diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/stdev/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/stdev/test/test.js
index 8e180bc8291f..af3e5ce64b5b 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/stdev/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/stdev/test/test.js
@@ -21,11 +21,10 @@
 // MODULES //
 
 var tape = require( 'tape' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var stdev = require( './../lib' );
 
 
@@ -105,8 +104,6 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', function test
 
 tape( 'the function returns the standard deviation of a Kumaraswamy\'s double bounded distribution', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var a;
 	var b;
 	var i;
@@ -115,22 +112,16 @@ tape( 'the function returns the standard deviation of a Kumaraswamy\'s double bo
 	expected = data.expected;
 	a = data.a;
 	b = data.b;
+
+	/*
+	* High tolerance needed due to compounding errors in σ = √(m₂ - m₁²):
+	* - Two beta function evaluations with different parameters
+	* - Subtraction precision loss when m₂ ≈ m₁²
+	* - Square root operation amplifying small errors
+	*/
 	for ( i = 0; i < expected.length; i++ ) {
 		y = stdev( a[i], b[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-
-			/*
-			* High tolerance needed due to compounding errors in σ = √(m₂ - m₁²):
-			* - Two beta function evaluations with different parameters
-			* - Subtraction precision loss when m₂ ≈ m₁²
-			* - Square root operation amplifying small errors
-			*/
-			tol = 10000 * 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.strictEqual( isAlmostSameValue( y, expected[ i ], 10564 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/stdev/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/stdev/test/test.native.js
index c452bf9bd924..1b0e8a7c7c56 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/stdev/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/stdev/test/test.native.js
@@ -23,11 +23,10 @@
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
 var tryRequire = require( '@stdlib/utils/try-require' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
-var abs = require( '@stdlib/math/base/special/abs' );
 
 
 // FIXTURES //
@@ -117,8 +116,6 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', opts, functio
 
 tape( 'the function returns the standard deviation of a Kumaraswamy\'s double bounded distribution', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var a;
 	var b;
 	var i;
@@ -127,22 +124,16 @@ tape( 'the function returns the standard deviation of a Kumaraswamy\'s double bo
 	expected = data.expected;
 	a = data.a;
 	b = data.b;
+
+	/*
+	* High tolerance needed due to compounding errors in σ = √(m₂ - m₁²):
+	* - Two beta function evaluations with different parameters
+	* - Subtraction precision loss when m₂ ≈ m₁²
+	* - Square root operation amplifying small errors
+	*/
 	for ( i = 0; i < expected.length; i++ ) {
 		y = stdev( a[i], b[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-
-			/*
-			* High tolerance needed due to compounding errors in σ = √(m₂ - m₁²):
-			* - Two beta function evaluations with different parameters
-			* - Subtraction precision loss when m₂ ≈ m₁²
-			* - Square root operation amplifying small errors
-			*/
-			tol = 18500 * 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.strictEqual( isAlmostSameValue( y, expected[ i ], 10564 ), true, 'returns expected value' );
 	}
 	t.end();
 });