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| Probability Mass Function | The binomial distribution is used when there are exactly two mutually exclusive outcomes of a trial. These outcomes are appropriately labeled "success" and "failure". The binomial distribution is used to obtain the probability of observing x successes in N trials, with the probability of success on a single trial denoted by p. The binomial distribution assumes that p is fixed for all trials.The formula for the binomial probability mass function is where The following is the plot of the binomial probability density function for four values of p and n = 100. | ||||||||||||||
| Cumulative Distribution Function | The formula for the binomial cumulative probability function is The following is the plot of the binomial cumulative distribution function with the same values of p as the pdf plots above. | ||||||||||||||
| Percent Point Function | The binomial percent point function does not exist in simple closed form. It is computed numerically. Note that because this is a discrete distribution that is only defined for integer values of x, the percent point function is not smooth in the way the percent point function typically is for a continuous distribution.The following is the plot of the binomial percent point function with the same values of p as the pdf plots above. | ||||||||||||||
| Common Statistics |
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| Comments | The binomial distribution is probably the most commonly used discrete distribution. | ||||||||||||||
| Parameter Estimation | The maximum likelihood estimator of p (n is fixed) is | ||||||||||||||
| Software | Most general purpose statistical software programs support at least some of the probability functions for the binomial distribution. | ||||||||||||||
Gertrude Cox : Gertrude Mary Cox (of Experimental Statistics at North Carolina State University. She was later appointed director of both the Institute of Statistics of 1900 - 1978) was an influential American statistician and founder of the department the Consolidated University of North Carolina and the Statistics Research Division of North Carolina State University. Her most important and influential research dealt with experimental design; she wrote an important book on the subject with W. G. Cochran. In 1949 Cox became the first female elected into the International Statistical Institute and in 1956 she was president of the American Statistical Association. From 1931 to 1933 Cox undertook graduate studies in statistics at the University of California at Berkeley , then returned to Iowa State College as assistant in the Statistical Laboratory. Here she worked on the design of experiments . In 1939 she was appointed assistant professor of statisti...
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