Apply suggestions from code review

Signed-off-by: Athan <kgryte@gmail.com>

Author: kgryte

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

@@ -100,7 +100,7 @@ var dnanvarianceyc = require( '@stdlib/stats/base/dnanvarianceyc' );
 
 #### dnanvarianceyc( N, correction, x, strideX )
 
-Computes the [variance][variance] of a double-precision floating-point strided array `x` ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
+Computes the [variance][variance] of a double-precision floating-point strided array, ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -147,7 +147,7 @@ var v = dnanvarianceyc( 5, 1, x1, 2 );
 
 #### dnanvarianceyc.ndarray( N, correction, x, strideX, offsetX )
 
-Computes the [variance][variance] of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer and alternative indexing semantics.
+Computes the [variance][variance] of a double-precision floating-point strided array, ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer and alternative indexing semantics.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -169,7 +169,7 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
 
-var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN] );
+var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
 
 var v = dnanvarianceyc.ndarray( 5, 1, x, 2, 1 );
 // returns 6.25
@@ -248,7 +248,7 @@ console.log( v );
 
 #### stdlib_strided_dnanvarianceyc( N, correction, \*X, strideX )
 
-Computes the [variance][variance] of a double-precision floating-point strided array `x` ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
+Computes the [variance][variance] of a double-precision floating-point strided array, ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
 
 ```c
 const double x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
@@ -270,7 +270,7 @@ double stdlib_strided_dnanvarianceyc( const CBLAS_INT N, const double correction
 
 #### stdlib_strided_dnanvarianceyc_ndarray( N, correction, \*X, strideX, offsetX )
 
-Computes the [variance][variance] of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer and alternative indexing semantics.
+Computes the [variance][variance] of a double-precision floating-point strided array, ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer and alternative indexing semantics.
 
 ```c
 const double x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };