chore: updated input value

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Author: 0PrashantYadav0

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

@@ -185,7 +185,7 @@ Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-p
 ```c
 const double x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
 
-double v = stdlib_strided_dnanmeanpn( 3, x, 1 );
+double v = stdlib_strided_dnanmeanpn( 4, x, 1 );
 // returns ~0.33333
 ```
 
@@ -206,7 +206,7 @@ Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-p
 ```c
 const double x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
 
-double v = stdlib_strided_dnanmeanpn_ndarray( 3, x, 1, 0 );
+double v = stdlib_strided_dnanmeanpn_ndarray( 4, x, 1, 0 );
 // returns ~0.33333
 ```
 

lib/node_modules/@stdlib/stats/base/snanmeanpn/benchmark/benchmark.js

@@ -39,7 +39,7 @@ var snanmeanpn = require( './../lib/snanmeanpn.js' );
 * @returns {number} random number or `NaN`
 */
 function rand() {
-	if ( bernoulli( 0.2 ) ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

lib/node_modules/@stdlib/stats/base/snanmeanpn/benchmark/benchmark.native.js

@@ -48,7 +48,7 @@ var opts = {
 * @returns {number} random number or `NaN`
 */
 function rand() {
-	if ( bernoulli( 0.2 ) ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

lib/node_modules/@stdlib/stats/base/snanmeanpn/benchmark/benchmark.ndarray.js

@@ -39,7 +39,7 @@ var snanmeanpn = require( './../lib/ndarray.js' );
 * @returns {number} random number or `NaN`
 */
 function rand() {
-	if ( bernoulli( 0.2 ) ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

lib/node_modules/@stdlib/stats/base/snanmeanpn/benchmark/benchmark.ndarray.native.js

@@ -48,7 +48,7 @@ var opts = {
 * @returns {number} random number or `NaN`
 */
 function rand() {
-	if ( bernoulli( 0.2 ) ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );