BINOM.DIST
Returns the individual term binomial distribution probability. Replaces the legacy BINOMDIST function.
BINOM.DIST(number_s, trials, probability_s, cumulative)Arguments
number_sThe number of successes in the trialstrialsThe number of independent trialsprobability_sThe probability of success on each trialcumulativeTRUE for the cumulative distribution, FALSE for the probability mass function
=BINOM.DIST(6, 10, 0.5, FALSE)Probability of exactly 6 successes in 10 fair coin flips
=BINOM.DIST(6, 10, 0.5, TRUE)Probability of at most 6 successes in 10 flips
=BINOM.DIST(0, 5, 0.1, FALSE)Probability of zero successes in 5 trials with p = 0.1
- •number_s and trials are truncated to integers
- •Returns #NUM! if number_s < 0 or > trials, or if probability_s is outside 0..1
- •Use BINOM.INV to find the smallest number_s for a target cumulative probability
- •Forgetting to set the cumulative argument correctly - TRUE returns the probability of number_s or fewer successes, while FALSE returns the probability of exactly number_s successes, and confusing the two produces a plausible-looking but wrong answer
- •Passing a number_s greater than trials, which returns a #NUM! error since you can't have more successes than the total number of trials
- •Passing a probability_s outside the 0 to 1 range, which returns a #NUM! error since it represents a genuine probability and must be a valid proportion
BINOM.INVPerforms roughly the inverse operation - given a target cumulative probability, finds the smallest number_s that reaches it.BINOM.DIST.RANGECalculates the probability of successes falling within a range, rather than BINOM.DIST's single exact or cumulative value.COMBINUsed internally in the binomial probability formula, since it counts the number of ways the successes could be arranged among the trials.What's the difference between cumulative TRUE and FALSE in BINOM.DIST?
TRUE gives the probability of getting number_s or fewer successes (a cumulative probability). FALSE gives the probability of getting exactly number_s successes (a single point probability) - these can be very different numbers.
Why does BINOM.DIST return a #NUM! error?
Either number_s is greater than trials (you can't have more successes than attempts), or probability_s is outside the valid 0 to 1 range.
What real-world situations use BINOM.DIST?
Anything involving a fixed number of independent yes/no trials with a constant success probability - like coin flips, pass/fail quality checks, or the number of customers who respond to an offer out of a fixed sample.
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