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Author: stdlib-bot

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2024-06-19)
+## Unreleased (2024-07-06)
 
 <section class="packages">
 
@@ -74,6 +74,7 @@ A total of 7 people contributed to this release. Thank you to the following cont
 
 <details>
 
+-   [`9669982`](https://github.com/stdlib-js/stdlib/commit/966998214dc39efece0cbd557786bc5dde4adcb8) - **style:** resolve lint error _(by Athan Reines)_
 -   [`352993d`](https://github.com/stdlib-js/stdlib/commit/352993db5c4a41180aa78951a0bc1c9faa8aefc4) - **docs:** improve examples of `stats/base/dists/studentized-range` _(by Rejoan Sardar, Philipp Burckhardt)_
 -   [`cc5d91f`](https://github.com/stdlib-js/stdlib/commit/cc5d91fb3df5155821344d6fffbeef23f37e8153) - **style:** remove blank line [(#2339)](https://github.com/stdlib-js/stdlib/pull/2339) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`922122e`](https://github.com/stdlib-js/stdlib/commit/922122e319c37170f16e14ce5d074273fd7f0675) - **docs:** improve examples for `stats/base/dists/normal` namespace _(by NightKnight, Philipp Burckhardt)_

base/dists/studentized-range/README.md

@@ -70,19 +70,19 @@ var tukey = require( '@stdlib/stats/base/dists/studentized-range' );
 /*
 * Let's consider an example where we are analyzing the test scores of students in a class.
 * We're interested in using the Studentized Range Distribution to analyze the range of scores.
-* The distribution has parameters: r (number of means), v (degrees of freedom), and nranges (number of ranges).
+* The distribution has parameters: r (number of means), v (degrees of freedom), and n (number of ranges).
 */
 
 var r = 5.0;
 var v = 20.0;
-var nranges = 3.0;
+var n = 3.0;
 
 // CDF can be used to calculate the cumulative distribution function at a specific value:
-var out = tukey.cdf( 2.0, r, v, nranges );
+var out = tukey.cdf( 2.0, r, v, n );
 // returns ~0.074
 
 // Quantile can also be used to calculate the quantile function at a specific probability:
-out = tukey.quantile( 0.9, r, v, nranges );
+out = tukey.quantile( 0.9, r, v, n );
 // returns ~4.433
 ```