chore: stuff from code review

Author: Neerajpathak07

lib/node_modules/@stdlib/stats/base/dists/bernoulli/mgf/README.md

@@ -172,7 +172,7 @@ Evaluates the moment-generating function (MGF) for a Bernoulli distribution with
 
 ```c
 double y = stdlib_base_dists_bernoulli_mgf( 0.2, 0.5 );
-// returns ~1.111
+// returns 1.111
 ```
 
 The function accepts the following arguments:
@@ -222,7 +222,7 @@ int main( void ) {
         t = random_uniform( -2.0, 2.0 );
         p = random_uniform( 0.0, 1.0 );
         y = stdlib_base_dists_bernoulli_mgf( t, p );
-        printf( "t: %lf , p: %1f, M_X(t;p): %lf\n", t, p , y );
+        printf( "t: %lf. p: %1f. M_X(t;p): %lf\n", t, p , y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/bernoulli/mgf/benchmark/benchmark.js

@@ -38,13 +38,11 @@ bench( pkg, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		p[ i ] = uniform( 0.0, 1.0 );
-	}
 	t = new Float64Array( len );
+	p = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		t[ i ] = uniform( 0.0, 3.0 );
+		p[ i ] = uniform( 0.0, 1.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/bernoulli/mgf/benchmark/benchmark.native.js

@@ -47,13 +47,11 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		p[ i ] = uniform( 0.0, 1.0 );
-	}
+	t = new Float64Array( len );
 	p = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		t[ i ] = uniform( 0.0, 3.0 );
+		p[ i ] = uniform( 0.0, 1.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/bernoulli/mgf/benchmark/c/benchmark.c

@@ -99,11 +99,9 @@ static double benchmark( void ) {
 	double x;
 	int i;
 
-	for ( i = 0; i < 100; i++ ) {
-		p[ i ] = random_uniform( 0.0, 1.0 );
-	}
 	for ( i = 0; i < 100; i++ ) {
 		t[ i ] = random_uniform( 0.0, 3.0 );
+		p[ i ] = random_uniform( 0.0, 1.0 );
 	}
 
 	x = tic();

lib/node_modules/@stdlib/stats/base/dists/bernoulli/mgf/examples/c/example.c

@@ -35,6 +35,6 @@ int main( void ) {
 		t = random_uniform( -2.0, 2.0 );
 		p = random_uniform( 0.0, 1.0 );
 		y = stdlib_base_dists_bernoulli_mgf( t, p );
-		printf( "t: %lf , p: %1f, M_X(t;p): %lf\n", t, p , y );
+		printf( "t: %lf. p: %1f. M_X(t;p): %lf\n", t, p , y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/bernoulli/mgf/src/main.c

@@ -25,11 +25,11 @@
 *
 * @param t    input value
 * @param p    success probability
-* @returns    evaluated MGF
+* @return     evaluated MGF
 *
 * @example
 * double y = stdlib_base_dists_bernoulli_mgf( 0.2, 0.5 );
-* // returns ~1.111
+* // returns 1.111
 */
 double stdlib_base_dists_bernoulli_mgf( const double t, const double p ) {
 	if (