Poisson Distr - .992 4.2 .015 .078 .210 .395 .590 .753 .867...

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Poisson Cumulative Probabilities The rows of the table correspond to different values of λ (mean), and the columns correspond to different values ( k ) of the Poisson random variable x . The entries in the table give the cumulative probability = = = k J j x P k x P 0 ) ( ) ( k 0 1 2 3 4 5 6 7 8 9 2.2 .111 .355 .623 .819 .928 .975 .993 .998 1.00 0 1.000 2.4 .091 .308 .570 .779 .904 .964 .988 .997 .999 1.000 2.6 .074 .267 .518 .736 .877 .951 .983 .995 .999 1.000 2.8 .061 .231 .469 .692 .848 .935 .976 .992 .998 .999 3.0 .050 .199 .423 .647 .815 .916 .966 .988 .996 .999 3.2 .041 .171 .380 .603 .781 .895 .955 .983 .994 .998 3.4 .033 .147 .340 .558 .744 .871 .942 .977 .992 .997 3.6 .027 .126 .303 .515 .706 .844 .927 .969 .988 .996 3.8 .022 .107 .269 .473 .668 .816 .909 .960 .984 .994 4.0 .018 .092 .238 .433 .629 .785 .889 .949 .979
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Unformatted text preview: .992 4.2 .015 .078 .210 .395 .590 .753 .867 .936 .972 .989 4.4 .012 .066 .185 .359 .551 .720 .844 .921 .964 .985 4.6 .010 .056 .163 .326 .513 .686 .818 .905 .955 .980 4.8 .008 .048 .143 .294 .476 .651 .791 .887 .944 .975 5.0 .007 .040 .125 .265 .440 .616 .762 .867 .932 .968 5.2 .006 .034 .109 .238 .406 .581 .732 .845 .918 .960 5.4 .005 .029 .095 .213 .373 .546 .702 .822 .903 .951 5.6 .004 .024 .082 .191 .342 .512 .670 .797 .886 .941 5.8 .003 .021 .072 .170 .313 .478 .638 .771 .867 .929 6.0 .002 .017 .062 .151 .285 .446 .606 .744 .847 .916...
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This note was uploaded on 02/06/2012 for the course ECON 103 taught by Professor Gispy during the Spring '11 term at Prairie State College .

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