feat(t-mode): fixing readme and test.native.js

Author: Aadish Jain

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

@@ -142,7 +142,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_t_mode( v )
 
-Evaluates the mode for a Student's t-distribution.
+Returns the [mode][mode] of a [Student's t][t-distribution] distribution with degrees of freedom `v`.
 
 ```c
 double out = stdlib_base_dists_t_mode( 5.0 );
@@ -151,7 +151,7 @@ double out = stdlib_base_dists_t_mode( 5.0 );
 
 The function accepts the following arguments:
 
--   **v**: `[in] double` input value.
+-   **v**: `[in] double` degrees of freedom.
 
 ```c
 double stdlib_base_dists_t_mode( const double v );

lib/node_modules/@stdlib/stats/base/dists/t/mode/test/test.native.js

@@ -33,39 +33,39 @@ var data = require( './fixtures/julia/data.json' );
 
 // VARIABLES //
 
-var median = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var mode = tryRequire( resolve( __dirname, './../lib/native.js' ) );
 var opts = {
-	'skip': ( median instanceof Error )
+	'skip': ( mode instanceof Error )
 };
 
 
 // TESTS //
 
 tape( 'main export is a function', opts, function test( t ) {
 	t.ok( true, __filename );
-	t.strictEqual( typeof median, 'function', 'main export is a function' );
+	t.strictEqual( typeof mode, 'function', 'main export is a function' );
 	t.end();
 });
 
 tape( 'if provided `NaN` for the parameter, the function returns `NaN`', opts, function test( t ) {
-	var y = median( NaN );
+	var y = mode( NaN );
 	t.equal( isnan( y ), true, 'returns NaN' );
 	t.end();
 });
 
 tape( 'if provided a negative value for `v`, the function returns `NaN`', opts, function test( t ) {
 	var y;
 
-	y = median( -1.0 );
+	y = mode( -1.0 );
 	t.equal( isnan( y ), true, 'returns NaN' );
 
-	y = median( -0.5 );
+	y = mode( -0.5 );
 	t.equal( isnan( y ), true, 'returns NaN' );
 
 	t.end();
 });
 
-tape( 'the function evaluates the median for a Student\'s t-distribution', opts, function test( t ) {
+tape( 'the function evaluates the mode for a Student\'s t-distribution', opts, function test( t ) {
 	var expected;
 	var v;
 	var y;
@@ -74,7 +74,7 @@ tape( 'the function evaluates the median for a Student\'s t-distribution', opts,
 	for ( i = 0; i < data.v.length; i++ ) {
 		v = data.v[ i ];
 		expected = data.expected[ i ];
-		y = median( v );
+		y = mode( v );
 		t.equal( y, expected, 'v: ' + v + ', y: ' + y + ', expected: ' + expected );
 	}
 	t.end();