Statistics

There are many different types of probability distribution . But for this , we shall only concentrate on binomial distribution and binomial experiment . First , let 's discuss a binomial experiment . There are four requirements for a binomial experiment . First is that there must be predetermined number of tests or trials . Second is that the outcome of every trial is independent from each other , meaning each trial must no have an effect on the outcome of the other trials . Third there must only be two possible outcomes of each trial , e .g . 0 or 1

true or false , success or failure , etc . Last is that the probabilities of the two possible outcomes must stay constant for all the trials . The result of the binomial experiment yields a probability distribution known as binomial distribution . The Binomial Probability formula is where n is the number of trials ,

is the probability of true , and q is the probability of false for every trial . So we can say that the probability of having only 2 books available in the shelf for a maximum of 10 books for that shelf is only approximately 4 .39 . Reference

Calkins , K (2005 . The Binomial Distribution and Experiments . Retrieved December 28 , 2007 from http /www .andrews .edu calkins /math /webtexts /prod09 .htm

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