diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dmeanors/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanors/README.md
index 4621173c2388..a7ed2d5272be 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dmeanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanors/README.md
@@ -204,49 +204,49 @@ double stdlib_stats_dmeanors( const struct ndarray *arrays[] );
 #include <stdio.h>
 
 int main( void ) {
-     // Create a data buffer:
-     const double data[] = { 1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0 };
+    // Create a data buffer:
+    const double data[] = { 1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0 };
 
-     // Specify the number of array dimensions:
-     const int64_t ndims = 1;
+    // Specify the number of array dimensions:
+    const int64_t ndims = 1;
 
      // Specify the array shape:
-     int64_t shape[] = { 4 };
+    int64_t shape[] = { 4 };
 
-     // Specify the array strides:
-     int64_t strides[] = { 2*STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT };
+    // Specify the array strides:
+    int64_t strides[] = { 2*STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT };
 
-     // Specify the byte offset:
-     const int64_t offset = 0;
+    // Specify the byte offset:
+    const int64_t offset = 0;
 
-     // Specify the array order:
-     const enum STDLIB_NDARRAY_ORDER order = STDLIB_NDARRAY_ROW_MAJOR;
+    // Specify the array order:
+    const enum STDLIB_NDARRAY_ORDER order = STDLIB_NDARRAY_ROW_MAJOR;
 
-     // Specify the index mode:
-     const enum STDLIB_NDARRAY_INDEX_MODE imode = STDLIB_NDARRAY_INDEX_ERROR;
+    // Specify the index mode:
+    const enum STDLIB_NDARRAY_INDEX_MODE imode = STDLIB_NDARRAY_INDEX_ERROR;
 
-     // Specify the subscript index modes:
-     int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR };
-     const int64_t nsubmodes = 1;
+    // Specify the subscript index modes:
+    int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR };
+    const int64_t nsubmodes = 1;
 
-     // Create an ndarray:
-     struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)data, ndims, shape, strides, offset, order, imode, nsubmodes, submodes );
-     if ( x == NULL ) {
-          fprintf( stderr, "Error allocating memory.\n" );
-          exit( 1 );
-     }
+    // Create an ndarray:
+    struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)data, ndims, shape, strides, offset, order, imode, nsubmodes, submodes );
+    if ( x == NULL ) {
+        fprintf( stderr, "Error allocating memory.\n" );
+        exit( 1 );
+    }
 
-     // Define a list of ndarrays:
-     const struct ndarray *arrays[] = { x };
+    // Define a list of ndarrays:
+    const struct ndarray *arrays[] = { x };
 
-     // Compute the arithmetic mean value:
-     double v = stdlib_stats_dmeanors( arrays );
+    // Compute the arithmetic mean value:
+    double v = stdlib_stats_dmeanors( arrays );
 
-     // Print the result:
-     printf( "mean: %lf\n", v );
+    // Print the result:
+    printf( "mean: %lf\n", v );
 
-     // Free allocated memory:
-     stdlib_ndarray_free( x );
+    // Free allocated memory:
+    stdlib_ndarray_free( x );
 }
 ```
 
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanstdevch/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/dnanstdevch/benchmark/benchmark.js
index 7d5c4db9d893..02bbd47bbe39 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanstdevch/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanstdevch/benchmark/benchmark.js
@@ -86,8 +86,8 @@ function createBenchmark( len ) {
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
 			v = dnanstdevch( [ x, correction ] );
-			if ( typeof v !== 'number' ) {
-				b.fail( 'should return a number' );
+			if ( isnan( v ) ) {
+				b.fail( 'should not return NaN' );
 			}
 		}
 		b.toc();
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmskminabs/README.md b/lib/node_modules/@stdlib/stats/strided/snanmskminabs/README.md
index 19c93c31cb6c..7f8f910afba3 100644
--- a/lib/node_modules/@stdlib/stats/strided/snanmskminabs/README.md
+++ b/lib/node_modules/@stdlib/stats/strided/snanmskminabs/README.md
@@ -61,7 +61,7 @@ The function has the following parameters:
 -   **mask**: mask [`Uint8Array`][@stdlib/array/uint8]. If a `mask` array element is `0`, the corresponding element in `x` is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in `x` is considered invalid/missing and **excluded** from computation.
 -   **strideMask**: stride length for `mask`.
 
-The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the minimum absolute value of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the minimum absolute value of every other element in `x`,
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );