docs: update namespace table of contents

PR-URL: #6961
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

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

@@ -149,7 +149,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`snanvariancetk( N, correction, x, stride )`][@stdlib/stats/base/snanvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`snanvariancewd( N, correction, x, stride )`][@stdlib/stats/base/snanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.</span>
 -   <span class="signature">[`snanvarianceyc( N, correction, x, stride )`][@stdlib/stats/base/snanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
--   <span class="signature">[`sstdev( N, correction, x, stride )`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
+-   <span class="signature">[`sstdev( N, correction, x, strideX )`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
 -   <span class="signature">[`sstdevwd( N, correction, x, stride )`][@stdlib/stats/base/sstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.</span>
 -   <span class="signature">[`stdev( N, correction, x, stride )`][@stdlib/stats/base/stdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array.</span>
 -   <span class="signature">[`stdevch( N, correction, x, stride )`][@stdlib/stats/base/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>