chore: apply suggestions from code review

Signed-off-by: Philipp Burckhardt <pburckhardt@outlook.com>

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/normal/quantile/README.md

@@ -182,9 +182,9 @@ for ( i = 0; i < 10; i++ ) {
 #include "stdlib/stats/base/dists/normal/quantile.h"
 ```
 
-#### stdlib_base_dists_normal_quantile( x, mu, sigma )
+#### stdlib_base_dists_normal_quantile( p, mu, sigma )
 
-Returns the [quantile function][quantile-function] for a [normal][normal-distribution] distribution with parameters `mu` (mean) and `sigma` (standard deviation).
+Evaluates the [quantile function][quantile-function] for a [normal][normal-distribution] distribution with parameters `mu` (mean) and `sigma` (standard deviation).
 
 ```c
 double y = stdlib_base_dists_normal_quantile( 0.8, 0.0, 1.0 );
@@ -231,9 +231,9 @@ static double random_uniform( const double min, const double max ) {
 }
 
 int main( void ) {
-    double p;
-    double mu;
     double sigma;
+    double mu;
+    double p;
     double y;
     int i;
 

lib/node_modules/@stdlib/stats/base/dists/normal/quantile/benchmark/benchmark.js

@@ -46,7 +46,7 @@ bench( pkg, function benchmark( b ) {
 	for ( i = 0; i < len; i++ ) {
 		p[ i ] = uniform( 0.0, 1.0 );
 		mu[ i ] = uniform( -50.0, 50.0 );
-		sigma[ i ] = uniform( 0.0, 20.0 ) + EPS;
+		sigma[ i ] = uniform( EPS, 20.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/normal/quantile/benchmark/c/benchmark.c

@@ -104,7 +104,7 @@ static double benchmark( void ) {
 	for ( i = 0; i < 100; i++ ) {
 		p[ i ] = random_uniform( 0.0, 1.0 );
 		mu[ i ] = random_uniform( -50.0, 50.0 );
-		sigma[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		sigma[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/normal/quantile/examples/c/example.c

@@ -27,16 +27,16 @@ static double random_uniform( const double min, const double max ) {
 }
 
 int main( void ) {
-	double p;
-	double mu;
 	double sigma;
+	double mu;
+	double p;
 	double y;
 	int i;
 
 	for ( i = 0; i < 10; i++ ) {
 		p = random_uniform( 0.0, 1.0 );
 		mu = random_uniform( -5.0, 5.0 );
-		sigma = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		sigma = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 		y = stdlib_base_dists_normal_quantile( p, mu, sigma );
 		printf( "p:%.4f, µ: %.4f, σ: %.4f, Q(p;µ,σ): %.4f\n", p, mu, sigma, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/normal/quantile/manifest.json

@@ -41,8 +41,7 @@
         "@stdlib/math/base/napi/ternary",
         "@stdlib/math/base/assert/is-nan",
         "@stdlib/math/base/special/sqrt",
-        "@stdlib/math/base/special/erfinv",
-        "@stdlib/constants/float64/eps"
+        "@stdlib/math/base/special/erfinv"
       ]
     },
     {

lib/node_modules/@stdlib/stats/base/dists/normal/quantile/src/main.c

@@ -22,11 +22,11 @@
 #include "stdlib/math/base/special/erfinv.h"
 
 /**
-* Returns the quantile function for a normal distribution with mean `mu` and standard deviation `sigma` at a probability `p`.
+* Evaluates the quantile function for a normal distribution with mean `mu` and standard deviation `sigma` at a probability `p`.
 *
 * @param p      probability
-* @param mu     mean of the distribution
-* @param sigma  standard deviation of the distribution
+* @param mu     mean
+* @param sigma  standard deviation
 * @return       quantile of the normal distribution
 *
 * @example