diff --git a/lib/node_modules/@stdlib/stats/kstest/test/test.js b/lib/node_modules/@stdlib/stats/kstest/test/test.js
index 6033fa55326c..cd6d4446aa76 100644
--- a/lib/node_modules/@stdlib/stats/kstest/test/test.js
+++ b/lib/node_modules/@stdlib/stats/kstest/test/test.js
@@ -21,12 +21,11 @@
 // MODULES //
 
 var tape = require( 'tape' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var contains = require( '@stdlib/assert/contains' );
 var uniform = require( '@stdlib/random/base/uniform' ).factory;
 var uniformCDF = require( '@stdlib/stats/base/dists/uniform/cdf' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var Float64Array = require( '@stdlib/array/float64' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var zeros = require( '@stdlib/array/base/zeros' );
 var kstest = require( './../lib' );
 
@@ -183,46 +182,34 @@ tape( 'the function throws an error if the `alpha` option is a numeric value out
 
 tape( 'the function correctly computes the two-sided Kolmogorov-Smirnov test', function test( t ) {
 	var expected;
-	var delta;
 	var out;
-	var tol;
 
 	// Choosing the CDF via a string...
 	out = kstest( data, 'uniform', 0.0, 1.0 );
 
 	// Tested against R:
 	expected = twosided.pvalue;
-	delta = abs( out.pValue - expected );
-	tol = 20.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. p-value: '+out.pValue+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.pValue, expected, 0 ), true, 'returns expected value' );
 
 	expected = twosided.statistic;
-	delta = abs( out.statistic - expected );
-	tol = 5.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. test statistic: '+out.statistic+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );
 
 	// Directly passing the CDF...
 	out = kstest( data, uniformCDF, 0.0, 1.0 );
 
 	// Tested against R:
 	expected = twosided.pvalue;
-	delta = abs( out.pValue - expected );
-	tol = 20.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. p-value: '+out.pValue+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.pValue, expected, 0 ), true, 'returns expected value' );
 
 	expected = twosided.statistic;
-	delta = abs( out.statistic - expected );
-	tol = 5.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. test statistic: '+out.statistic+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );
 
 	t.end();
 });
 
 tape( 'the function correctly computes the two-sided Kolmogorov-Smirnov test for an already sorted array', function test( t ) {
 	var expected;
-	var delta;
 	var out;
-	var tol;
 	var x;
 
 	x = [ 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.8, 0.9 ];
@@ -232,23 +219,17 @@ tape( 'the function correctly computes the two-sided Kolmogorov-Smirnov test for
 
 	// Tested against R:
 	expected = 0.99963712;
-	delta = abs( out.pValue - expected );
-	tol = EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. p-value: '+out.pValue+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.pValue, expected, 0 ), true, 'returns expected value' );
 
 	expected = 0.10000000000000009;
-	delta = abs( out.statistic - expected );
-	tol = EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. test statistic: '+out.statistic+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );
 
 	t.end();
 });
 
 tape( 'the function correctly computes the two-sided Kolmogorov-Smirnov test for an already sorted typed array', function test( t ) {
 	var expected;
-	var delta;
 	var out;
-	var tol;
 	var x;
 
 	x = new Float64Array( [ 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.8, 0.9 ] ); // eslint-disable-line max-len
@@ -258,23 +239,17 @@ tape( 'the function correctly computes the two-sided Kolmogorov-Smirnov test for
 
 	// Tested against R:
 	expected = 0.99963712;
-	delta = abs( out.pValue - expected );
-	tol = EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. p-value: '+out.pValue+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.pValue, expected, 0 ), true, 'returns expected value' );
 
 	expected = 0.10000000000000009;
-	delta = abs( out.statistic - expected );
-	tol = EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. test statistic: '+out.statistic+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );
 
 	t.end();
 });
 
 tape( 'the function correctly computes a one-sided Kolmogorov-Smirnov test', function test( t ) {
 	var expected;
-	var delta;
 	var out;
-	var tol;
 
 	out = kstest( data, 'uniform', 0.0, 1.0, {
 		'alternative': 'less'
@@ -282,14 +257,10 @@ tape( 'the function correctly computes a one-sided Kolmogorov-Smirnov test', fun
 
 	// Tested against R:
 	expected = less.pvalue;
-	delta = abs( out.pValue - expected );
-	tol = 60.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. p-value: '+out.pValue+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.pValue, expected, 2 ), true, 'returns expected value' );
 
 	expected = less.statistic;
-	delta = abs( out.statistic - expected );
-	tol = 20.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. test statistic: '+out.statistic+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );
 
 	out = kstest( data, 'uniform', 0.0, 1.0, {
 		'alternative': 'greater'
@@ -297,14 +268,10 @@ tape( 'the function correctly computes a one-sided Kolmogorov-Smirnov test', fun
 
 	// Tested against R:
 	expected = greater.pvalue;
-	delta = abs( out.pValue - expected );
-	tol = 40.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. p-value: '+out.pValue+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.pValue, expected, 1 ), true, 'returns expected value' );
 
 	expected = greater.statistic;
-	delta = abs( out.statistic - expected );
-	tol = 80.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. test statistic: '+out.statistic+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );
 
 	t.end();
 });