chore: update typos and refractor

---
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: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: passed
  - task: lint_c_examples
    status: passed
  - task: lint_c_benchmarks
    status: passed
  - 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: saurabhraghuvanshii

lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/README.md

@@ -176,7 +176,7 @@ Returns the mode of a beta prime distribution with first shape parameter `alpha`
 
 ```c
 double y = stdlib_base_dists_betaprime_mode( 1.0, 2.0 );
-//returns ~0.0
+//returns 0.0
 ```
 
 The function accepts the following arguments:
@@ -228,7 +228,7 @@ int main( void ) {
         alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
         beta = random_uniform( 1.0 + STDLIB_CONSTANT_FLOAT64_EPS, 11.0 );
         y = stdlib_base_dists_betaprime_mode( alpha, beta );
-        printf( "α: %1f, β: %1f, Mode(X;α,β): %lf\n", alpha, beta, y );
+        printf( "α: %lf, β: %lf, Mode(X;α,β): %lf\n", alpha, beta, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/benchmark/benchmark.js

@@ -40,11 +40,9 @@ bench( pkg, function benchmark( b ) {
 
 	len = 100;
 	alpha = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		alpha[ i ] = uniform( EPS, 10.0 );
-	}
 	beta = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = uniform( EPS, 10.0 );
 		beta[ i ] = uniform( EPS, 10.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/benchmark/benchmark.native.js

@@ -49,11 +49,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 
 	len = 100;
 	alpha = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		alpha[ i ] = uniform( EPS, 10.0 );
-	}
 	beta = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = uniform( EPS, 10.0 );
 		beta[ i ] = uniform( EPS, 10.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/benchmark/c/benchmark.c

@@ -102,8 +102,6 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		alpha[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
-	}
-	for ( i = 0; i < 100; i++ ) {
 		beta[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/examples/c/example.c

@@ -36,6 +36,6 @@ int main( void ) {
 		alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 		beta = random_uniform( 1.0 + STDLIB_CONSTANT_FLOAT64_EPS, 11.0 );
 		y = stdlib_base_dists_betaprime_mode( alpha, beta );
-		printf( "α: %1f, β: %1f, Mode(X;α,β): %lf\n", alpha, beta, y );
+		printf( "α: %lf, β: %lf, Mode(X;α,β): %lf\n", alpha, beta, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/src/main.c

@@ -24,13 +24,13 @@
 * @param x        input value
 * @param alpha    first shape parameter
 * @param beta     second shape parameter
-* @returns        mode
+* @return         mode
 *
 * @example
 * double y = stdlib_base_dists_betaprime_mode( 1.0, 2.0 );
-* // returns ~0.0
+* // returns 0.0
 */
-double stdlib_base_dists_betaprime_mode( double alpha, const double beta ) {
+double stdlib_base_dists_betaprime_mode( const double alpha, const double beta ) {
 	if ( alpha <= 0.0 || beta <= 0.0 ) {
 		return 0.0 / 0.0;
 	}