< Back
BINOM.DIST.RANGE function
Post
BINOM.DIST.RANGE function
This article describes the formula syntax and usage of the BINOM.DIST.RANGE function in Microsoft Excel.
Description Returns the probability of a trial result using a binomial distribution.
Syntax BINOM.DIST.RANGE(trials,probability_s,number_s,[number_s2]) The BINOM.DIST.RANGE function syntax has the following arguments.
This article describes the formula syntax and usage of the BINOM.DIST.RANGE function in Microsoft Excel.
Description Returns the probability of a trial result using a binomial distribution.
Syntax BINOM.DIST.RANGE(trials,probability_s,number_s,[number_s2]) The BINOM.DIST.RANGE function syntax has the following arguments.
- Trials Required. The number of independent trials. Must be greater than or equal to 0.
- Probability_s Required. The probability of success in each trial. Must be greater than or equal to 0 and less than or equal to 1.
- Number_s Required. The number of successes in trials. Must be greater than or equal to 0 and less than or equal to Trials.
- Number_s2 Optional. If provided, returns the probability that the number of successful trials will fall between Number_s and number_s2. Must be greater than or equal to Number_s and less than or equal to Trials.
- If any arguments are outside of their constraints, BINOM.DIST.RANGE returns the #NUM! error value.
- If any arguments are non-numeric values, BINOM.DIST.RANGE returns the #VALUE! error value.
- The following equation is used:
- In the equation above, N is Trials, p is Probability_s, s is Number_s, s2 is Number_s2, and k is the iteration variable.
- Numeric arguments are truncated to integers.
Formula | Description | Result |
=BINOM.DIST.RANGE(100,0.5,50) | Returns the binomial distribution based on the probability of 50 successes in 100 trials and a 80% probability of success (0.079, or 7.9%). | 0.079589237 |
=BINOM.DIST.RANGE(100,0.5,40,60) | Returns the binomial distribution based on the probability of between 40 and 60 successes (inclusive) in 100 trials and a 50% probability of success (0.964, or 96.4%). | 0.9647998 |