diff --git a/lib/node_modules/@stdlib/stats/base/variance/README.md b/lib/node_modules/@stdlib/stats/base/variance/README.md
index 916d85c4a011..686d126ffdbe 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/README.md
+++ b/lib/node_modules/@stdlib/stats/base/variance/README.md
@@ -98,7 +98,7 @@ The use of the term `n-1` is commonly referred to as Bessel's correction. Note,
 var variance = require( '@stdlib/stats/base/variance' );
 ```
 
-#### variance( N, correction, x, stride )
+#### variance( N, correction, x, strideX )
 
 Computes the [variance][variance] of a strided array `x`.
 
@@ -115,17 +115,14 @@ The function has the following parameters:
 -   **N**: number of indexed elements.
 -   **correction**: degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [variance][variance] according to `N-c` where `c` corresponds to the provided degrees of freedom adjustment. When computing the [variance][variance] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the unbiased sample [variance][variance], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
 -   **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
--   **stride**: index increment for `x`.
+-   **strideX**: stride length for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [variance][variance] of every other element in `x`,
+The `N` and strideX parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [variance][variance] of every other element in `x`,
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ];
-var N = floor( x.length / 2 );
 
-var v = variance( N, 1, x, 2 );
+var v = variance( 4, 1, x, 2 );
 // returns 6.25
 ```
 
@@ -135,18 +132,15 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = variance( N, 1, x1, 2 );
+var v = variance( 4, 1, x1, 2 );
 // returns 6.25
 ```
 
-#### variance.ndarray( N, correction, x, stride, offset )
+#### variance.ndarray( N, correction, x, strideX, offsetX )
 
 Computes the [variance][variance] of a strided array using alternative indexing semantics.
 
@@ -160,17 +154,14 @@ var v = variance.ndarray( N, 1, x, 1, 0 );
 
 The function has the following additional parameters:
 
--   **offset**: starting index for `x`.
+-   **offsetX**: starting index for `x`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the [variance][variance] for every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the [variance][variance] for every other element in the strided array starting from the second element
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
-var N = floor( x.length / 2 );
 
-var v = variance.ndarray( N, 1, x, 2, 1 );
+var v = variance.ndarray( 4, 1, x, 2, 1 );
 // returns 6.25
 ```
 
@@ -183,6 +174,7 @@ var v = variance.ndarray( N, 1, x, 2, 1 );
 ## Notes
 
 -   If `N <= 0`, both functions return `NaN`.
+-   Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
 -   If `N - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment), both functions return `NaN`.
 -   Depending on the environment, the typed versions ([`dvariance`][@stdlib/stats/base/dvariance], [`svariance`][@stdlib/stats/base/svariance], etc.) are likely to be significantly more performant.
 
@@ -197,18 +189,12 @@ var v = variance.ndarray( N, 1, x, 2, 1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var variance = require( '@stdlib/stats/base/variance' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    x[ i ] = round( (randu()*100.0) - 50.0 );
-}
+var x = discreteUniform( 10, -50, 50, {
+    'dtype': 'float64'
+});
 console.log( x );
 
 var v = variance( x.length, 1, x, 1 );
@@ -250,6 +236,8 @@ console.log( v );
 
 [mdn-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array
 
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
 [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
 
 <!-- <related-links> -->
diff --git a/lib/node_modules/@stdlib/stats/base/variance/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/variance/benchmark/benchmark.js
index 03f80f2587bf..5575120b06ab 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/variance/benchmark/benchmark.js
@@ -21,11 +21,18 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var pkg = require( './../package.json' ).name;
-var variance = require( './../lib/variance.js' );
+var variance = require( './../lib/main.js' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
 
 
 // FUNCTIONS //
@@ -38,13 +45,7 @@ var variance = require( './../lib/variance.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = [];
-	for ( i = 0; i < len; i++ ) {
-		x.push( ( randu()*20.0 ) - 10.0 );
-	}
+	var x = uniform( len, -10, 10, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/variance/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/variance/benchmark/benchmark.ndarray.js
index b036eb6288c7..c02c1ba01b37 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/variance/benchmark/benchmark.ndarray.js
@@ -21,13 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var pkg = require( './../package.json' ).name;
 var variance = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -38,13 +45,7 @@ var variance = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = [];
-	for ( i = 0; i < len; i++ ) {
-		x.push( ( randu()*20.0 ) - 10.0 );
-	}
+	var x = uniform( len, -10, 10, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/variance/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/variance/docs/repl.txt
index ba1fd778e8d0..441defebff8c 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/variance/docs/repl.txt
@@ -1,9 +1,9 @@
 
-{{alias}}( N, correction, x, stride )
+{{alias}}( N, correction, x, strideX )
     Computes the variance of a strided array.
 
