# A to Z of Excel Functions: The BINOM.INV Function

6 February 2017

*Welcome back to our regular A to Z of Excel Functions blog. Today we look at the BINOM.INV function. *

** **

**The BINOM.INV function**

In probability theory and statistics, the binomial distribution with parameters **n** and **p** is the discrete probability distribution of the number of successes in a sequence of **n** independent success / failure experiments, each of which yields success with probability **p**. For the record, a success / failure experiment is also called a Bernoulli experiment or Bernoulli trial. The binomial distribution is frequently used to model the number of successes in a sample of size **n** drawn with replacement from a population of size **N**.

Bored of these functions yet? This function returns the smallest value for which the cumulative binomial distribution which is greater than or equal to a criterion value. This might sound like gobbledygook but it is useful for creating independent simulations analysis in Excel (please see Simulation Stimulation for more information).

The **BINOM.INV **function employs the following syntax to operate:

**BINOM.INV(trials, probability_s, alpha)**

The **BINOM.INV** function has the following arguments:

**trials:**this is required and represents the number of Bernoulli trials**probability_s:**this is also required. This is the probability of a success on each trial**alpha:**again, required. This represents the aforementioned criterion value.

It should be further noted that:

- if any argument is nonnumeric,
**BINOM.INV**returns the*#VALUE!*error value - If
**trials**is not an integer, it is truncated - If
**trials**< 0,**BINOM.INV**returns the*#NUM!*error value - If
**probability_s**is < 0 or**probability_s**> 1,**BINOM.INV**returns the*#NUM!*error value - If
**alpha**< 0 or**alpha**> 1,**BINOM.INV**returns the*#NUM!*error value.

Please see my example below:

*We’ll continue our A to Z of Excel Functions soon. Keep checking back – there’s a new blog post every other business day.*