fix: example errors

Author: Neerajpathak07

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

@@ -61,7 +61,7 @@ var Float32Array = require( '@stdlib/array/float32' );
 var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
 
 var v = dsmean( x.length, x, 1 );
-// returns ~1.25
+// returns ~0.333
 ```
 
 The function has the following parameters:
@@ -77,9 +77,6 @@ var Float32Array = require( '@stdlib/array/float32' );
 var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float32Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
-
-var v = dsmean( x.length, x, 2 );
-// returns 1.25
 ```
 
 Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
@@ -91,9 +88,6 @@ var Float32Array = require( '@stdlib/array/float32' );
 
 var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-
-var v = dsmean( 5, x1, 2 );
-// returns 1.25
 ```
 
 #### dsmean.ndarray( N, x, strideX, offsetX )
@@ -104,9 +98,6 @@ Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-p
 var Float32Array = require( '@stdlib/array/float32' );
 
 var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
-
-var v = dsmean.ndarray( 5, x, 1, 0 );
-// returns ~1.25
 ```
 
 The function has the following additional parameters:
@@ -119,9 +110,6 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
 var Float32Array = require( '@stdlib/array/float32' );
 
 var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-
-var v = dsmean.ndarray( 5, x, 2, 1 );
-// returns 1.25
 ```
 
 </section>

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

@@ -52,7 +52,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float64', rand );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

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

@@ -61,7 +61,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float64', rand );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

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

@@ -52,7 +52,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float64', rand );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

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

@@ -61,7 +61,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float64', rand );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

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

@@ -46,6 +46,7 @@
     > {{alias}}( 3, x1, 2 )
     ~-0.333
 
+
 {{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the arithmetic mean of a single-precision floating-point strided
     array using extended accumulation and alternative indexing semantics and