diff --git a/lib/node_modules/@stdlib/stats/anova1/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/anova1/benchmark/benchmark.js
index 2756556a3f31..92882f1a1d58 100644
--- a/lib/node_modules/@stdlib/stats/anova1/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/anova1/benchmark/benchmark.js
@@ -21,10 +21,11 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
-var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var isObject = require( '@stdlib/assert/is-object' );
 var isString = require( '@stdlib/assert/is-string' ).isPrimitive;
+var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var anova1 = require( './../lib' );
 
@@ -35,20 +36,17 @@ bench( pkg, function benchmark( b ) {
 	var result;
 	var group;
 	var vals;
-	var len;
 	var i;
 
-	vals = new Array( 100 );
-	group = new Array( 100 );
-	len = vals.length;
-	for ( i = 0; i < len; i++ ) {
-		group[ i ] = discreteUniform( 0, 3 );
-		vals[ i ] = ( randu()*50.0 ) + ( 10.0*group[ i ] );
-	}
+	group = discreteUniform( 100, 0.0, 3.0, {
+		'dtype': 'generic'
+	});
+	vals = uniform( 100, 0.0, 100.0, {
+		'dtype': 'generic'
+	});
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		vals[ i % vals.length ] = ( randu()*50.0 ) + ( 10.0*group[ i ] );
 		result = anova1( vals, group );
 		if ( typeof result !== 'object' ) {
 			b.fail( 'should return an object' );
@@ -62,22 +60,20 @@ bench( pkg, function benchmark( b ) {
 	b.end();
 });
 
-bench( pkg+':print', function benchmark( b ) {
+bench( format( '%s:print', pkg ), function benchmark( b ) {
 	var digits;
 	var result;
 	var output;
 	var group;
 	var vals;
-	var len;
 	var i;
 
-	vals = new Array( 100 );
-	group = new Array( 100 );
-	len = vals.length;
-	for ( i = 0; i < len; i++ ) {
-		group[ i ] = discreteUniform( 0, 3 );
-		vals[ i ] = ( randu()*50.0 ) + ( 10.0*group[ i ] );
-	}
+	vals = uniform( 100, 0.0, 100.0, {
+		'dtype': 'generic'
+	});
+	group = discreteUniform( 100, 0.0, 3.0, {
+		'dtype': 'generic'
+	});
 	result = anova1( vals, group );
 
 	b.tic();