docs(stats/base/dists/arcsine): improve examples

lib/node_modules/@stdlib/stats/base/dists/arcsine/README.md

@@ -106,13 +106,78 @@ var mu = dist.mean;
 
 <!-- eslint no-undef: "error" -->
 
+
+#### Display Available Functions
+
 ```javascript
 var objectKeys = require( '@stdlib/utils/keys' );
 var arcsine = require( '@stdlib/stats/base/dists/arcsine' );
 
 console.log( objectKeys( arcsine ) );
 ```
 
+#### Calculate the Median
+
+```javascript
+var arcsine = require( '@stdlib/stats/base/dists/arcsine' );
+
+// Calculate the median for the arcsine distribution in the range [0, 1]
+var medianValue = arcsine.median(0, 1);
+console.log('The median of the distribution is', medianValue);
+```
+
+#### Calculate the Mode
+
+```javascript
+var arcsine = require( '@stdlib/stats/base/dists/arcsine' );
+
+// Calculate the mode for the arcsine distribution in the range [0, 1]
+var modeValue = arcsine.mode(0, 1);
+console.log('The mode of the distribution is', modeValue);
+```
+
+#### Calculate the Entropy
+
+```javascript
+var arcsine = require( '@stdlib/stats/base/dists/arcsine' );
+var log = require( '@stdlib/math/base/special/log' );
+
+// Calculate the entropy for the arcsine distribution in the range [0, 1]
+var entropy = arcsine.entropy(0, 1);
+console.log('Entropy:', entropy);
+```
+
+#### Calculate the Cumulative Distribution Function (CDF)
+
+```javascript
+var arcsine = require( '@stdlib/stats/base/dists/arcsine' );
+
+// Calculate the CDF for value 0.5 in the range [0, 1]
+var cdfValue = arcsine.cdf(0.5, 0, 1);
+console.log('The CDF value at 0.5 is', cdfValue);
+```
+
+#### Calculate the Probability Density Function (PDF)
+
+```javascript
+var arcsine = require( '@stdlib/stats/base/dists/arcsine' );
+
+// Calculate the PDF for value 0.5 in the range [0, 1]
+var pdfValue = arcsine.pdf(0.5, 0, 1);
+console.log('The PDF value at 0.5 is', pdfValue);
+```
+
+#### Use the Mean and Variance
+
+```javascript
+var arcsine = require( '@stdlib/stats/base/dists/arcsine' );
+
+// Calculate the mean and variance for the arcsine distribution in the range [0, 1]
+var mean = arcsine.mean(0, 1);
+var variance = arcsine.variance(0, 1);
+console.log('Mean:', mean, 'Variance:', variance);
+```
+
 </section>
 
 <!-- /.examples -->