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What are the parameters of hypergeometrical distribution?
Hypergeometrical distribution in probability theory is a discrete probability distribution. In this distribution where population is assumed to be ‘N’ with exactly ‘K’ successes, it tries to find out the chances of ‘k’ successes for ‘n’ number of draws without replacement. Here, the result of each draw has to be either success or failure. In hypergeometrical test, the hypergeometrical distribution is used to point out which of the sub-populations are over rated and which of them are under rated in a particular sample. This test has practical applications like, understanding a customer base by a marketing group.
All these theories with various practical examples of their applications are explained by Hypergeometrical Distribution Parameters Assignment Help team. While explaining this distribution, their parameters have also been discussed in details. Its parameters are probability mass function, cumulative distribution function, mean, mode, variance, skewness, kurtosis, moment generating function and characteristic function. These are regarded as the numerical characteristics of the statistical model or the population itself.
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