diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/test.js
index 9bb4fc9364f1..623c170cb033 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/test.js
@@ -21,9 +21,8 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var median = require( './../lib' );
 
 
@@ -74,8 +73,6 @@ tape( 'if provided parameters not satisfying `a <= c <= b`, the function returns
 
 tape( 'the function returns the median of a triangular distribution if provided parameters satisfy `c < (a + b) / 2`', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var a;
 	var b;
 	var c;
@@ -87,22 +84,14 @@ tape( 'the function returns the median of a triangular distribution if provided
 	b = data1.b;
 	c = data1.c;
 	for ( i = 0; i < expected.length; i++ ) {
-		y = median( a[i], b[i], c[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', c: '+c[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]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		y = median( a[ i ], b[ i ], c[ i ] );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function returns the median of a triangular distribution if provided parameters satisfy `c >= (a + b) / 2`', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var a;
 	var b;
 	var c;
@@ -114,14 +103,8 @@ tape( 'the function returns the median of a triangular distribution if provided
 	b = data2.b;
 	c = data2.c;
 	for ( i = 0; i < expected.length; i++ ) {
-		y = median( a[i], b[i], c[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', c: '+c[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]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		y = median( a[ i ], b[ i ], c[ i ] );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/test.native.js
index e31d0838b71c..27b198b780d2 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/test.native.js
@@ -24,8 +24,7 @@ var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
-var EPS = require( '@stdlib/constants/float64/eps' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 
 
 // FIXTURES //
@@ -83,8 +82,6 @@ tape( 'if provided parameters not satisfying `a <= c <= b`, the function returns
 
 tape( 'the function returns the median of a triangular distribution if provided parameters satisfy `c < (a + b) / 2`', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var a;
 	var b;
 	var c;
@@ -96,22 +93,14 @@ tape( 'the function returns the median of a triangular distribution if provided
 	b = data1.b;
 	c = data1.c;
 	for ( i = 0; i < expected.length; i++ ) {
-		y = median( a[i], b[i], c[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', c: '+c[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]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		y = median( a[ i ], b[ i ], c[ i ] );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function returns the median of a triangular distribution if provided parameters satisfy `c >= (a + b) / 2`', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var a;
 	var b;
 	var c;
@@ -123,14 +112,8 @@ tape( 'the function returns the median of a triangular distribution if provided
 	b = data2.b;
 	c = data2.c;
 	for ( i = 0; i < expected.length; i++ ) {
-		y = median( a[i], b[i], c[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', c: '+c[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]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		y = median( a[ i ], b[ i ], c[ i ] );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });