diff --git a/lib/node_modules/@stdlib/stats/base/dists/signrank/cdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/signrank/cdf/benchmark/benchmark.js
index 16f764a8f1ae..7c7eca029aac 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/signrank/cdf/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/signrank/cdf/benchmark/benchmark.js
@@ -21,7 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var ceil = require( '@stdlib/math/base/special/ceil' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
@@ -29,22 +29,31 @@ var cdf = require( './../lib' );
 
 
 // MAIN //
+function generateRandomValues(iterations, minX, maxX, minN, maxN) {
+    return {
+        xValues: Array.from({ length: iterations }, () => uniform(minX, maxX)),
+        nValues: Array.from({ length: iterations }, () => Math.ceil(uniform(minN, maxN)))
+    };
+}
+
 
 bench( pkg, function benchmark( b ) {
+	var { xValues, nValues } = generateRandomValues(b.iterations, 0, 20.0, 1, 20.0);
 	var n;
 	var x;
 	var y;
 	var i;
 
 	b.tic();
-	for ( i = 0; i < b.iterations; i++ ) {
-		x = randu() * 20.0;
-		n = ceil( randu()*20.0 );
-		y = cdf( x, n );
-		if ( isnan( y ) ) {
-			b.fail( 'should not return NaN' );
-		}
-	}
+	for ( i = 0; i < b.iterations; i++) {
+              x = xValues[i];
+              n = nValues[i];
+              y = cdf(x, n);
+              if (isnan(y)) {
+                  b.fail('should not return NaN');
+                 }
+         }
+
 	b.toc();
 	if ( isnan( y ) ) {
 		b.fail( 'should not return NaN' );
@@ -62,14 +71,18 @@ bench( pkg+':factory', function benchmark( b ) {
 
 	n = 20;
 	mycdf = cdf.factory( n );
+	const { xValues } = generateRandomValues(b.iterations, 0, 20.0); 
 
 	b.tic();
-	for ( i = 0; i < b.iterations; i++ ) {
-		x = randu() * 20.0;
-		y = mycdf( x );
-		if ( isnan( y ) ) {
-			b.fail( 'should not return NaN' );
-		}
+
+	for ( i = 0; i < b.iterations; i++) {
+              x = xValues[i];
+              y = mycdf(x);
+              if (isnan(y)) {
+                     b.fail('should not return NaN');
+                  }
+         }
+
 	}
 	b.toc();
 	if ( isnan( y ) ) {