MATH 226 - 10.31.07

MATH 226 - 10.31.07 - Poisson number of occurrences over a...

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MATH 226 – October 31, 2007 First notes: 2:27pm Know for test o How to plot distributions using Minitab o How to vary the parameters using Minitab o How to run simulations to find experimental distributions using Minitab o How to read and alter histograms using Minitab o How to create statistical summaries using Minitab o Distributions Discrete probability function [f(x) = P(X=x)] Continuous pdf f(x) P(a ≤ x ≤ b) = ∫ a b f(x)dx Cdf F(x) = P(X ≤ x) o Specific distributions Discrete Binomial – number of successes in n trials Negative binomial – number of trials until n successes
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Unformatted text preview: Poisson number of occurrences over a fixed interval Geometric how many trials it takes to get one success Continuous Normal Weibell like Erlang but more complicated Erlang time until nth success where average time to success stays the same Exponential time until first success Uniform distribution remains unchanged know formulae for f, EX, Var(x), expected value and variance of linear combinations error propagation formula uncertainty = 2...
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This note was uploaded on 04/07/2008 for the course MATH 226 taught by Professor Daepp during the Fall '07 term at Bucknell.

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