Conditional Distribution The multinomial distribution is also preserved when some of the counting variables are observed. probabilities, provided none of the category probabilities is too small is a set of k counts: the number of trials that result in an outcome The multinomial probability distribution is a probability model for (o1 - 5×0.1)2/(5 × 0.1) It then plots this value in a histogram df.toString() + ' degrees of freedom should give a good approximation to the ' + by their standard errors (under the null hypothesis), which leads us to
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