diff --git a/lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/test/test.js
index a5c868f6c4ae..bb247fa5b619 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/test/test.js
@@ -75,7 +75,7 @@ tape( 'the function returns the skewness of a bradford distribution', function t
 		/*
 		* TODO: the significant divergence from SciPy appears to stem from the computation of the natural log. We should follow up to ensure that our ln implementation is sufficiently accurate.
 		*/
-		t.strictEqual( isAlmostSameValue( y, expected[i], 36250 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 36250 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/test/test.native.js
index 19ca292dad58..633d79d2ad01 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/test/test.native.js
@@ -84,7 +84,7 @@ tape( 'the function returns the skewness of a Bradford distribution', opts, func
 		/*
 		* TODO: the significant divergence from SciPy appears to stem from the computation of the natural log. We should follow up to ensure that our ln implementation is sufficiently accurate.
 		*/
-		t.strictEqual( isAlmostSameValue( y, expected[i], 36250 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 36250 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.factory.js
index e2e258436041..d9927da27582 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.factory.js
@@ -151,7 +151,7 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
 	for ( i = 0; i < x.length; i++ ) {
 		logcdf = factory( x0[i], gamma[i] );
 		y = logcdf( x[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 9 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -172,7 +172,7 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
 	for ( i = 0; i < x.length; i++ ) {
 		logcdf = factory( x0[i], gamma[i] );
 		y = logcdf( x[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 12 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 12 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -193,7 +193,7 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
 	for ( i = 0; i < x.length; i++ ) {
 		logcdf = factory( x0[i], gamma[i] );
 		y = logcdf( x[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 6 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.logcdf.js b/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.logcdf.js
index fd8fbc36b36c..af69de1c3a99 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.logcdf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.logcdf.js
@@ -106,7 +106,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (large `
 	gamma = largeGamma.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], x0[i], gamma[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 9 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -125,7 +125,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0
 	gamma = negativeMedian.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], x0[i], gamma[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 12 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 12 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -144,7 +144,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0
 	gamma = positiveMedian.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], x0[i], gamma[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 6 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.native.js
index 95d277a5658f..bcb7df492123 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.native.js
@@ -115,7 +115,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (large `
 	gamma = largeGamma.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], x0[i], gamma[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 9 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -134,7 +134,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0
 	gamma = negativeMedian.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], x0[i], gamma[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 12 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 12 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -153,7 +153,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0
 	gamma = positiveMedian.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], x0[i], gamma[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 6 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mean/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mean/test/test.js
index 0c4cd25f5d5f..b99a144c0e85 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mean/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mean/test/test.js
@@ -72,7 +72,7 @@ tape( 'the function returns the expected value of a half-normal distribution', f
 
 	for ( i = 0; i < sigma.length; i++ ) {
 		y = mean( sigma[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 0 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mean/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mean/test/test.native.js
index e63280b963f3..913e1a94945f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mean/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mean/test/test.native.js
@@ -77,7 +77,7 @@ tape( 'the function returns the expected value of a half-normal distribution', o
 
 	for ( i = 0; i < sigma.length; i++ ) {
 		y = mean( sigma[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 0 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.factory.js
index 0fa04ab19bd5..4547d6c56b56 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.factory.js
@@ -167,7 +167,7 @@ tape( 'the created function evaluates the quantile for `p` given a small range `
 	for ( i = 0; i < p.length; i++ ) {
 		quantile = factory( a[i], b[i], c[i] );
 		y = quantile( p[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -190,7 +190,7 @@ tape( 'the created function evaluates the quantile for `p` given a medium range
 	for ( i = 0; i < p.length; i++ ) {
 		quantile = factory( a[i], b[i], c[i] );
 		y = quantile( p[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -213,7 +213,7 @@ tape( 'the created function evaluates the quantile for `p` given a large range `
 	for ( i = 0; i < p.length; i++ ) {
 		quantile = factory( a[i], b[i], c[i] );
 		y = quantile( p[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.native.js
index 9fb14594adcd..68fa721acde3 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.native.js
@@ -130,7 +130,7 @@ tape( 'the function evaluates the quantile for `x` given a small range `b - a`',
 	c = smallRange.c;
 	for ( i = 0; i < p.length; i++ ) {
 		y = quantile( p[i], a[i], b[i], c[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -151,7 +151,7 @@ tape( 'the function evaluates the quantile for `x` given a medium range `b - a`'
 	c = mediumRange.c;
 	for ( i = 0; i < p.length; i++ ) {
 		y = quantile( p[i], a[i], b[i], c[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -172,7 +172,7 @@ tape( 'the function evaluates the quantile for `x` given a large range `b - a`',
 	c = largeRange.c;
 	for ( i = 0; i < p.length; i++ ) {
 		y = quantile( p[i], a[i], b[i], c[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.quantile.js b/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.quantile.js
index f4ec462a87f0..ddf6986a4477 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.quantile.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.quantile.js
@@ -121,7 +121,7 @@ tape( 'the function evaluates the quantile for `x` given a small range `b - a`',
 	c = smallRange.c;
 	for ( i = 0; i < p.length; i++ ) {
 		y = quantile( p[i], a[i], b[i], c[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -142,7 +142,7 @@ tape( 'the function evaluates the quantile for `x` given a medium range `b - a`'
 	c = mediumRange.c;
 	for ( i = 0; i < p.length; i++ ) {
 		y = quantile( p[i], a[i], b[i], c[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -163,7 +163,7 @@ tape( 'the function evaluates the quantile for `x` given a large range `b - a`',
 	c = largeRange.c;
 	for ( i = 0; i < p.length; i++ ) {
 		y = quantile( p[i], a[i], b[i], c[i] );
-		t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });