diff --git a/lib/node_modules/@stdlib/stats/base/dists/hypergeometric/README.md b/lib/node_modules/@stdlib/stats/base/dists/hypergeometric/README.md
index 9fae818416e6..439336194281 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/hypergeometric/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/hypergeometric/README.md
@@ -108,7 +108,80 @@ var y = dist.cdf( 0.5 );
 var objectKeys = require( '@stdlib/utils/keys' );
 var hypergeometric = require( '@stdlib/stats/base/dists/hypergeometric' );
 
+
 console.log( objectKeys( hypergeometric ) );
+
+// Example 1: Basic distribution properties
+var N1 = 50; // population size
+var K1 = 20; // number of successes in population
+var n1 = 10; // number of draws
+
+console.log( '\nExample 1: Basic distribution properties' );
+console.log( 'Parameters: N=%d, K=%d, n=%d', N1, K1, n1 );
+console.log( 'Mean: %d', hypergeometric.mean( N1, K1, n1 ) );
+console.log( 'Variance: %d', hypergeometric.variance( N1, K1, n1 ) );
+console.log( 'Skewness: %d', hypergeometric.skewness( N1, K1, n1 ) );
+console.log( 'Excess Kurtosis: %d', hypergeometric.kurtosis( N1, K1, n1 ) );
+console.log( 'Standard Deviation: %d', hypergeometric.stdev( N1, K1, n1 ) );
+
+// Example 2: PMF and CDF calculations
+var N2 = 100;
+var K2 = 40;
+var n2 = 25;
+
+console.log( '\nExample 2: PMF and CDF calculations' );
+console.log( 'Parameters: N=%d, K=%d, n=%d', N2, K2, n2 );
+for ( var x = 0; x <= 10; x += 2 ) {
+    console.log( 'P(X = %d): %d', x, hypergeometric.pmf( x, N2, K2, n2 ) );
+    console.log( 'P(X <= %d): %d', x, hypergeometric.cdf( x, N2, K2, n2 ) );
+}
+
+// Example 3: Quantile function
+var N3 = 80;
+var K3 = 30;
+var n3 = 20;
+
+console.log( '\nExample 3: Quantile function' );
+console.log( 'Parameters: N=%d, K=%d, n=%d', N3, K3, n3 );
+var probabilities = [ 0.1, 0.25, 0.5, 0.75, 0.9 ];
+for ( var i = 0; i < probabilities.length; i++ ) {
+    var p = probabilities[i];
+    console.log( 'Q(%d): %d', p, hypergeometric.quantile( p, N3, K3, n3 ) );
+}
+
+// Example 4: Random number generation
+var N4 = 60;
+var K4 = 25;
+var n4 = 15;
+
+console.log( '\nExample 4: Random number generation' );
+console.log( 'Parameters: N=%d, K=%d, n=%d', N4, K4, n4 );
+var Hypergeometric = hypergeometric.Hypergeometric;
+var dist = new Hypergeometric( N4, K4, n4 );
+for ( var j = 0; j < 10; j++ ) {
+    console.log( 'Random variate %d: %d', j+1, dist.random() );
+}
+
+// Example 5: Log PMF calculations
+var N5 = 200;
+var K5 = 80;
+var n5 = 50;
+
+console.log( '\nExample 5: Log PMF calculations' );
+console.log( 'Parameters: N=%d, K=%d, n=%d', N5, K5, n5 );
+for ( var y = 10; y <= 30; y += 5 ) {
+    console.log( 'log(P(X = %d)): %d', y, hypergeometric.logpmf( y, N5, K5, n5 ) );
+}
+
+// Example 6: Mode calculation
+var N6 = 75;
+var K6 = 35;
+var n6 = 20;
+
+console.log( '\nExample 6: Mode calculation' );
+console.log( 'Parameters: N=%d, K=%d, n=%d', N6, K6, n6 );
+console.log( 'Mode: %d', hypergeometric.mode( N6, K6, n6 ) );
+
 ```
 
 </section>
diff --git a/lib/node_modules/@stdlib/stats/base/dists/hypergeometric/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/hypergeometric/examples/index.js
index 28b4cc1b4651..1afd754f14a0 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/hypergeometric/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/hypergeometric/examples/index.js
@@ -21,4 +21,77 @@
 var objectKeys = require( '@stdlib/utils/keys' );
 var hypergeometric = require( './../lib' );
 
+// Print namespace contents
+console.log( 'Namespace contents:' );
 console.log( objectKeys( hypergeometric ) );
+
+// Example 1: Basic distribution properties
+var N1 = 50; // population size
+var K1 = 20; // number of successes in population
+var n1 = 10; // number of draws
+
+console.log( '\nExample 1: Basic distribution properties' );
+console.log( 'Parameters: N=%d, K=%d, n=%d', N1, K1, n1 );
+console.log( 'Mean: %d', hypergeometric.mean( N1, K1, n1 ) );
+console.log( 'Variance: %d', hypergeometric.variance( N1, K1, n1 ) );
+console.log( 'Skewness: %d', hypergeometric.skewness( N1, K1, n1 ) );
+console.log( 'Excess Kurtosis: %d', hypergeometric.kurtosis( N1, K1, n1 ) );
+console.log( 'Standard Deviation: %d', hypergeometric.stdev( N1, K1, n1 ) );
+
+// Example 2: PMF and CDF calculations
+var N2 = 100;
+var K2 = 40;
+var n2 = 25;
+
+console.log( '\nExample 2: PMF and CDF calculations' );
+console.log( 'Parameters: N=%d, K=%d, n=%d', N2, K2, n2 );
+for ( var x = 0; x <= 10; x += 2 ) {
+	console.log( 'P(X = %d): %d', x, hypergeometric.pmf( x, N2, K2, n2 ) );
+	console.log( 'P(X <= %d): %d', x, hypergeometric.cdf( x, N2, K2, n2 ) );
+}
+
+// Example 3: Quantile function
+var N3 = 80;
+var K3 = 30;
+var n3 = 20;
+
+console.log( '\nExample 3: Quantile function' );
+console.log( 'Parameters: N=%d, K=%d, n=%d', N3, K3, n3 );
+var probabilities = [ 0.1, 0.25, 0.5, 0.75, 0.9 ];
+for ( var i = 0; i < probabilities.length; i++ ) {
+	var p = probabilities[i];
+	console.log( 'Q(%d): %d', p, hypergeometric.quantile( p, N3, K3, n3 ) );
+}
+
+// Example 4: Random number generation
+var N4 = 60;
+var K4 = 25;
+var n4 = 15;
+
+console.log( '\nExample 4: Random number generation' );
+console.log( 'Parameters: N=%d, K=%d, n=%d', N4, K4, n4 );
+var Hypergeometric = hypergeometric.Hypergeometric;
+var dist = new Hypergeometric( N4, K4, n4 );
+for ( var j = 0; j < 10; j++ ) {
+	console.log( 'Random variate %d: %d', j+1, dist.random() );
+}
+
+// Example 5: Log PMF calculations
+var N5 = 200;
+var K5 = 80;
+var n5 = 50;
+
+console.log( '\nExample 5: Log PMF calculations' );
+console.log( 'Parameters: N=%d, K=%d, n=%d', N5, K5, n5 );
+for ( var y = 10; y <= 30; y += 5 ) {
+	console.log( 'log(P(X = %d)): %d', y, hypergeometric.logpmf( y, N5, K5, n5 ) );
+}
+
+// Example 6: Mode calculation
+var N6 = 75;
+var K6 = 35;
+var n6 = 20;
+
+console.log( '\nExample 6: Mode calculation' );
+console.log( 'Parameters: N=%d, K=%d, n=%d', N6, K6, n6 );
+console.log( 'Mode: %d', hypergeometric.mode( N6, K6, n6 ) );
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