-    The `N` and `stride` parameters determine which elements in `x` are accessed
-    at runtime.
+    The `N` and stride parameters determine which elements in the strided array
+    are accessed are at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
@@ -30,8 +30,8 @@
     x: Array<number>|TypedArray
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
     Returns
     -------
@@ -45,11 +45,9 @@
     > {{alias}}( x.length, 1, x, 1 )
     ~4.3333
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, 1, x, stride )
+    > {{alias}}( 3, 1, x, 2 )
     ~4.3333
 
     // Using view offsets:
@@ -57,10 +55,11 @@
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
     > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
     > stride = 2;
-    > {{alias}}( N, 1, x1, stride )
+    > {{alias}}( 3, 1, x1, 2 )
     ~4.3333
 
-{{alias}}.ndarray( N, correction, x, stride, offset )
+
+{{alias}}.ndarray( N, correction, x, strideX, offsetX )
     Computes the variance of a strided array using alternative indexing
     semantics.
 
@@ -88,10 +87,10 @@
     x: Array<number>|TypedArray
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -108,8 +107,7 @@
 
     // Using offset parameter:
     > var x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, 1, x, 2, 1 )
+    > {{alias}}.ndarray( 3, 1, x, 2, 1 )
     ~4.3333
 
     See Also
diff --git a/lib/node_modules/@stdlib/stats/base/variance/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/variance/docs/types/index.d.ts
index 0f7fd64a4723..4a9b59282313 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/variance/docs/types/index.d.ts
@@ -20,7 +20,12 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { NumericArray } from '@stdlib/types/array';
+import { NumericArray, Collection, AccessorArrayLike } from '@stdlib/types/array';
+
+/**
+* Input array.
+*/
+type InputArray = NumericArray | Collection<number> | AccessorArrayLike<number>;
 
 /**
 * Interface describing `variance`.
@@ -32,7 +37,7 @@ interface Routine {
 	* @param N - number of indexed elements
 	* @param correction - degrees of freedom adjustment
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns variance
 	*
 	* @example
@@ -41,7 +46,7 @@ interface Routine {
 	* var v = variance( x.length, 1, x, 1 );
 	* // returns ~4.3333
 	*/
-	( N: number, correction: number, x: NumericArray, stride: number ): number;
+	( N: number, correction: number, x: InputArray, strideX: number ): number;
 
 	/**
 	* Computes the variance of a strided array using alternative indexing semantics.
@@ -49,8 +54,8 @@ interface Routine {
 	* @param N - number of indexed elements
 	* @param correction - degrees of freedom adjustment
 	* @param x - input array
-	* @param stride - stride length
-	* @param offset - starting index
+	* @param strideX - stride length
+	* @param offsetX - starting index
 	* @returns variance
 	*
 	* @example
@@ -68,7 +73,7 @@ interface Routine {
 * @param N - number of indexed elements
 * @param correction - degrees of freedom adjustment
 * @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns variance
 *
 * @example
diff --git a/lib/node_modules/@stdlib/stats/base/variance/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/variance/docs/types/test.ts
index 0cb8dc2eb070..09e2570ecc52 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/stats/base/variance/docs/types/test.ts
@@ -16,6 +16,7 @@
 * limitations under the License.
 */
 
+import AccessorArray = require( '@stdlib/array/base/accessor' );
 import variance = require( './index' );
 
 
@@ -26,6 +27,7 @@ import variance = require( './index' );
 	const x = new Float64Array( 10 );
 
 	variance( x.length, 1, x, 1 ); // $ExpectType number
+	variance( x.length, 1, new AccessorArray( x ), 1 ); // $ExpectType number
 }
 
