# NEGBINOMDIST

### Definition of NEGBINOMDIST

Calculates the probability of drawing a certain number of failures before a certain number of successes given a probability of success in independent trials.

### Sample Usage

`NEGBINOMDIST(4,2,0.1)`

`NEGBINOMDIST(A2,A3,A4)`

### Syntax

`NEGBINOMDIST(num_failures, num_successes, prob_success)`

• `num_failures` - The number of failures to model.

• `num_successes` - The number of successes to model.

• `prob_success` - The probability of success in any given trial.

### Notes

• `NEGBINOMDIST` models the negative binomial distribution, which is related to the binomial distribution except that the number of trials is varaible whereas the number of successes is fixed.

`WEIBULL`: Returns the value of the Weibull distribution function (or Weibull cumulative distribution function) for a specified shape and scale.

`POISSON`: Returns the value of the Poisson distribution function (or Poisson cumulative distribution function) for a specified value and mean.

`NORMSINV`: Returns the value of the inverse standard normal distribution function for a specified value.

`NORMSDIST`: Returns the value of the standard normal cumulative distribution function for a specified value.

`NORMINV`: Returns the value of the inverse normal distribution function for a specified value, mean, and standard deviation.

`NORMDIST`: Returns the value of the normal distribution function (or normal cumulative distribution function) for a specified value, mean, and standard deviation.

`LOGNORMDIST`: Returns the value of the log-normal cumulative distribution with given mean and standard deviation at a specified value.

`LOGINV`: Returns the value of the inverse log-normal cumulative distribution with given mean and standard deviation at a specified value.

`HYPGEOMDIST`: Calculates the probability of drawing a certain number of successes in a certain number of tries given a population of a certain size containing a certain number of successes, without replacement of draws.

`EXPONDIST`: Returns the value of the exponential distribution function with a specified lambda at a specified value.

`BINOMDIST`: Calculates the probability of drawing a certain number of successes (or a maximum number of successes) in a certain number of tries given a population of a certain size containing a certain number of successes, with replacement of draws.

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