diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/test/test.cdf.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/test/test.cdf.js
index e030c38ca529..3a9191a5aedc 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/test/test.cdf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/test/test.cdf.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 cdf = require( './../lib' );
 
 
@@ -93,9 +92,7 @@ tape( 'if provided `sigma` equals `0`, the function evaluates a degenerate distr
 
 tape( 'the function evaluates the cdf for `x` given small scale parameter `sigma`', function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -105,22 +102,14 @@ tape( 'the function evaluates the cdf for `x` given small scale parameter `sigma
 	sigma = smallScale.sigma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = cdf( x[i], sigma[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[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. x: '+x[ 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();
 });
 
 tape( 'the function evaluates the cdf for `x` given medium scale parameter `sigma`', function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -130,22 +119,14 @@ tape( 'the function evaluates the cdf for `x` given medium scale parameter `sigm
 	sigma = mediumScale.sigma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = cdf( x[i], sigma[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[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. x: '+x[ 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();
 });
 
 tape( 'the function evaluates the cdf for `x` given large scale parameter `sigma`', function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -155,13 +136,7 @@ tape( 'the function evaluates the cdf for `x` given large scale parameter `sigma
 	sigma = largeScale.sigma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = cdf( x[i], sigma[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[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. x: '+x[ 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/rayleigh/cdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/test/test.factory.js
index 8246d54764d4..8b7cecf1cdcf 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/test/test.factory.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 factory = require( './../lib/factory.js' );
 
 
@@ -126,10 +125,8 @@ tape( 'if `sigma` equals `0`, the created function evaluates a degenerate distri
 
 tape( 'the created function evaluates the cdf for `x` given small scale parameter `sigma`', function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
 	var cdf;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -140,23 +137,15 @@ tape( 'the created function evaluates the cdf for `x` given small scale paramete
 	for ( i = 0; i < x.length; i++ ) {
 		cdf = factory( sigma[i] );
 		y = cdf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[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. x: '+x[ 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();
 });
 
 tape( 'the created function evaluates the cdf for `x` given medium scale parameter `sigma`', function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
 	var cdf;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -167,23 +156,15 @@ tape( 'the created function evaluates the cdf for `x` given medium scale paramet
 	for ( i = 0; i < x.length; i++ ) {
 		cdf = factory( sigma[i] );
 		y = cdf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[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. x: '+x[ 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();
 });
 
 tape( 'the created function evaluates the cdf for `x` given large scale parameter `sigma`', function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
 	var cdf;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -194,13 +175,7 @@ tape( 'the created function evaluates the cdf for `x` given large scale paramete
 	for ( i = 0; i < x.length; i++ ) {
 		cdf = factory( sigma[i] );
 		y = cdf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[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. x: '+x[ 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/rayleigh/cdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/test/test.native.js
index 098c443ef734..88e101001747 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/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 //
@@ -102,9 +101,7 @@ tape( 'if provided `sigma` equals `0`, the function evaluates a degenerate distr
 
 tape( 'the function evaluates the cdf for `x` given small scale parameter `sigma`', opts, function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -114,22 +111,14 @@ tape( 'the function evaluates the cdf for `x` given small scale parameter `sigma
 	sigma = smallScale.sigma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = cdf( x[i], sigma[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[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. x: '+x[ 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();
 });
 
 tape( 'the function evaluates the cdf for `x` given medium scale parameter `sigma`', opts, function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -139,22 +128,14 @@ tape( 'the function evaluates the cdf for `x` given medium scale parameter `sigm
 	sigma = mediumScale.sigma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = cdf( x[i], sigma[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[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. x: '+x[ 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();
 });
 
 tape( 'the function evaluates the cdf for `x` given large scale parameter `sigma`', opts, function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var i;
 	var x;
 	var y;
@@ -164,13 +145,7 @@ tape( 'the function evaluates the cdf for `x` given large scale parameter `sigma
 	sigma = largeScale.sigma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = cdf( x[i], sigma[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[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. x: '+x[ 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();
 });