diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index 342bdd754a97..720fbeb6b43e 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -84,7 +84,7 @@ The namespace contains the following statistical functions:
- [`meankbn( N, x, stride )`][@stdlib/stats/base/meankbn]: calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.
- [`meankbn2( N, x, stride )`][@stdlib/stats/base/meankbn2]: calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška algorithm.
- [`meanors( N, x, stride )`][@stdlib/stats/base/meanors]: calculate the arithmetic mean of a strided array using ordinary recursive summation.
-- [`meanpn( N, x, stride )`][@stdlib/stats/base/meanpn]: calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.
+- [`meanpn( N, x, strideX )`][@stdlib/stats/base/meanpn]: calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.
- [`meanpw( N, x, stride )`][@stdlib/stats/base/meanpw]: calculate the arithmetic mean of a strided array using pairwise summation.
- [`meanwd( N, x, strideX )`][@stdlib/stats/base/meanwd]: calculate the arithmetic mean of a strided array using Welford's algorithm.
- [`mediansorted( N, x, strideX )`][@stdlib/stats/base/mediansorted]: calculate the median value of a sorted strided array.