From 75d090d22c24a2f2aaf6e14c442a746675e58c4a Mon Sep 17 00:00:00 2001
From: Philipp Burckhardt <pburckhardt@outlook.com>
Date: Mon, 11 Mar 2024 20:09:05 -0400
Subject: [PATCH] Apply suggestions from code review

Signed-off-by: Philipp Burckhardt <pburckhardt@outlook.com>
---
 .../@stdlib/stats/base/dists/rayleigh/README.md        | 10 +++++-----
 .../stats/base/dists/rayleigh/examples/index.js        | 10 +++++-----
 2 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/README.md b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/README.md
index 4355a1ee736..5a601a6e8e7 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/README.md
@@ -112,9 +112,9 @@ var y = dist.pdf( 0.8 );
 var rayleigh = require( '@stdlib/stats/base/dists/rayleigh' );
 
 /*
- * The Rayleigh distribution is often used to model wind speeds.
- * Let's consider a scenario where we want to estimate various properties related to wind speeds.
- */
+* The Rayleigh distribution can be used to model wind speeds.
+* Let's consider a scenario where we want to estimate various properties related to wind speeds.
+*/
 
 // Set the Rayleigh distribution parameter (scale parameter):
 var s = 10.0;
@@ -132,7 +132,7 @@ console.log( rayleigh.stdev( s ) );
 // Evaluate the Probability Density Function (PDF) for a specific wind speed:
 var w = 15.0;
 console.log( rayleigh.pdf( w, s ) );
-// => 0.04869787010375246
+// => ~0.049
 
 // Determine Cumulative Distribution Function (CDF) for wind speeds up to a certain value:
 var t = 15.0;
@@ -146,7 +146,7 @@ console.log( 'Probability of wind speeds exceeding ' + t + ' m/s:', p );
 // Find the wind speed at which there's a 70% chance it won't exceed using the Quantile function:
 var c = 0.7;
 console.log( rayleigh.quantile( c, s ) );
-// => 15.517556536555205
+// => ~15.518
 ```
 
 </section>
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/examples/index.js
index 0fbb9945f50..9816c8a233b 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/examples/index.js
@@ -21,9 +21,9 @@
 var rayleigh = require( './../lib' );
 
 /*
- * The Rayleigh distribution is often used to model wind speeds.
- * Let's consider a scenario where we want to estimate various properties related to wind speeds.
- */
+* The Rayleigh distribution can be used to model wind speeds.
+* Let's consider a scenario where we want to estimate various properties related to wind speeds.
+*/
 
 // Set the Rayleigh distribution parameter (scale parameter):
 var s = 10.0;
@@ -41,7 +41,7 @@ console.log( rayleigh.stdev( s ) );
 // Evaluate the Probability Density Function (PDF) for a specific wind speed:
 var w = 15.0;
 console.log( rayleigh.pdf( w, s ) );
-// => 0.04869787010375246
+// => ~0.049
 
 // Determine Cumulative Distribution Function (CDF) for wind speeds up to a certain value:
 var t = 15.0;
@@ -55,4 +55,4 @@ console.log( 'Probability of wind speeds exceeding ' + t + ' m/s:', p );
 // Find the wind speed at which there's a 70% chance it won't exceed using the Quantile function:
 var c = 0.7;
 console.log( rayleigh.quantile( c, s ) );
-// => 15.517556536555205
+// => ~15.518