chore: markdown changes

Author: Neerajpathak07

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

@@ -191,7 +191,7 @@ 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_dsnanmeanors( 6, x, 2 );
-// returns 1.25
+// returns 4.66
 ```
 
 The function accepts the following arguments:
@@ -212,7 +212,7 @@ 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_dsnanmeanors_ndarray( 6, x, 2, 0 );
-// returns 1.25
+// returns 4.66
 ```
 
 The function accepts the following arguments:

lib/node_modules/@stdlib/stats/base/dsnanmeanors/src/main.c

@@ -19,7 +19,6 @@
 #include "stdlib/stats/base/dsnanmeanors.h"
 #include "stdlib/blas/base/shared.h"
 #include "stdlib/strided/base/stride2offset.h"
-#include <stdint.h>
 
 /**
 * Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.

lib/node_modules/@stdlib/stats/base/dsnanmeanors/test/test.dsnanmeanors.js

@@ -104,7 +104,7 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN   // 4
 	]);
 
-	v = dsnanmeanors( 4, x, 2 );
+	v = dsnanmeanors( 5, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -126,7 +126,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		NaN   // 0
 	]);
 
-	v = dsnanmeanors( 4, x, -2 );
+	v = dsnanmeanors( 5, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();

lib/node_modules/@stdlib/stats/base/dsnanmeanors/test/test.dsnanmeanors.native.js

@@ -195,7 +195,7 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN   // 4
 	]);
 
-	v = dsnanmeanors( 4, x, 2 );
+	v = dsnanmeanors( 5, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -217,7 +217,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		NaN   // 0
 	]);
 
-	v = dsnanmeanors( 4, x, -2 );
+	v = dsnanmeanors( 5, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();

lib/node_modules/@stdlib/stats/base/dsnanmeanors/test/test.ndarray.js

@@ -104,7 +104,7 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN   // 4
 	]);
 
-	v = dsnanmeanors( 4, x, 2, 0 );
+	v = dsnanmeanors( 5, x, 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -126,7 +126,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		NaN   // 0
 	]);
 
-	v = dsnanmeanors( 4, x, -2, 6 );
+	v = dsnanmeanors( 5, x, -2, 8 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();

lib/node_modules/@stdlib/stats/base/dsnanmeanors/test/test.ndarray.native.js

@@ -113,7 +113,7 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN   // 4
 	]);
 
-	v = dsnanmeanors( 4, x, 2, 0 );
+	v = dsnanmeanors( 5, x, 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -135,7 +135,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		NaN   // 0
 	]);
 
-	v = dsnanmeanors( 4, x, -2, 6 );
+	v = dsnanmeanors( 5, x, -2, 8 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();