edited

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Author: jalajk3004

lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/README.md

@@ -200,7 +200,7 @@ The function accepts the following arguments:
 -   **n**: `[in] int32_t` number of draws.
 
 ```c
-double stdlib_base_dists_hypergeometric_logpmf ( const double x, const int32_t N, const int32_t K, const int32_t n );
+double stdlib_base_dists_hypergeometric_logpmf( const double x, const int32_t N, const int32_t K, const int32_t n );
 ```
 
 </section>

lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/src/main.c

@@ -26,7 +26,7 @@
 #include <stdint.h>
 
 /**
-* Evaluates the natural logarithm of the probability mass function (PMF) for a hypergeometric distribution with population size `N`, subpopulation size `K` and number of draws `n`.
+* Evaluates the natural logarithm of the probability mass function (PMF) for a hypergeometric distribution with population size `N`, subpopulation size `K`, and number of draws `n`.
 *
 * @param x    input value
 * @param N    population size

lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/test/test.native.js

@@ -68,7 +68,7 @@ tape( 'if provided an integer `x` greater than `min( n, K )`, the function retur
 	t.equal( y, NINF, 'returns expected value' );
 
 	y = logpmf( 100, 20, 20, 10 );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	t.end();
 });