Apply suggestions from code review

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

Author: kgryte

lib/node_modules/@stdlib/stats/base/ndarray/stdevch/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # stdevch
 
-> Calculate the [standard deviation][standard-deviation] of a one-dimensional ndarray using a one-pass trial mean algorithm
+> Calculate the [standard deviation][standard-deviation] of a one-dimensional ndarray using a one-pass trial mean algorithm.
 
 <section class="intro">
 
@@ -100,14 +100,14 @@ var stdevch = require( '@stdlib/stats/base/ndarray/stdevch' );
 
 #### stdevch( arrays )
 
-Computes the [standard deviation][standard-deviation] of a one-dimensional ndarray using a one-pass trial mean algorithm
+Computes the [standard deviation][standard-deviation] of a one-dimensional ndarray using a one-pass trial mean algorithm.
 
 ```javascript
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 
 var opts = {
-    'dtype': 'float64'
+    'dtype': 'generic'
 };
 
 var xbuf = [ 1.0, -2.0, 2.0 ];
@@ -145,7 +145,6 @@ The function has the following parameters:
 
 ```javascript
 var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var Float64Array = require( '@stdlib/array/float64' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );

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

@@ -34,7 +34,7 @@ var stdevch = require( './../lib' );
 // VARIABLES //
 
 var options = {
-	'dtype': 'float64'
+	'dtype': 'generic'
 };
 
 

lib/node_modules/@stdlib/stats/base/ndarray/stdevch/docs/types/index.d.ts

@@ -44,7 +44,7 @@ import { typedndarray } from '@stdlib/types/ndarray';
 * var v = stdevch( [ x, correction ] );
 * // returns ~2.0817
 */
-declare function stdevch<T extends typedndarray = typedndarray>( arrays: [ T, T ] ): number;
+declare function stdevch<T extends typedndarray<number> = typedndarray<number>>( arrays: [ T, T ] ): number;
 
 
 // EXPORTS //

lib/node_modules/@stdlib/stats/base/ndarray/stdevch/docs/types/test.ts

@@ -30,7 +30,9 @@ import stdevch = require( './index' );
 	const x = zeros( [ 10 ], {
 		'dtype': 'float64'
 	});
-	const correction = scalar2ndarray( 1.0, { 'dtype': 'float64' } );
+	const correction = scalar2ndarray( 1.0, {
+		'dtype': 'float64'
+	});
 
 	stdevch( [ x, correction ] ); // $ExpectType number
 }
@@ -53,7 +55,9 @@ import stdevch = require( './index' );
 	const x = zeros( [ 10 ], {
 		'dtype': 'float64'
 	});
-	const correction = scalar2ndarray( 1.0, { 'dtype': 'float64' } );
+	const correction = scalar2ndarray( 1.0, {
+		'dtype': 'float64'
+	});
 
 	stdevch(); // $ExpectError
 	stdevch( [ x, correction ], 10 ); // $ExpectError