chore: minor clean-up

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---

Author: Planeshifter

lib/node_modules/@stdlib/math/base/special/coth/src/main.c

@@ -66,5 +66,5 @@
 */
 
 double stdlib_base_coth( const double x ) {
-    return 1.0 / stdlib_base_tanh(x);
+	return 1.0 / stdlib_base_tanh(x);
 }

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

@@ -121,7 +121,7 @@ var p;
 for ( i = 0; i < 10; i++ ) {
     p = randu();
     v = mode( p );
-    console.log( 'p: %d, Mode(X;p): %d', p.toFixed( 4 ), v.toFixed( 4 ) );
+    console.log( 'p: %d, mode(X;p): %d', p.toFixed( 4 ), v.toFixed( 4 ) );
 }
 ```
 
@@ -211,7 +211,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         p = (double)rand() / ( (double)RAND_MAX + 1.0 );
         y = stdlib_base_dists_bernoulli_mode( p );
-        printf( "x: %lf, M(X;p): %lf\n", p, y );
+        printf( "x: %lf, mode(X;p): %lf\n", p, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/bernoulli/mode/examples/index.js

@@ -28,5 +28,5 @@ var p;
 for ( i = 0; i < 10; i++ ) {
 	p = randu();
 	v = mode( p );
-	console.log( 'p: %d, Mode(X;p): %d', p.toFixed( 4 ), v.toFixed( 4 ) );
+	console.log( 'p: %d, mode(X;p): %d', p.toFixed( 4 ), v.toFixed( 4 ) );
 }

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

@@ -100,7 +100,7 @@ var i;
 for ( i = 0; i < 10; i++ ) {
     mu = randu();
     v = mode( mu );
-    console.log( 'µ: %d, Mode(X;µ): %d', mu.toFixed( 4 ), v.toFixed( 4 ) );
+    console.log( 'µ: %d, mode(X;µ): %d', mu.toFixed( 4 ), v.toFixed( 4 ) );
 }
 ```
 

lib/node_modules/@stdlib/stats/base/dists/degenerate/mode/examples/index.js

@@ -28,5 +28,5 @@ var i;
 for ( i = 0; i < 10; i++ ) {
 	mu = randu();
 	v = mode( mu );
-	console.log( 'µ: %d, Mode(X;µ): %d', mu.toFixed( 4 ), v.toFixed( 4 ) );
+	console.log( 'µ: %d, mode(X;µ): %d', mu.toFixed( 4 ), v.toFixed( 4 ) );
 }

lib/node_modules/@stdlib/stats/base/dists/exponential/kurtosis/README.md

@@ -193,7 +193,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         lambda = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_exponential_kurtosis( lambda );
-        printf( "λ: %lf, Kurt[X;λ]: %lf\n", lambda, y );
+        printf( "λ: %lf, Kurt(X;λ): %lf\n", lambda, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/exponential/kurtosis/examples/c/example.c

@@ -33,6 +33,6 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		lambda = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_exponential_kurtosis( lambda );
-		printf( "λ: %lf, Kurt[X;λ]: %lf\n", lambda, y );
+		printf( "λ: %lf, Kurt(X;λ): %lf\n", lambda, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/exponential/mean/README.md

@@ -195,7 +195,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         lambda = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_exponential_mean( lambda );
-        printf( "λ: %lf, E[X;λ]: %lf\n", lambda, y );
+        printf( "λ: %lf, E(X;λ): %lf\n", lambda, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/exponential/mean/examples/c/example.c

@@ -33,6 +33,6 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		lambda = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_exponential_mean( lambda );
-		printf( "λ: %lf, E[X;λ]: %lf\n", lambda, y );
+		printf( "λ: %lf, E(X;λ): %lf\n", lambda, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/exponential/median/README.md

@@ -195,7 +195,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         lambda = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_exponential_median( lambda );
-        printf( "λ: %lf, Median[X;λ]: %lf\n", lambda, y );
+        printf( "λ: %lf, Median(X;λ): %lf\n", lambda, y );
     }
 }
 ```