refactor: update benchmarks to use array/uniform and fix comment

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/weibull/stdev/benchmark/benchmark.js

@@ -22,7 +22,7 @@
 
 var Float64Array = require( '@stdlib/array/float64' );
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -39,12 +39,8 @@ bench( pkg, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	k = new Float64Array( len );
-	lambda = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		k[ i ] = ( randu() * 10.0 ) + EPS;
-		lambda[ i ] = ( randu() * 10.0 ) + EPS;
-	}
+	k = uniform( len, EPS, 10.0 + EPS );
+	lambda = uniform( len, EPS, 10.0 + EPS );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/stats/base/dists/weibull/stdev/benchmark/benchmark.native.js

@@ -24,7 +24,7 @@ var resolve = require( 'path' ).resolve;
 var tryRequire = require( '@stdlib/utils/try-require' );
 var Float64Array = require( '@stdlib/array/float64' );
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -48,12 +48,8 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	k = new Float64Array( len );
-	lambda = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		k[ i ] = ( randu() * 10.0 ) + EPS;
-		lambda[ i ] = ( randu() * 10.0 ) + EPS;
-	}
+	k = uniform( len, EPS, 10.0 + EPS );
+	lambda = uniform( len, EPS, 10.0 + EPS );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/stats/base/dists/weibull/stdev/src/main.c

@@ -26,7 +26,7 @@
 *
 * @param k        shape parameter
 * @param lambda   scale parameter
-* @returns        expected value
+* @returns        standard deviation
 *
 * @example
 * double v = stdev( 4.0, 12.0 );