# Mean

Binomial distribution expected value.

The expected value for a binomial random variable is

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

## Usage

var mean = require( '@stdlib/math/base/dists/binomial/mean' );


#### mean( n, p )

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

var v = mean( 20, 0.1 );
// returns 2.0

v = mean( 50, 0.5 );
// returns 25.0


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

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

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


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

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

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


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

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

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


## Examples

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

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

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