Excel BINOM.INV function

This post will guide you how to use the BINOM.INV function with syntax and examples in Microsoft excel.

Description

The Excel BINOM.INV function returns the inverse of the Cumulative Binomial Distribution that is greater than or equal to a criterion value. And this function will return the smallest value for which the cumulative binomial distribution.

The BINOM.INV function is a build-in function in Microsoft Excel and it is categorized as a Statistical Function.

The BINOM.INV function is available in Excel 2016, Excel 2013, Excel 2010, Excel 2011 for Mac.

Syntax

The syntax of the BINOM.INV function is as below:

=BINOM.INV(trials, probability_s, alpha)

Where the BINOM.INV function arguments are:

  • Trials – This is a required argument.  The number of Bernoulli trials.
  • probability_s – This is a required argument.  The probability of success for each trial.
  • Alpha – This is a required argument. The criterion value. The value must be 0 or 1.

Note:

  • If any argument is non-numeric, the BINOM.INV function will return #VALUE! Error.
  • If trials argument is not integers and the BINOM.INV function will truncate it.
  • If trials argument is smaller than 0, the BINOM.INV function will return the #NUM! Error.
  • If probability_s is small than 0 or greater than 1, then the BINOM.INV function will return the #NUM! Error.
  • If alpha argument is smaller than 0 or greater than 1, then the BINOM.INV function will return the #NUM! Error.

Excel BINOM.INV Function Examples

The below examples will show you how to use Excel BINOM.INV Function to get the inverse of the Cumulative Binomial Distribution.

Example 1: to get the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value, using the following formula:

= BINOM.INV (5,0.6,0.55)

excel binom.inv examples1


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    The Excel BINOMDIST function returns the individual term binomial distribution probability. The syntax of the BINOMDIST function is as below:= BINOMDIST (number_s, trials, probability_s, cumulative).…
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