 .4096 .1536 .0256 .0016 .3277 .4096 .2048 .0512 .0064 .0003 .2621 .3932 .2458 .0819 .0154 .0015 .0001 .2097 .3670 .2753 .1147 .0287 .0043 .0004 .1678 .3355 .2936 .1468 .0459 .0092 .0011 .0001 0.25 .7500 .2500 .5625 .3750 .0625 .4219 .4219 .1406 .0156 .3164 .4219 .2109 .0469 .0039 .2373 .3955 .2637 .0879 .0146 .0010 .1780 .3560 .2966 .1318 .0330 .0044 .0002 .1335 .3115 .3115 .1730 .0577 .0115 .0013 .0001 .1001 .2670 .3115 .2076 .0865 .0231 .0038 .0004 0.30 .7000 .3000 .4900 .4200 .0900 .3430 .4410 .1890 .0270 .2401 .4116 .2646 .0756 .0081 .1681 .3602 .3087 .1323 .0284 .0024 .1176 .3025 .3241 .1852 .0595 .0102 .0007 .0824 .2471 .3177 .2269 .0972 .0250 .0036 .0002 .0576 .1977 .2965 .2541 .1361 .0467 .0100 .0012 .0001 0.70 0.35 .6500 .3500 .4225 .4550 .1225 .2746 .4436 .2389 .0429 .1785 .3845 .3105 .1115 .0150 .1160 .3124 .3364 .1811 .0488 .0053 .0754 .2437 .3280 .2355 .0951 .0205 .0018 .0490 .1848 .2985 .2679 .1442 .0466 .0084 .0006 .0319 .1373 .2587 .2786 .1875 .0808 .0217 .0033 .0002 0.65 0.40 .6000 .4000 .3600 .4800 .1600 .2160 .4320 .2880

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