diff --git a/lib/node_modules/@stdlib/stats/base/dists/bradford/median/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/bradford/median/test/test.js
index 12e7ae682ec2..f7e408b600bb 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/bradford/median/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/bradford/median/test/test.js
@@ -21,10 +21,9 @@
 // MODULES //
 
 var tape = require( 'tape' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var median = require( './../lib' );
 
 
@@ -64,8 +63,6 @@ tape( 'if provided `c <= 0`, the function returns `NaN`', function test( t ) {
 
 tape( 'the function returns the median of a Bradford distribution', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var i;
 	var c;
 	var y;
@@ -74,13 +71,7 @@ tape( 'the function returns the median of a Bradford distribution', function tes
 	c = data.x;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = median( c[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'c: '+c[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 7.2 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 14 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/bradford/median/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/bradford/median/test/test.native.js
index 23a1385e6347..461c5d8adc82 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/bradford/median/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/bradford/median/test/test.native.js
@@ -22,10 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 
 
@@ -88,8 +87,6 @@ tape( 'if provided `c <= 0`, the function returns `NaN`', opts, function test( t
 
 tape( 'the function returns the median of a Bradford distribution', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var i;
 	var c;
 	var y;
@@ -98,13 +95,7 @@ tape( 'the function returns the median of a Bradford distribution', opts, functi
 	c = data.x;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = median( c[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'c: '+c[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 7.2 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 14 ), true, 'returns expected value' );
 	}
 	t.end();
 });