function snanvariancetk( N, correction, x, stride ) {
	var S2;
	var ix;
	var nc;
	var S;
	var v;
	var n;
	var i;

	if ( N <= 0 ) {
		return NaN;
	}
	if ( N === 1 || stride === 0 ) {
		v = x[ 0 ];
		if ( v === v && N-correction > 0.0 ) {
			return 0.0;
		}
		return NaN;
	}
	if ( stride < 0 ) {
		ix = (1-N) * stride;
	} else {
		ix = 0;
	}
	S2 = 0.0;
	S = 0.0;
	n = 0;
	for ( i = 0; i < N; i++ ) {
		v = x[ ix ];
		if ( v === v ) {
			S2 = float64ToFloat32( S2 + float64ToFloat32( v*v ) );
			S = float64ToFloat32( S + v );
			n += 1;
		}
		ix += stride;
	}
	nc = n - correction;
	if ( nc <= 0.0 ) {
		return NaN;
	}
	return float64ToFloat32( float64ToFloat32(S2 - float64ToFloat32(float64ToFloat32(S/n)*S)) / nc ); // eslint-disable-line max-len
}
Computes the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.

@param {PositiveInteger} N - number of indexed elements
@param {number} correction - degrees of freedom adjustment
@param {Float32Array} x - input array
@param {integer} stride - stride length
@returns {number} variance

@example
var Float32Array = require( '@stdlib/array/float32' );

var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
var N = x.length;

var v = snanvariancetk( N, 1, x, 1 );
// returns ~4.3333