To find the variance of a hyper-geometric random variable in Example 2.3-4 we used the fact that
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Prove this result by making the change of variables k = x ˆ’ 2 and noting that
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ElX(X-1)] = NI(NI-1)(n)(n-1 ) N(N 1) nn(n-1) \n -2
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Related Book For
Probability and Statistical Inference
ISBN: 978-0321923271
9th edition
Authors: Robert V. Hogg, Elliot Tanis, Dale Zimmerman
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