diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/variance/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/variance/test/test.js
index 485c16de454c..ab5d80873250 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/variance/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/variance/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 variance = require( './../lib' );
 
 
@@ -105,8 +104,6 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', function test
 
 tape( 'the function returns the variance of a Kumaraswamy\'s double bounded distribution', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var a;
 	var b;
 	var i;
@@ -117,13 +114,7 @@ tape( 'the function returns the variance of a Kumaraswamy\'s double bounded dist
 	b = data.b;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = variance( 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 ] );
-			tol = 15000.0 * 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.strictEqual( isAlmostSameValue( y, expected[ i ], 28672 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/variance/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/variance/test/test.native.js
index 263176c02432..1254ce2858e8 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/variance/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/variance/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 variance of a Kumaraswamy\'s double bounded distribution', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var a;
 	var b;
 	var i;
@@ -129,13 +126,7 @@ tape( 'the function returns the variance of a Kumaraswamy\'s double bounded dist
 	b = data.b;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = variance( 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 ] );
-			tol = 17500.0 * 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.strictEqual( isAlmostSameValue( y, expected[ i ], 28672 ), true, 'returns expected value' );
 	}
 	t.end();
 });