chore: updated according to code review

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Author: 0PrashantYadav0

lib/node_modules/@stdlib/stats/base/dnanvariancech/README.md

@@ -269,9 +269,9 @@ double stdlib_strided_dnanvariancech( const CBLAS_INT N, const double correction
 Computes the [variance][variance] of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm and alternative indexing semantics.
 
 ```c
-const double x[] = { 1.0, -2.0, 2.0 };
+const double x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
 
-double v = stdlib_strided_dnanvariancech_ndarray( 3, 1.0, x, 1, 0 );
+double v = stdlib_strided_dnanvariancech_ndarray( 4, 1.0, x, 1, 0 );
 // returns ~4.3333
 ```
 

lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/types/index.d.ts

@@ -82,7 +82,7 @@ interface Routine {
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
 *
-* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
+* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
 *
 * var v = dnanvariancech.ndarray( x.length, 1, x, 1, 0 );
 * // returns ~4.3333

lib/node_modules/@stdlib/stats/base/dnanvariancech/examples/c/example.c

@@ -30,7 +30,7 @@ int main( void ) {
 	const int strideX = 2;
 
 	// Compute the variance:
-	double v = stdlib_strided_dnanvariancech( N, 1, x, strideX );
+	double v = stdlib_strided_dnanvariancech( N, 1.0, x, strideX );
 
 	// Print the result:
 	printf( "sample variance: %lf\n", v );

lib/node_modules/@stdlib/stats/base/dnanvariancech/examples/index.js

@@ -21,7 +21,7 @@
 var uniform = require( '@stdlib/random/base/uniform' );
 var filledarrayBy = require( '@stdlib/array/filled-by' );
 var bernoulli = require( '@stdlib/random/base/bernoulli' );
-var dnanvariancech = require( '@stdlib/stats/base/dnanvariancech' );
+var dnanvariancech = require( './../lib' );
 
 function rand() {
 	if ( bernoulli( 0.8 ) < 1 ) {