fix: fixing Readme

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Author: Vinit-Pandit

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

@@ -251,15 +251,15 @@ The function accepts the following arguments:
 -   **N**: `[in] CBLAS_INT` number of indexed elements.
 -   **correction**: `[in] float` 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**: `[in] float*` input array.
--   **strideX**: stride length for `x`.
+-   **strideX**: `[in] CBLAS_INT` stride length for `x`.
 
 ```c
 float stdlib_strided_svarianceyc( const CBLAS_INT N, const float correction, const float *X, const CBLAS_INT strideX );
 ```
 
 #### stdlib_strided_svarianceyc_ndarray( N, correction, \*X, strideX, offsetX )
 
-Computes the [variance][variance] of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer and alternative indexing semantics.
+Computes the [variance][variance] of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer and using alternative indexing semantics.
 
 ```c
 const float x[] = { 1.0f, -2.0f, 2.0f };