diff --git a/lib/node_modules/@stdlib/stats/pcorrtest/test/test.js b/lib/node_modules/@stdlib/stats/pcorrtest/test/test.js
index 6946282330b2..953ea2fa45b3 100644
--- a/lib/node_modules/@stdlib/stats/pcorrtest/test/test.js
+++ b/lib/node_modules/@stdlib/stats/pcorrtest/test/test.js
@@ -21,9 +21,8 @@
 // MODULES //
 
 var tape = require( 'tape' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var contains = require( '@stdlib/assert/contains' );
-var abs = require( '@stdlib/math/base/special/abs' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var pcorrtest = require( './../lib' );
 
 
@@ -177,9 +176,7 @@ tape( 'the function throws an error if provided arrays with less than four obser
 
 tape( 'the function by default performs a two-sided t-test for the Pearson correlation between paired samples', function test( t ) {
 	var expected;
-	var delta;
 	var out;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -190,29 +187,21 @@ tape( 'the function by default performs a two-sided t-test for the Pearson corre
 
 	// Tested against R:
 	expected = twosided.pValue;
-	delta = abs( out.pValue - expected );
-	tol = 1e-6 * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. p-value: '+out.pValue+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.pValue, expected, 167809046 ), true, 'returns expected value' );
 
 	expected = twosided.statistic;
-	delta = abs( out.statistic - expected );
-	tol = 10.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. statistic: '+out.statistic+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );
 
 	expected = twosided.ci;
 	for ( i = 0; i < 2; i++ ) {
-		delta = abs( out.ci[ i ] - expected[ i ]);
-		tol = 20.0 * EPS * abs( expected[ i ] );
-		t.ok( delta <= tol, 'within tolerance. CI['+i+']: '+out.ci[ i ]+'. E: '+expected[ i ]+' Δ: '+delta+'. tol: '+tol );
+		t.strictEqual( isAlmostSameValue( out.ci[ i ], expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function performs a one-sided t-test for the Pearson correlation between paired samples (when alternative is `less`)', function test( t ) {
 	var expected;
-	var delta;
 	var out;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -225,29 +214,21 @@ tape( 'the function performs a one-sided t-test for the Pearson correlation betw
 
 	// Tested against R:
 	expected = less.pValue;
-	delta = abs( out.pValue - expected );
-	tol = 100 * 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 = less.statistic;
-	delta = abs( out.statistic - expected );
-	tol = 10.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. statistic: '+out.statistic+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );
 
 	expected = less.ci;
 	for ( i = 0; i < 2; i++ ) {
-		delta = abs( out.ci[ i ] - expected[ i ]);
-		tol = 10.0 * EPS * abs( expected[ i ] );
-		t.ok( delta <= tol, 'within tolerance. CI['+i+']: '+out.ci[ i ]+'. E: '+expected[ i ]+' Δ: '+delta+'. tol: '+tol );
+		t.strictEqual( isAlmostSameValue( out.ci[ i ], expected[ i ], 3 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function performs a one-sided t-test for the Pearson correlation between paired samples (when alternative is `greater`)', function test( t ) {
 	var expected;
-	var delta;
 	var out;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -260,20 +241,14 @@ tape( 'the function performs a one-sided t-test for the Pearson correlation betw
 
 	// Tested against R:
 	expected = greater.pValue;
-	delta = abs( out.pValue - expected );
-	tol = 100 * 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 = greater.statistic;
-	delta = abs( out.statistic - expected );
-	tol = 10.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. statistic: '+out.statistic+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 2 ), true, 'returns expected value' );
 
 	expected = greater.ci;
 	for ( i = 0; i < 2; i++ ) {
-		delta = abs( out.ci[ i ] - expected[ i ]);
-		tol = 10.0 * EPS * abs( expected[ i ] );
-		t.ok( delta <= tol, 'within tolerance. CI['+i+']: '+out.ci[ i ]+'. E: '+expected[ i ]+' Δ: '+delta+'. tol: '+tol );
+		t.strictEqual( isAlmostSameValue( out.ci[ i ], expected[ i ], 3 ), true, 'returns expected value' );
 	}
 	t.end();
 });