 // The compiler throws an error if the function is provided a first argument which is not a number...
@@ -101,6 +103,7 @@ import variance = require( './index' );
 	const x = new Float64Array( 10 );
 
 	variance.ndarray( x.length, 1, x, 1, 0 ); // $ExpectType number
+	variance.ndarray( x.length, 1, new AccessorArray( x ), 1, 0 ); // $ExpectType number
 }
 
 // The compiler throws an error if the `ndarray` method is provided a first argument which is not a number...
diff --git a/lib/node_modules/@stdlib/stats/base/variance/examples/index.js b/lib/node_modules/@stdlib/stats/base/variance/examples/index.js
index 97e21fb066d8..ccf70cf0735d 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/variance/examples/index.js
@@ -18,18 +18,12 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var variance = require( './../lib' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	x[ i ] = round( (randu()*100.0) - 50.0 );
-}
+var x = discreteUniform( 10, -50, 50, {
+	'dtype': 'float64'
+});
 console.log( x );
 
 var v = variance( x.length, 1, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/variance/lib/accessors.js b/lib/node_modules/@stdlib/stats/base/variance/lib/accessors.js
new file mode 100644
index 000000000000..470dcc31b1ef
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/variance/lib/accessors.js
@@ -0,0 +1,84 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MAIN //
+
+/**
+* Computes the variance of a strided array using a one-pass textbook algorithm.
+*
+* @private
+* @param {PositiveInteger} N - number of indexed elements
+* @param {number} correction - degrees of freedom adjustment
+* @param {Object} x - input array object
+* @param {Collection} x.data - input array data
+* @param {Array<Function>} x.accessors - array element accessors
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
+* @returns {number} variance
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+*
+* var x = toAccessorArray( [ 1.0, -2.0, 2.0 ] );
+*
+* var v = variance( x.length, 1, arraylike2object( x ), 1, 0 );
+* // returns ~4.3333
+*/
+function variance( N, correction, x, strideX, offsetX ) {
+	var xbuf;
+	var get;
+	var S2;
+	var ix;
+	var S;
+	var v;
+	var n;
+	var i;
+
+	n = N - correction;
+	if ( N <= 0 || n <= 0.0 ) {
+		return NaN;
+	}
+
+	// Cache reference to array data:
+	xbuf = x.data;
+
+	// Cache a reference to the element accessor:
+	get = x.accessors[ 0 ];
+
+	if ( N === 1 || strideX === 0 ) {
+		return get( xbuf, offsetX );
+	}
+	ix = offsetX;
+	S2 = 0.0;
+	S = 0.0;
+	for ( i = 0; i < N; i++ ) {
+		v = get( xbuf, ix );
+		S2 += v * v;
+		S += v;
+		ix += strideX;
+	}
+	return (S2 - ((S/N)*S)) / n;
+}
+
+
+// EXPORTS //
+
+module.exports = variance;
diff --git a/lib/node_modules/@stdlib/stats/base/variance/lib/index.js b/lib/node_modules/@stdlib/stats/base/variance/lib/index.js
index 9e7433c88b87..b8aeab5584b3 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/variance/lib/index.js
@@ -29,7 +29,7 @@
 * var x = [ 1.0, -2.0, 2.0 ];
 * var N = x.length;
 *
-* var v = variance( N, 1, x, 1 );
+* var v = variance( x.length, 1, x, 1 );
 * // returns ~4.3333
 *
 * @example
@@ -39,13 +39,20 @@
 * var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
 * var N = floor( x.length / 2 );
 *
-* var v = variance.ndarray( N, 1, x, 2, 1 );
+* var v = variance.ndarray( 4, 1, x, 2, 1 );
 * // returns 6.25
 */
 
 // MODULES //
 
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
 var main = require( './main.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'ndarray', ndarray );
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/stats/base/variance/lib/main.js b/lib/node_modules/@stdlib/stats/base/variance/lib/main.js
index d7ff74d08f57..590146077561 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/variance/lib/main.js
@@ -20,14 +20,31 @@
 
