# Struct rand_distr::Hypergeometric[−][src]

``pub struct Hypergeometric { /* fields omitted */ }``
Expand description

The hypergeometric distribution `Hypergeometric(N, K, n)`.

This is the distribution of successes in samples of size `n` drawn without replacement from a population of size `N` containing `K` success states. It has the density function: `f(k) = binomial(K, k) * binomial(N-K, n-k) / binomial(N, n)`, where `binomial(a, b) = a! / (b! * (a - b)!)`.

The binomial distribution is the analogous distribution for sampling with replacement. It is a good approximation when the population size is much larger than the sample size.

## Example

``````use rand_distr::{Distribution, Hypergeometric};

let hypergeo = Hypergeometric::new(60, 24, 7).unwrap();
println!("{} is from a hypergeometric distribution", v);``````

## Implementations

Constructs a new `Hypergeometric` with the shape parameters `N = total_population_size`, `K = population_with_feature`, `n = sample_size`.

## Trait Implementations

Returns a copy of the value. Read more

Performs copy-assignment from `source`. Read more

Formats the value using the given formatter. Read more

Generate a random value of `T`, using `rng` as the source of randomness.

Create an iterator that generates random values of `T`, using `rng` as the source of randomness. Read more

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

## Blanket Implementations

Gets the `TypeId` of `self`. Read more

Immutably borrows from an owned value. Read more

Mutably borrows from an owned value. Read more

Performs the conversion.

Performs the conversion.

The resulting type after obtaining ownership.

Creates owned data from borrowed data, usually by cloning. Read more

🔬 This is a nightly-only experimental API. (`toowned_clone_into`)