Discrete Probability Distribution Formula


The formals may be used for all the discrete probability distributions.

The mean or mu is:
The mean for a discrete probability distribution is $latex \mu = \sum{x*P(x)}$

The standard deviation or sigma is:
The discrete probability distribution standard deviation is $latex \sigma^2 = \sum{x^2*P(x)}-\mu^2$

The variance or sigma squared is:
The variance for the discrete probability distrubtion is \sigma = \sqrt{\sum{x^2*P(x)}-\mu^2}

This information is important help us interpret the data.

One example is when we question data, we might use Range Rule of Thumb Formula to determine if an event seems highly unlikely.

Last Modified on February 18, 2013 by JoeStat

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