chore: address commit comments

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: passed
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: missing_dependencies
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: missing_dependencies
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: pulkitgupta2

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

@@ -186,7 +186,7 @@ for ( i = 0; i < 25; i++ ) {
 
 #### stdlib_base_dists_triangular_quantile( p, a, b, c )
 
-Evaluates the [quantile function][quantile-function] for a [triangular][triangular-distribution] distribution with parameters `a` (lower limit), `b` (upper limit) and `c` (mode).
+Evaluates the [quantile function][quantile-function] for a [triangular][triangular-distribution] distribution with parameters `a` (lower limit), `b` (upper limit), and `c` (mode).
 
 ```c
 double out = stdlib_base_dists_triangular_quantile( 0.9, -1.0, 1.0, 0.0 );

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

@@ -102,7 +102,7 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		p[ i ] = random_uniform( 0.0, 1.0);
+		p[ i ] = random_uniform( 0.0, 1.0 );
 		min[ i ] = random_uniform( 0.0, 10.0 );
 		max[ i ] = random_uniform( min[ i ], min[ i ]+10.0 );
 		mode[ i ] = random_uniform( min[ i ], max[ i ] );

lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/include/stdlib/stats/base/dists/triangular/quantile.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Evaluates the quantile function for a triangular distribution with parameters `a` (lower limit), `b` (upper limit) and `c` (mode).
+* Evaluates the quantile function for a triangular distribution with parameters `a` (lower limit), `b` (upper limit), and `c` (mode).
 */
 double stdlib_base_dists_triangular_quantile( const double p, const double a, const double b, const double c );
 

lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/lib/native.js

@@ -26,8 +26,7 @@ var addon = require( './../src/addon.node' );
 // MAIN //
 
 /**
-* Evaluates the quantile function for a triangular distribution with lower limit `a` and upper limit `b` and mode `c` at a probability `p`.
-*
+* Evaluates the quantile function for a triangular distribution with parameters `a` (lower limit), `b` (upper limit), and `c` (mode).
 * @private
 * @param {Probability} p - input value
 * @param {number} a - lower limit

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

@@ -21,7 +21,7 @@
 #include "stdlib/math/base/special/sqrt.h"
 
 /**
-* Evaluates the quantile function for a triangular distribution with parameters `a` (lower limit), `b` (upper limit) and `c` (mode).
+* Evaluates the quantile function for a triangular distribution with parameters `a` (lower limit), `b` (upper limit), and `c` (mode).
 *
 * @param p    input probability
 * @param a    minimum support
@@ -48,7 +48,7 @@ double stdlib_base_dists_triangular_quantile( const double p, const double a, co
 	}
 	double pInflection = ( c - a ) / ( b - a );
 	if ( p < pInflection ) {
-		return a + stdlib_base_sqrt( ( b - a ) * ( c - a) * p );
+		return a + stdlib_base_sqrt( ( b - a ) * ( c - a ) * p );
 	}
 	if ( p > pInflection ) {
 		return b - stdlib_base_sqrt( ( b - a ) * ( b - c ) * ( 1.0 - p ) );