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.

Help us by sharing:
Share on FacebookShare on Google+Tweet about this on TwitterShare on LinkedInPin on PinterestEmail this to someone

Last Modified on February 18, 2013 by JoeStat

Speak Your Mind