time-to-botec/js/node_modules/@stdlib/stats/base/dists/binomial/median
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Necessary in order to clearly see the squiggle hotwiring.
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Median

Binomial distribution median.

The median for a binomial random variable is

Median for a binomial distribution.

where n is the number of trials, p is the success probability, and [x] is the nearest integer function.

Usage

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

median( n, p )

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

var v = median( 20, 0.1 );
// returns 2

v = median( 50, 0.5 );
// returns 25

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

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

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

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

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

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

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

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

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

Examples

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

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

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