﻿ BINOMDIST function

BINOMDIST function

Returns the individual term binomial distribution probability. Use BINOMDIST in problems with a fixed number of tests or trials, when the outcomes of any trial are only success or failure, when trials are independent, and when the probability of success is constant throughout the experiment. For example, BINOMDIST can calculate the probability that two of the next three babies born are male.


For more information about the new function, see BINOM.DIST function.



The BINOMDIST function syntax has the following arguments:

  • Number_s     Required. The number of successes in trials.

  • Trials     Required. The number of independent trials.

  • Probability_s     Required. The probability of success on each trial.

  • Cumulative     Required. A logical value that determines the form of the function. If cumulative is TRUE, then BINOMDIST returns the cumulative distribution function, which is the probability that there are at most number_s successes; if FALSE, it returns the probability mass function, which is the probability that there are number_s successes.


  • Number_s and trials are truncated to integers.

  • If number_s, trials, or probability_s is nonnumeric, BINOMDIST returns the #VALUE! error value.

  • If number_s < 0 or number_s > trials, BINOMDIST returns the #NUM! error value.

  • If probability_s < 0 or probability_s > 1, BINOMDIST returns the #NUM! error value.

  • If x = number_s, n = trials, and p = probability_s, then the binomial probability mass function is:




    is COMBIN(n,x).

  • If x = number_s, n = trials, and p = probability_s, then the cumulative binomial distribution is:




How do I copy an example?

  1. Select the example in this article.

    Important   Do not select the row or column headers.

    selecting an example from help

    Selecting an example from Help

  2. Press CTRL+C.

  3. In Excel, create a blank workbook or worksheet.
















Number of successes in trials


Number of independent trials


Probability of success on each trial


Description (Result)


Probability of exactly 6 of 10 trials being successful (0.205078)



Was this information helpful?

Yes No

How can we improve it?

255 characters remaining


Thank you for your feedback!

Support resources

Change language