diff --git a/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/benchmark/benchmark.js
index 6ff89647fa04..229f1c1cb9ae 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/benchmark/benchmark.js
@@ -21,8 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var entropy = require( './../lib' );
@@ -31,23 +30,21 @@ var entropy = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var opts;
 	var min;
 	var max;
-	var len;
 	var y;
 	var i;
 
-	len = 100;
-	min = new Float64Array( len );
-	max = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		min[ i ] = uniform( 0.0, 20.0 );
-		max[ i ] = uniform( min[ i ], min[ i ] + 20.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	min = uniform( 100, 0.0, 20.0, opts );
+	max = uniform( 100, 20.0, 40.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = entropy( min[ i % len ], max[ i % len ] );
+		y = entropy( min[ i % min.length ], max[ i % max.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/benchmark/benchmark.native.js
index 3d0052873c55..3ca87deb4a8b 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/benchmark/benchmark.native.js
@@ -22,10 +22,10 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -39,24 +39,22 @@ var opts = {
 
 // MAIN //
 
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
+	var opts;
 	var min;
 	var max;
-	var len;
 	var y;
 	var i;
 
-	len = 100;
-	min = new Float64Array( len );
-	max = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		min[ i ] = uniform( 0.0, 20.0 );
-		max[ i ] = uniform( min[ i ], min[ i ] + 20.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	min = uniform( 100, 0.0, 20.0, opts );
+	max = uniform( 100, 20.0, 40.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = entropy( min[ i % len ], max[ i % len ] );
+		y = entropy( min[ i % min.length ], max[ i % max.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/benchmark/benchmark.js
index b4566635424e..10856526ed18 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/benchmark/benchmark.js
@@ -21,8 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var kurtosis = require( './../lib' );
@@ -31,23 +30,21 @@ var kurtosis = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var opts;
 	var min;
 	var max;
-	var len;
 	var y;
 	var i;
 
-	len = 100;
-	min = new Float64Array( len );
-	max = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		min[ i ] = uniform( 0.0, 20.0 );
-		max[ i ] = uniform( min[ i ], min[ i ] + 20.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	min = uniform( 100, 0.0, 20.0, opts );
+	max = uniform( 100, 20.0, 40.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = kurtosis( min[ i % len ], max[ i % len ] );
+		y = kurtosis( min[ i % min.length ], max[ i % max.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/benchmark/benchmark.native.js
index 4b3d986776c3..9896ca50781f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/benchmark/benchmark.native.js
@@ -22,10 +22,10 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -39,24 +39,22 @@ var opts = {
 
 // MAIN //
 
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
+	var opts;
 	var min;
 	var max;
-	var len;
 	var y;
 	var i;
 
-	len = 100;
-	min = new Float64Array( len );
-	max = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		min[ i ] = uniform( 0.0, 20.0 );
-		max[ i ] = uniform( min[ i ], min[ i ] + 20.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	min = uniform( 100, 0.0, 20.0, opts );
+	max = uniform( 100, 20.0, 40.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = kurtosis( min[ i % len ], max[ i % len ] );
+		y = kurtosis( min[ i % min.length ], max[ i % max.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}