chore: update according to code review

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Author: 0PrashantYadav0

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

@@ -116,9 +116,9 @@ The function has the following parameters:
 -   **N**: number of indexed elements.
 -   **correction**: degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [variance][variance] according to `n-c` where `c` corresponds to the provided degrees of freedom adjustment and `n` corresponds to the number of non-`NaN` indexed elements. When computing the [variance][variance] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the unbiased sample [variance][variance], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
 -   **x**: input [`Float64Array`][@stdlib/array/float64].
--   **strideX**: index increment for `X`.
+-   **strideX**: index increment for `x`.
 
-The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [variance][variance] of every other element in `X`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [variance][variance] of every other element in `x`,
 
 <!-- eslint-disable max-len -->
 
@@ -162,7 +162,7 @@ var v = dnanvariancewd.ndarray( x.length, 1, x, 1, 0 );
 
 The function has the following additional parameters:
 
--   **offset**: starting index for `X`.
+-   **offset**: starting index for `x`.
 
 While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the [variance][variance] for every other element in `X` starting from the second element
 

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

@@ -33,7 +33,7 @@ var dnanvariancewd = require( './../lib/dnanvariancewd.js' );
 // FUNCTIONS //
 
 /**
-* Returns a random value or `NaN`.
+* Returns a random number.
 *
 * @private
 * @returns {number} random number or `NaN`

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

@@ -42,7 +42,7 @@ var opts = {
 // FUNCTIONS //
 
 /**
-* Returns a random value or `NaN`.
+* Returns a random number.
 *
 * @private
 * @returns {number} random number or `NaN`

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

@@ -33,7 +33,7 @@ var dnanvariancewd = require( './../lib/ndarray.js' );
 // FUNCTIONS //
 
 /**
-* Returns a random value or `NaN`.
+* Returns a random number.
 *
 * @private
 * @returns {number} random number or `NaN`

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

@@ -42,7 +42,7 @@ var opts = {
 // FUNCTIONS //
 
 /**
-* Returns a random value or `NaN`.
+* Returns a random number.
 *
 * @private
 * @returns {number} random number or `NaN`