diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/skewness/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/triangular/skewness/test/test.native.js
index 87b7cbf6ede3..9018ca14e2dc 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/triangular/skewness/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/triangular/skewness/test/test.native.js
@@ -93,7 +93,9 @@ tape( 'the function returns the skewness of a triangular distribution', opts, fu
 	c = data.c;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = skewness( a[ i ], b[ i ], c[ i ] );
-		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
+
+		// Note: large tolerance needed due to FMA (fused multiply-add) operations. With CFLAGS="-ffp-contract=off", the tolerance can be 0 ULPs.
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 96000 ), true, 'returns expected value' );
 	}
 	t.end();
 });