diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/test/test.js
index 6bdd860ab2b3..bc3dd3f747b1 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/test/test.js
@@ -22,10 +22,9 @@
 
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var mode = require( './../lib' );
 
 
@@ -76,9 +75,7 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', function
 
 tape( 'the function returns the mode of a lognormal distribution', function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var mu;
 	var y;
 	var i;
@@ -89,13 +86,7 @@ tape( 'the function returns the mode of a lognormal distribution', function test
 	for ( i = 0; i < mu.length; i++ ) {
 		y = mode( mu[i], sigma[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.strictEqual( y, expected[i], 'mu:'+mu[i]+', sigma: '+sigma[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. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+			t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 		}
 	}
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/test/test.native.js
index 27ff7d0d2192..f3f7a13053f7 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/test/test.native.js
@@ -24,10 +24,9 @@ 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 isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 
 
 // FIXTURES //
@@ -88,9 +87,7 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', opts, fun
 
 tape( 'the function returns the mode of a lognormal distribution', opts, function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var mu;
 	var y;
 	var i;
@@ -101,13 +98,7 @@ tape( 'the function returns the mode of a lognormal distribution', opts, functio
 	for ( i = 0; i < mu.length; i++ ) {
 		y = mode( mu[i], sigma[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.strictEqual( y, expected[i], 'mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 18.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+			t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 		}
 	}
 	t.end();