Reference > Fathom Operators, Functions, and Units > Distribution Functions > Binomial Distribution

Binomial Distribution

Think of this distribution in terms of coin flips. You have a certain number of coins, n, and a certain probability of getting heads, p. This distribution deals with the probability of getting x heads. The possibilities are 0 heads, 1 head, 2 heads, ..., n heads.

Instead of going from 0 to n, you can use the min and max parameters to go from min to max in intervals of (max - min)/n.

A plot of the cumulative distribution function when p = 0.45

binomialCumulative (x, n, p, min, max)

The binomial cumulative distribution function computes the cumulative probability, Pr(X ≤ x), where X is a random variable having a binomial distribution of n choices and the probability of success equal to p.

binomialProbability (x, n, p, min, max)

This probability function computes the probability that X = x, where X is a random variable chosen from the set of possible values.

binomialQuantile (c, n, p, min, max)

The binomial quantile function computes the value x, such that Pr(X ≤ x) = c.

Subsections
Binomial Distribution
Chi-Square Distribution
Exponential Distribution
F-Distribution
Geometric Distribution
Normal Distribution
Other Distributions

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