docs: ensure consistent conventions

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: passed
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: rahulptl165

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

@@ -68,7 +68,7 @@ The function has the following parameters:
 -   **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
 -   **strideX**: stride length for `x`.
 
-The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] 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 [arithmetic mean][arithmetic-mean] of every other element in `x`,
 
 ```javascript
 var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN, NaN ];
@@ -106,7 +106,7 @@ The function has the following additional parameters:
 
 -   **offsetX**: starting index for `x`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on a starting index. For example, to calculate the [arithmetic mean][arithmetic-mean] for every other value in `x` starting from the second value
+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 [arithmetic mean][arithmetic-mean] for every other value in `x` starting from the second value
 
 ```javascript
 var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ];

lib/node_modules/@stdlib/stats/base/nanmeanors/docs/repl.txt

@@ -37,14 +37,14 @@
     ~0.3333
 
     // Using `N` and stride parameters:
-    > x = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ];
-    > {{alias}}( 3, x, 2 )
+    > x = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ];
+    > {{alias}}( 4, x, 2 )
     ~0.3333
 
     // Using view offsets:
-    > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
+    > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > {{alias}}( 3, x1, 2 )
+    > {{alias}}( 4, x1, 2 )
     ~-0.3333
 
 
@@ -83,8 +83,8 @@
     ~0.3333
 
     // Using offset parameter:
-    > var x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ];
-    > {{alias}}.ndarray( 3, x, 2, 1 )
+    > var x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ];
+    > {{alias}}.ndarray( 4, x, 2, 1 )
     ~-0.3333
 
     See Also

lib/node_modules/@stdlib/stats/base/nanmeanors/lib/nanmeanors.js

@@ -36,9 +36,8 @@ var ndarray = require( './ndarray.js' );
 *
 * @example
 * var x = [ 1.0, -2.0, NaN, 2.0 ];
-* var N = x.length;
 *
-* var v = nanmeanors( N, x, 1 );
+* var v = nanmeanors( 4, x, 1 );
 * // returns ~0.3333
 */
 function nanmeanors( N, x, strideX ) {

lib/node_modules/@stdlib/stats/base/nanmeanors/lib/ndarray.js

@@ -36,12 +36,9 @@ var accessors = require( './accessors.js' );
 * @returns {number} arithmetic mean
 *
 * @example
-* var floor = require( '@stdlib/math/base/special/floor' );
-*
 * var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ];
-* var N = floor( x.length / 2 );
 *
-* var v = nanmeanors( N, x, 2, 1 );
+* var v = nanmeanors( 4, x, 2, 1 );
 * // returns 1.25
 */
 function nanmeanors( N, x, strideX, offsetX ) {