refactor: update bench file

Author: Neerajpathak07

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

@@ -194,7 +194,7 @@ Computes the arithmetic mean of a single-precision floating-point strided array
 const float x[] = { 1.0f, 2.0f, 0.0f/0.0f, 3.0f, 0.0f/0.0f, 4.0f, 5.0f, 6.0f, 0.0f/0.0f, 7.0f, 8.0f, 0.0f/0.0f };
 
 double v = stdlib_strided_dsnanmeanpn( 6, x, 2 );
-// returns 4.6667
+// returns ~4.6667
 ```
 
 The function accepts the following arguments:
@@ -215,7 +215,7 @@ Computes the arithmetic mean of a single-precision floating-point strided array,
 const float x[] = { 1.0f, 2.0f, 0.0f/0.0f, 3.0f, 0.0f/0.0f, 4.0f, 5.0f, 6.0f, 0.0f/0.0f, 7.0f, 8.0f, 0.0f/0.0f };
 
 double v = stdlib_strided_dsnanmeanpn_ndarray( 6, x, 2, 0 );
-// returns 4.6667
+// returns ~4.6667
 ```
 
 The function accepts the following arguments:

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

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

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

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

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

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

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

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