WEEK4_DQ - with a known average rate and independently of...

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In probability theory and statistics , the binomial distribution is the discrete probability distribution of the number of successes in a sequence of n independent yes/no experiments, each of which yields success with probability p . Such a success/failure experiment is also called a Bernoulli experiment or Bernoulli trial ; when n = 1, the binomial distribution is a Bernoulli distribution . The Binomial distribution is an n times repeated Bernoulli trial . The binomial distribution is the basis for the popular binomial test of statistical significance . http://en.wikipedia.org/wiki/Binomial_distribution In probability theory and statistics , the Poisson distribution (pronounced [pwas ] ɔ̃ ) (or Poisson law of small numbers [1] ) is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time and/or space if these events occur
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Unformatted text preview: with a known average rate and independently of the time since the last event. (The Poisson distribution can also be used for the number of events in other specified intervals such as distance, area or volume.) http://en.wikipedia.org/wiki/Poisson_distribution In probability theory and statistics , the geometric distribution is either of two discrete probability distributions : The probability distribution of the number X of Bernoulli trials needed to get one success, supported on the set { 1, 2, 3, . ..} The probability distribution of the number Y = X 1 of failures before the first success, supported on the set { 0, 1, 2, 3, . .. } Which of these one calls "the" geometric distribution is a matter of convention and convenience. http://en.wikipedia.org/wiki/Geometric_distribution...
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This note was uploaded on 10/19/2011 for the course ACCT 212 taught by Professor Schmith during the Summer '11 term at DeVry NJ.

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