poisscdf

poisscdf - is two probability = 1-poisscdf(4,2 probability...

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poisscdf Poisson cumulative distribution function Syntax P = poisscdf(X,lambda) Description P = poisscdf(X,lambda) computes the Poisson cdf at each of the values in X using the corresponding mean parameters in lambda . X and lambda can be vectors, matrices, or multidimensional arrays that have the same size. A scalar input is expanded to a constant array with the same dimensions as the other input. The parameters in lambda must be positive. The Poisson cdf is Examples For example, consider a Quality Assurance department that performs random tests of individual hard disks. Their policy is to shut down the manufacturing process if an inspector finds more than four bad sectors on a disk. What is the probability of shutting down the process if the mean number of bad sectors (
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Unformatted text preview: ) is two? probability = 1-poisscdf(4,2) probability = 0.0527 About 5% of the time, a normally functioning manufacturing process produces more than four flaws on a hard disk. Suppose the average number of flaws ( ) increases to four. What is the probability of finding fewer than five flaws on a hard drive? probability = poisscdf(4,4) probability = 0.6288 This means that this faulty manufacturing process continues to operate after this first inspection almost 63% of the time. See Also cdf , poisspdf , poissinv , poisstat , poissfit , poissrnd Poisson Distribution Provide feedback about this page PointSet property (qrandstream) poissfit © 1984-2009 The MathWorks, Inc. Terms of Use Patents Trademarks Acknowledgments...
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This note was uploaded on 11/29/2010 for the course ECE 302 taught by Professor Gelfand during the Spring '08 term at Purdue.

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poisscdf - is two probability = 1-poisscdf(4,2 probability...

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