Standard Deviation

Binomial distribution standard deviation.

The standard deviation for a binomial random variable is

Standard deviation for a binomial distribution.

where n is the number of trials and p is the success probability.

Installation

npm install @stdlib/stats-base-dists-binomial-stdev

Usage

var stdev = require( '@stdlib/stats-base-dists-binomial-stdev' );

stdev( n, p )

Returns the standard deviation of a binomial distribution with number of trials n and success probability p.

var v = stdev( 20, 0.1 );
// returns ~1.342

v = stdev( 50, 0.5 );
// returns ~3.536

If provided NaN as any argument, the function returns NaN.

var v = stdev( NaN, 0.5 );
// returns NaN

v = stdev( 20, NaN );
// returns NaN

If provided a number of trials n which is not a nonnegative integer, the function returns NaN.

var v = stdev( 1.5, 0.5 );
// returns NaN

v = stdev( -2.0, 0.5 );
// returns NaN

If provided a success probability p outside of [0,1], the function returns NaN.

var v = stdev( 20, -1.0 );
// returns NaN

v = stdev( 20, 1.5 );
// returns NaN

Examples

var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var stdev = require( '@stdlib/stats-base-dists-binomial-stdev' );

var v;
var i;
var n;
var p;

for ( i = 0; i < 10; i++ ) {
    n = round( randu() * 100.0 );
    p = randu();
    v = stdev( n, p );
    console.log( 'n: %d, p: %d, SD(X;n,p): %d', n, p.toFixed( 4 ), v.toFixed( 4 ) );
}

Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

License

See LICENSE.

@stdlib/stats-base-dists-binomial-stdev

Package Exports

Readme