Mean and Standard Deviation of Binomial Distribution Calculator

Binomial Distribution can be defined as the probability distribution of number of successes in an experiment which is run multiple times. For example a coin is flipped 100 times. Here probability of getting head (p) is 0.5. Sample size (n) is 100.

The mean of the binomial distribution is calculated as:

μ_{x} = n*p

μ_{x} = 100*0.5

The standard deviation of the binomial distribution is calculated as:

σ_{x} = \sqrt{n*p*(1−p)}

σ_{x} = \sqrt{100*0.5*(1−0.5)}

Enter values of sample size and population proportion of success in the calculator below for calculating mean and standard deviation for binomial distribution.

Solution

μ_{x} = 50 σ_{x} = 5.0000

Step by Step Calculation

μ_{x} = n*p

μ_{x} = 100*0.5

μ_{x} = 50

σ_{x} = \sqrt{n*p*(1−p)}

σ_{x} = \sqrt{100*0.5*(1-0.5)}

σ_{x} = 5.0000

Sample size (n) can't be less than or equal to 0. It must be a whole number. Population proportion (p) must lie between 0 and 1.
Spread the Word!
Share