Difference between revisions of "Binomial distribution"

Revision as of 19:18, 27 August 2020

Binomial distribution

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-The binomial distribution  is used where there are two outcomes and the probability of an outcome remains constant regardless of the # times the experiment is repeated ([[Independent events|Independent events]]:
+Binomial distribution
-<math>P(r) = {n \choose r} p^r (1-p)^{n-r}</math>
-An elementary example is this: roll a standard die ten times and count the number of sixes. The distribution of this random number is a binomial distribution with n = 10 and p = 1/6. As another example, flip a coin three times and count the number of heads. The distribution of this random number is a binomial distribution with n = 3 and p = 1/2.
-Try out a bit with /static/files/MBI/Module%207/binomial.xlsx
-Part of [[M7-Quantitative Decision Methods-S2 - Probability distributions|M7-Quantitative Decision Methods-S2 - Probability distributions]]
-See also:http://en.wikipedia.org/wiki/Binomial_distribution
 [[Category:mbi]]