chore: changes from code review

Author: Neerajpathak07

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

@@ -193,13 +193,13 @@ Computes arithmetic mean of a double-precision floating-point strided array, ign
 const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
 
 double v = stdlib_strided_dnanmeanpn( 6, x, 2 );
-// returns 4.6667
+// returns ~4.6667
 ```
 
 The function accepts the following arguments:
 
--   **N**:       `[in] CBLAS_INT` number of indexed elements.
--   **X**:       `[in] double*` input array.
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] double*` input array.
 -   **strideX**: `[in] CBLAS_INT` stride length for `X`.
 
 ```c
@@ -214,13 +214,13 @@ Computes the aithmetic mean of a double-precision floating-point strided array,
 const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
 
 double v = stdlib_strided_dnanmeanpn( 6, x, 2, 0 );
-// returns 4.6667
+// returns ~4.6667
 ```
 
 The function accepts the following arguments:
 
--   **N**:       `[in] CBLAS_INT` number of indexed elements.
--   **X**:       `[in] double*` input array.
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] double*` input array.
 -   **strideX**: `[in] CBLAS_INT` stride length for `X`.
 -   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
 

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

@@ -33,13 +33,13 @@ var dnanmeanpn = require( './../lib/dnanmeanpn.js' );
 // FUNCTIONS //
 
 /**
-* Returns a random value or `NaN`.
+* Returns a random number.
 *
 * @private
-* @returns {number} random number or `NaN`
+* @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.8 < 1 ) ) {
+	if ( bernoulli( 0.5 < 1 ) ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

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

@@ -42,13 +42,13 @@ var opts = {
 // FUNCTIONS //
 
 /**
-* Returns a random value or `NaN`.
+* Returns a random number.
 *
 * @private
-* @returns {number} random number or `NaN`
+* @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.8 < 1 ) ) {
+	if ( bernoulli( 0.5 < 1 ) ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

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

@@ -33,13 +33,13 @@ var dnanmeanpn = require( './../lib/ndarray.js' );
 // FUNCTIONS //
 
 /**
-* Returns a random value or `NaN`.
+* Returns a random number.
 *
 * @private
-* @returns {number} random number or `NaN`
+* @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.8 < 1 ) ) {
+	if ( bernoulli( 0.5 < 1 ) ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

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

@@ -42,13 +42,13 @@ var opts = {
 // FUNCTIONS //
 
 /**
-* Returns a random value or `NaN`.
+* Returns a random number.
 *
 * @private
-* @returns {number} random number or `NaN`
+* @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.8 < 1 ) ) {
+	if ( bernoulli( 0.5 < 1 ) ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );