From: brad.barton on 3 Oct 2006 12:07 Berk Birand wrote: > * It doesn't have that many probability mass distributions. They got > Normal, Chi-square and a few others, but what happened to the Binomial > and the Poisson? I would especially expect them to have the cumulative > distribution functions for those. Also the cdf for the Normal > distribution is 'upper-tail' so to do P(X<x), I need to perform an extra > subtraction (1-P(X>x)). What is the reason for that, I don't understand. > Mr. Birand, I see from your other posts you're doing quite well exploring the 50G's capabilities. It gives us long-time users hope to see another potential convert working through the HP learning curve. As to this question above, Gilberto Urroz's 2 volume set on the HP-49G covers probability mass distributions as an exercise in Chapter 6 in Volume 1. Specifically he shares the programs for these discrete functions: Binomial Probability Distribution Function Binomial Cumulative Distribution Functinon Poisson Probability Distribution Poisson Distribution Function Hypergeometric Prob. Distr. Geometric Distr. Funct. And also these continuous functions: Gamma Distribution Gamma PDF Gamma CDF Beta PDF Beta CDF Exponential PDF Exponential CDF Weibull PDF Weibull CDF It's a bit tedious typing them all in, but once you've done it and assigned them all to their own statistics directory, you never have to do it again. Plus if you don't want to perform that extra subtraction for the Normal Distribution, just program it that way. BTW, I highly recommend Mr. Urroz's books. They are titled "Science and Engineering Mathematics with the HP 49G", come in 2 Volumes, and are available at Amazon, or maybe Half.com. Keep in mind that they were written with the 49G in mind, so a few of the keystrokes are slightly different (for example, you don't have to use LS to access the single quote character on the 49G+ or 50G, but you do on the 49). Also, the subject matter organization could be a bit better, but for the price, they are a treasure trove of useful information.
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