diff --git a/lib/node_modules/@stdlib/stats/base/dists/weibull/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/weibull/quantile/README.md
index 51a7ea37a327..15cea76d65ad 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/weibull/quantile/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/weibull/quantile/README.md
@@ -155,6 +155,105 @@ for ( i = 0; i < 10; i++ ) {
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+* * *
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+## C APIs
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+### Usage
+
+```c
+#include "stdlib/stats/base/dists/weibull/quantile.h"
+```
+
+#### stdlib_base_dists_weibull_quantile( p, k, lambda )
+
+Evaluates the [quantile function][quantile-function] for a [Weibull][weibull-distribution] distribution with [shape parameter][shape] `k` and [scale parameter][scale] `lambda`.
+
+```c
+double out = stdlib_base_dists_weibull_quantile( 0.5, 1.0, 1.0 );
+// returns ~0.693
+```
+
+The function accepts the following arguments:
+
+- **p**: `[in] double` input probability.
+- **k**: `[in] double` shape parameter.
+- **lambda**: `[in] double` scale parameter.
+
+```c
+double stdlib_base_dists_weibull_quantile( const double p, const double k, const double lambda );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/weibull/quantile.h"
+#include
+#include
+
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+int main( void ) {
+ double lambda;
+ double p;
+ double k;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ p = random_uniform( 0.0, 1.0 );
+ k = random_uniform( 0.1, 5.0 );
+ lambda = random_uniform( 0.1, 5.0 );
+ y = stdlib_base_dists_weibull_quantile( p, k, lambda );
+ printf( "p: %lf, k: %lf, lambda: %lf, Q(p;k,lambda): %lf\n", p, k, lambda, y );
+ }
+ return 0;
+}
+```
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