 // MODULES //
 
-var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
-var variance = require( './variance.js' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
 var ndarray = require( './ndarray.js' );
 
 
 // MAIN //
 
-setReadOnly( variance, 'ndarray', ndarray );
+/**
+* Computes the variance of a strided array.
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {PositiveInteger} correction - degrees of freedom adjustment
+* @param {NumericArray} x - input array
+* @param {integer} strideX - stride length
+* @returns {number} variance
+*
+* @example
+* var x = [ 1.0, -2.0, 2.0 ];
+* var N = x.length;
+*
+* var v = variance( N, 1, x, 1 );
+* // returns ~4.3333
+*/
+function variance( N, correction, x, strideX ) {
+	return ndarray( N, correction, x, strideX, stride2offset( N, strideX ) );
+}
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/stats/base/variance/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/variance/lib/ndarray.js
index 07693d8e0141..bafb38abd6c0 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/variance/lib/ndarray.js
@@ -20,7 +20,8 @@
 
 // MODULES //
 
-var variancepn = require( '@stdlib/stats/base/variancepn' ).ndarray;
+var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+var accessors = require( './accessors.js' );
 
 
 // MAIN //
@@ -31,21 +32,62 @@ var variancepn = require( '@stdlib/stats/base/variancepn' ).ndarray;
 * @param {PositiveInteger} N - number of indexed elements
 * @param {number} correction - degrees of freedom adjustment
 * @param {NumericArray} x - input array
-* @param {integer} stride - stride length
-* @param {NonNegativeInteger} offset - starting index
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
 * @returns {number} variance
 *
 * @example
 * var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
-* var N = floor( x.length / 2 );
 *
-* var v = variance( N, 1, x, 2, 1 );
+* var v = variance( 4, 1, x, 2, 1 );
 * // returns 6.25
 */
-function variance( N, correction, x, stride, offset ) {
-	return variancepn( N, correction, x, stride, offset );
+function variance( N, correction, x, strideX, offsetX ) {
+	var delta2;
+	var delta;
+	var M2;
+	var mu;
+	var ix;
+	var v;
+	var n;
+	var o;
+	var i;
+
+	if ( N <= 0 ) {
+		return NaN;
+	}
+	if ( N === 1 || strideX === 0 ) {
+		if ( N - correction <= 0 ) {
+			return NaN;
+		}
+		return 0.0;
+	}
+	n = N - correction;
+	if ( n <= 0 ) {
+		return NaN;
+	}
+
+	o = arraylike2object( x );
+	if ( o.accessorProtocol ) {
+		return accessors( N, correction, o, strideX, offsetX );
+	}
+
+	ix = offsetX;
+	M2 = 0.0;
+	mu = 0.0;
+
+	for ( i = 0; i < N; i++ ) {
+		v = o.data[ ix ];
+		delta = v - mu;
+		mu += delta / ( i + 1 );
+		delta2 = v - mu;  // Calculate second delta after mean is updated
+		M2 += delta * delta2;
+		ix += strideX;
+	}
+
+	return M2 / n;
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/variance/lib/variance.js b/lib/node_modules/@stdlib/stats/base/variance/lib/variance.js
deleted file mode 100644
index f36a8f8494b7..000000000000
--- a/lib/node_modules/@stdlib/stats/base/variance/lib/variance.js
+++ /dev/null
@@ -1,51 +0,0 @@
-/**
-* @license Apache-2.0
-*
-* Copyright (c) 2020 The Stdlib Authors.
-*
-* Licensed under the Apache License, Version 2.0 (the "License");
-* you may not use this file except in compliance with the License.
-* You may obtain a copy of the License at
-*
-*    http://www.apache.org/licenses/LICENSE-2.0
-*
-* Unless required by applicable law or agreed to in writing, software
-* distributed under the License is distributed on an "AS IS" BASIS,
-* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-* See the License for the specific language governing permissions and
-* limitations under the License.
-*/
-
-'use strict';
-
-// MODULES //
-
-var variancepn = require( '@stdlib/stats/base/variancepn' );
-
-
-// MAIN //
-
-/**
-* Computes the variance of a strided array.
-*
-* @param {PositiveInteger} N - number of indexed elements
-* @param {number} correction - degrees of freedom adjustment
-* @param {NumericArray} x - input array
-* @param {integer} stride - stride length
-* @returns {number} variance
-*
-* @example
-* var x = [ 1.0, -2.0, 2.0 ];
-* var N = x.length;
-*
-* var v = variance( N, 1, x, 1 );
-* // returns ~4.3333
-*/
-function variance( N, correction, x, stride ) {
-	return variancepn( N, correction, x, stride );
-}
-
-
-// EXPORTS //
-
-module.exports = variance;
diff --git a/lib/node_modules/@stdlib/stats/base/variance/test/test.variance.js b/lib/node_modules/@stdlib/stats/base/variance/test/test.main.js
similarity index 81%
rename from lib/node_modules/@stdlib/stats/base/variance/test/test.variance.js
rename to lib/node_modules/@stdlib/stats/base/variance/test/test.main.js
index 59488887ff53..0df06e1e94aa 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/test/test.variance.js
+++ b/lib/node_modules/@stdlib/stats/base/variance/test/test.main.js
@@ -21,10 +21,10 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
-var variance = require( './../lib/variance.js' );
+var variance = require( '@stdlib/stats/base/variance/lib/main.js' );
 
 
 // TESTS //
@@ -59,12 +59,12 @@ tape( 'the function calculates the population variance of a strided array', func
 	t.end();
 });
 
-tape( 'the function calculates the sample variance of a strided array', function test( t ) {
+tape( 'the function calculates the sample variance of a strided array (accessors)', function test( t ) {
 	var x;
 	var v;
 
 	x = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ];
-	v = variance( x.length, 1, x, 1 );
+	v = variance( x.length, 1, toAccessorArray( x ), 1 );
 	t.strictEqual( v, 53.5/(x.length-1), 'returns expected value' );
 
 	x = [ -4.0, -4.0 ];
@@ -121,7 +121,6 @@ tape( 'if provided a `correction` parameter yielding `N-correction` less than or
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -136,15 +135,34 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		2.0
 	];
 
-	N = floor( x.length / 2 );
-	v = variance( N, 1, x, 2 );
+	v = variance( 4, 1, x, 2 );
+
+	t.strictEqual( v, 6.25, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a `stride` parameter (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	];
+
+	v = variance( 4, 1, toAccessorArray( x ), 2 );
 
 	t.strictEqual( v, 6.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -159,8 +177,28 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	];
 
-	N = floor( x.length / 2 );
-	v = variance( N, 1, x, -2 );
+	v = variance( 4, 1, x, -2 );
+
+	t.strictEqual( v, 6.25, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	];
+
+	v = variance( 4, 1, toAccessorArray( x ), -2 );
 
 	t.strictEqual( v, 6.25, 'returns expected value' );
 	t.end();
@@ -181,7 +219,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`',
 tape( 'the function supports view offsets', function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float64Array([
@@ -197,9 +234,8 @@ tape( 'the function supports view offsets', function test( t ) {
 	]);
 
 	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = variance( N, 1, x1, 2 );
+	v = variance( 4, 1, x1, 2 );
 	t.strictEqual( v, 6.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/variance/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/variance/test/test.ndarray.js
index 086e610de450..4f3781db3f41 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/variance/test/test.ndarray.js
@@ -21,7 +21,7 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var variance = require( './../lib/ndarray.js' );
 
@@ -34,6 +34,25 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
+tape( 'the function calculates the sample variance of a strided array (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ];
+	v = variance( x.length, 1, toAccessorArray( x ), 1, 0 );
+	t.strictEqual( v, 53.5/(x.length-1), 'returns expected value' );
+
+	x = [ -4.0, -4.0 ];
+	v = variance( x.length, 1, toAccessorArray( x ), 1, 0 );
+	t.strictEqual( v, 0.0, 'returns expected value' );
+
+	x = [ NaN, 4.0 ];
+	v = variance( x.length, 1, toAccessorArray( x ), 1, 0 );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	t.end();
+});
+
 tape( 'the function has an arity of 5', function test( t ) {
 	t.strictEqual( variance.length, 5, 'has expected arity' );
 	t.end();