diff --git a/lib/node_modules/@stdlib/stats/vartest/test/test.js b/lib/node_modules/@stdlib/stats/vartest/test/test.js
index c2fb0c7d2cfc..222639e3dc06 100644
--- a/lib/node_modules/@stdlib/stats/vartest/test/test.js
+++ b/lib/node_modules/@stdlib/stats/vartest/test/test.js
@@ -21,10 +21,9 @@
 // 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 PINF = require( '@stdlib/constants/float64/pinf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var vartest = require( './../lib' );
 
 
@@ -155,9 +154,7 @@ tape( 'the function throws an error if the `alpha` option is a numeric value out
 
 tape( 'the function by default performs a two-sample F-test', function test( t ) {
 	var expected;
-	var delta;
 	var out;
-	var tol;
 	var a;
 	var b;
 
@@ -167,33 +164,23 @@ tape( 'the function by default performs a two-sample F-test', function test( t )
 
 	// Tested against R:
 	expected = twosided.pValue;
-	delta = abs( out.pValue - expected );
-	tol = 250.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. a: ['+a+']. b: ['+b+']. pValue: '+out.pValue+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.pValue, expected, 253 ), true, 'returns expected value' );
 
 	expected = twosided.statistic;
-	delta = abs( out.statistic - expected );
-	tol = 1.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. a: ['+a+']. b: ['+b+']. statistic: '+out.statistic+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 1 ), true, 'returns expected value' );
 
 	expected = twosided.lower;
-	delta = abs( out.ci[0] - expected );
-	tol = 5.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. a: ['+a+']. b: ['+b+']. lower CI: '+out.ci[0]+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.ci[0], expected, 8 ), true, 'returns expected value' );
 
 	expected = twosided.upper;
-	delta = abs( out.ci[1] - expected );
-	tol = 10.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. a: ['+a+']. b: ['+b+']. upper CI: '+out.ci[1]+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.ci[1], expected, 9 ), true, 'returns expected value' );
 
 	t.end();
 });
 
 tape( 'the function performs a two-sample F-test assuming the true ratio of the population variances being equal to the value of the `ratio` option', function test( t ) {
 	var expected;
-	var delta;
 	var out;
-	var tol;
 	var a;
 	var b;
 
@@ -207,28 +194,20 @@ tape( 'the function performs a two-sample F-test assuming the true ratio of the
 	t.strictEqual( out.pValue, diff.pValue, 'returns correct p-value' );
 
 	expected = diff.statistic;
-	delta = abs( out.statistic - expected );
-	tol = 1.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. a: ['+a+']. b: ['+b+']. statistic: '+out.statistic+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 1 ), true, 'returns expected value' );
 
 	expected = diff.lower;
-	delta = abs( out.ci[0] - expected );
-	tol = 6.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. a: ['+a+']. b: ['+b+']. lower CI: '+out.ci[0]+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.ci[0], expected, 8 ), true, 'returns expected value' );
 
 	expected = diff.upper;
-	delta = abs( out.ci[1] - expected );
-	tol = 12.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. a: ['+a+']. b: ['+b+']. upper CI: '+out.ci[1]+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.ci[1], expected, 9 ), true, 'returns expected value' );
 
 	t.end();
 });
 
 tape( 'the function performs a one-sided two-sample F-test', function test( t ) {
 	var expected;
-	var delta;
 	var out;
-	var tol;
 	var a;
 	var b;
 
@@ -240,21 +219,15 @@ tape( 'the function performs a one-sided two-sample F-test', function test( t )
 
 	// Tested against R:
 	expected = less.pValue;
-	delta = abs( out.pValue - expected );
-	tol = 5.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. direction: less. a: ['+a+']. b: ['+b+']. pValue: '+out.pValue+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.pValue, expected, 4 ), true, 'returns expected value' );
 
 	expected = less.statistic;
-	delta = abs( out.statistic - expected );
-	tol = 1.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. direction: less. a: ['+a+']. b: ['+b+']. statistic: '+out.statistic+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 1 ), true, 'returns expected value' );
 
 	t.strictEqual( out.ci[0], 0.0, 'returns 0 as lower bound of CI' );
 
 	expected = less.upper;
-	delta = abs( out.ci[1] - expected );
-	tol = 5.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. direction: less. a: ['+a+']. b: ['+b+']. upper CI: '+out.ci[1]+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.ci[1], expected, 8 ), true, 'returns expected value' );
 
 	out = vartest( a, b, {
 		'alternative': 'greater'
@@ -262,19 +235,13 @@ tape( 'the function performs a one-sided two-sample F-test', function test( t )
 
 	// Tested against R:
 	expected = greater.pValue;
-	delta = abs( out.pValue - expected );
-	tol = 250.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. direction: greater. a: ['+a+']. b: ['+b+']. pValue: '+out.pValue+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.pValue, expected, 253 ), true, 'returns expected value' );
 
 	expected = greater.statistic;
-	delta = abs( out.statistic - expected );
-	tol = 1.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. direction: greater. a: ['+a+']. b: ['+b+']. statistic: '+out.statistic+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.statistic, expected, 1 ), true, 'returns expected value' );
 
 	expected = greater.lower;
-	delta = abs( out.ci[0] - expected );
-	tol = 1.0 * EPS * abs( expected );
-	t.ok( delta <= tol, 'within tolerance. direction: greater. a: ['+a+']. b: ['+b+']. lower CI: '+out.ci[0]+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
+	t.strictEqual( isAlmostSameValue( out.ci[0], expected, 1 ), true, 'returns expected value' );
 
 	t.strictEqual( out.ci[1], PINF, 'returns Infinity as upper bound of CI' );