Binomial Distribution

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Binomial Distribution

The distribution of successes and failures of a certain number of Bernoulli trials. A Bernoulli trial is a test in which there are precisely two random outcomes: success and failure. For example, if one is testing whether flipping a coin will result in heads, the two outcomes are yes (success) or no (failure). A binomial distribution, then, would be the number of heads compared to the number of tails in a given number of flips. It is also called a Bernoulli distribution.
References in periodicals archive ?
Deahl, Tables of the Negative Binomial Probability Distribution for Small Values of p: A Supplement to the Tables of Williamson and Bretherton, Technical report, Library of the University of Wyoming, Laramie, WY (1970).
Fortunately, the Pearson's table has been converted into Tables of the Binomial Probability Distribution by National Bureau of Standards (1950) for sample size (N) equal to 1, 2, ..., 49.
Third, since the variable under observation is binomial (an event being won at home or won on the road), the binomial probability is known (.5426), and the events are independent of each other, a binomial probability distribution is more appropriate than a chi-square goodness of fit (Hays, 1988).