chore: updated according to code review

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Author: 0PrashantYadav0

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

@@ -206,6 +206,7 @@ function rand() {
 }
 
 var x = filledarrayBy( 10, 'float64', rand );
+console.log( x );
 
 var v = dnanvariancepn( x.length, 1, x, 1 );
 console.log( v );

lib/node_modules/@stdlib/stats/base/dnanvariancepn/docs/repl.txt

@@ -63,8 +63,8 @@
 
 {{alias}}.ndarray( N, correction, x, strideX, offsetX )
     Computes the variance of a double-precision floating-point strided array
-    ignoring `NaN` values and using a one-pass trial mean algorithm and
-    alternative indexing semantics.
+    ignoring `NaN` values and using a two-pass algorithm and alternative
+    indexing semantics.
 
     While typed array views mandate a view offset based on the underlying
     buffer, the `offset` parameter supports indexing semantics based on a

lib/node_modules/@stdlib/stats/base/dnanvariancepn/examples/index.js

@@ -31,6 +31,7 @@ function rand() {
 }
 
 var x = filledarrayBy( 10, 'float64', rand );
+console.log( x );
 
 var v = dnanvariancepn( x.length, 1, x, 1 );
 console.log( v );