diff --git a/lib/node_modules/@stdlib/stats/base/dists/binomial/entropy/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/binomial/entropy/test/test.js
index 91e538deb7a0..d944ceacc31a 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/binomial/entropy/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/binomial/entropy/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 abs = require( '@stdlib/math/base/special/abs' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var entropy = require( './../lib' );
 
 
@@ -114,8 +113,6 @@ tape( 'the function returns `0` for `n` equal to `0`', function test( t ) {
 
 tape( 'the function returns the entropy of a binomial distribution', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var n;
 	var p;
 	var y;
@@ -126,14 +123,7 @@ tape( 'the function returns the entropy of a binomial distribution', function te
 	p = data.p;
 	for ( i = 0; i < n.length; i++ ) {
 		y = entropy( n[i], p[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'n: '+n[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
-		}
-		else {
-			delta = abs( y - expected[i] );
-			tol = 1.0 * EPS * abs( expected[i] );
-			t.strictEqual( delta <= tol, true, 'within tolerance. n: '+n[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/binomial/entropy/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/binomial/entropy/test/test.native.js
index 4f434daa3153..70b028ed438f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/binomial/entropy/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/binomial/entropy/test/test.native.js
@@ -22,12 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 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 PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 
 
 // FIXTURES //
@@ -136,8 +135,6 @@ tape( 'the function returns `0` for `n` equal to `0`', opts, function test( t )
 
 tape( 'the function returns the entropy of a binomial distribution', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var n;
 	var p;
 	var y;
@@ -148,14 +145,7 @@ tape( 'the function returns the entropy of a binomial distribution', opts, funct
 	p = data.p;
 	for ( i = 0; i < n.length; i++ ) {
 		y = entropy( n[i], p[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'n: '+n[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
-		}
-		else {
-			delta = abs( y - expected[i] );
-			tol = 25.0 * EPS * abs( expected[i] );
-			t.strictEqual( delta <= tol, true, 'within tolerance. n: '+n[i]+'. p: '+p[i]+'. y: '+y+'. Expected: '+expected[i]+'. tol: '+tol+'. delta: '+delta+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });