docs: update namespace table of contents

PR-URL: #6108
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

lib/node_modules/@stdlib/stats/base/README.md

@@ -114,7 +114,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dstdevtk( N, correction, x, strideX )`][@stdlib/stats/base/dstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`dstdevwd( N, correction, x, strideX )`][@stdlib/stats/base/dstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.</span>
 -   <span class="signature">[`dstdevyc( N, correction, x, strideX )`][@stdlib/stats/base/dstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
--   <span class="signature">[`dsvariance( N, correction, x, stride )`][@stdlib/stats/base/dsvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
+-   <span class="signature">[`dsvariance( N, correction, x, strideX )`][@stdlib/stats/base/dsvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dsvariancepn( N, correction, x, strideX )`][@stdlib/stats/base/dsvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dvariance( N, correction, x, strideX )`][@stdlib/stats/base/dvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dvariancech( N, correction, x, strideX )`][@stdlib/stats/base/dvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>