### Transform > Probability Distributions > Negative Binomial

Calculates probabilities, cumulative probabilities, and inverse cumulative probabilities for a negative binomial distribution.

In general, the negative binomial functions accept an argument that is the probability of success p, a number of trials n, and the count of interest k, which is the number of failures that precede the ith success.

### Dialog box items

•Source Column:

Enter the column you want to evaluate.

•Target Column:

Enter a storage column for the generated values. Leave blank to have VisualStat automatically name the target column.

•Statistics:

Choose from the following options:

oProbability density: Choose to calculate the probability densities.

oCumulative probability: Choose to compute the cumulative probabilities.

oInverse cumulative probability: Choose to compute the inverse of the cumulative probabilities.

•Distribution: Select the distribution for the variable.

•Num of trials: Enter number of trials you want to define the negative binomial distribution.

•Prob of success: Enter number between 0 and 1 for the probability of success, which will be used to define the negative binomial distribution.

### Example

Example of using the probability density function (pdf)

Probability Distributions

Web Resource: Weisstein, Eric W., Wolfram MathWorld. | Probability and statistics EBook | Wikipedia