diff --git a/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/lib/main.js b/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/lib/main.js
index 7716b789d4fb..d2cc9b107a7d 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/lib/main.js
@@ -18,14 +18,9 @@
 
 'use strict';
 
-// MODULES //
-
-var sqrt = require( '@stdlib/math/base/special/sqrt' );
-
-
 // VARIABLES //
 
-var SQRT1O12 = sqrt( 1.0/12.0 );
+var SQRT1O12 = 0.28867513459481287; // sqrt( 1.0/12.0 );
 
 
 // MAIN //
diff --git a/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/src/main.c b/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/src/main.c
index 24e4764d7e24..dd8bf69640cf 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/src/main.c
@@ -18,7 +18,6 @@
 
 #include "stdlib/stats/base/dists/uniform/stdev.h"
 #include "stdlib/math/base/assert/is_nan.h"
-#include "stdlib/math/base/special/sqrt.h"
 
 /**
 * Returns the standard deviation of a uniform distribution.
@@ -31,6 +30,9 @@
 * double v = stdev( 4.0, 12.0 );
 * // returns ~2.309
 */
+
+static const double SQRT_ONE_TWELFTH = 0.28867513459481287; // stdlib_base_sqrt( 1.0/12.0 )
+
 double stdlib_base_dists_uniform_stdev( const double a, const double b ) {
 	if (
 		stdlib_base_is_nan( a ) ||
@@ -39,5 +41,5 @@ double stdlib_base_dists_uniform_stdev( const double a, const double b ) {
 	) {
 		return 0.0 / 0.0; // NaN
 	}
-	return stdlib_base_sqrt( 1.0/12.0 ) * ( b-a );
+	return  SQRT_ONE_TWELFTH * ( b-a );
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/test/test.js
index e69df232782c..48d75a6aac27 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/test/test.js
@@ -84,13 +84,9 @@ tape( 'the function returns the standard deviation of a uniform distribution', f
 	b = data.b;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = stdev( a[i], b[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. a: '+a[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		delta = abs( y - expected[ i ] );
+		tol = 1.0 * EPS * abs( expected[ i ] );
+		t.ok( delta <= tol, 'within tolerance. a: '+a[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/test/test.native.js
index fa1ae4b56ef0..cee4887a0497 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/uniform/stdev/test/test.native.js
@@ -79,7 +79,7 @@ tape( 'if provided `a >= b`, the function returns `NaN`', opts, function test( t
 	t.end();
 });
 
-tape( 'the function returns the standard deviation of a uniform distribution', function test( t ) {
+tape( 'the function returns the standard deviation of a uniform distribution', opts, function test( t ) {
 	var expected;
 	var delta;
 	var tol;
@@ -93,13 +93,9 @@ tape( 'the function returns the standard deviation of a uniform distribution', f
 	b = data.b;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = stdev( a[i], b[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. a: '+a[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		delta = abs( y - expected[ i ] );
+		tol = 1.0 * EPS * abs( expected[ i ] );
+		t.ok( delta <= tol, 'within tolerance. a: '+a[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 	}
 	t.end();
 });