diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/README.md b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/README.md
index 9d9f8ced3047..1891ec349c42 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/README.md
@@ -28,13 +28,13 @@ limitations under the License.
 
 The [mean][mean] for a [Kumaraswamy's double bounded][kumaraswamy-distribution] random variable is
 
-<!-- <equation class="equation" label="eq:kumaraswamy_mean" align="center" raw="\mathbb{E} \left[ X \right] = {b\Gamma(1+{\tfrac {1}{a}})\Gamma(b)}{\Gamma(1+{\tfrac{1}{a}}+b)}" alt="Mean for a Kumaraswamy's double bounded distribution."> -->
+<!-- <equation class="equation" label="eq:kumaraswamy_mean" align="center" raw="\mathbb{E} \left[ X \right] = \frac{b\Gamma(1+{\tfrac {1}{a}})\Gamma(b)}{\Gamma(1+{\tfrac{1}{a}}+b)}" alt="Mean for a Kumaraswamy's double bounded distribution."> -->
 
 ```math
-\mathbb{E} \left[ X \right] = {b\Gamma(1+{\tfrac {1}{a}})\Gamma(b)}{\Gamma(1+{\tfrac{1}{a}}+b)}
+\mathbb{E} \left[ X \right] = \frac{b\Gamma(1+{\tfrac {1}{a}})\Gamma(b)}{\Gamma(1+{\tfrac{1}{a}}+b)}
 ```
 
-<!-- <div class="equation" align="center" data-raw-text="\mathbb{E} \left[ X \right] = {b\Gamma(1+{\tfrac {1}{a}})\Gamma(b)}{\Gamma(1+{\tfrac{1}{a}}+b)}" data-equation="eq:kumaraswamy_mean">
+<!-- <div class="equation" align="center" data-raw-text="\mathbb{E} \left[ X \right] = \frac{b\Gamma(1+{\tfrac {1}{a}})\Gamma(b)}{\Gamma(1+{\tfrac{1}{a}}+b)}" data-equation="eq:kumaraswamy_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@51534079fef45e990850102147e8945fb023d1d0/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/docs/img/equation_kumaraswamy_mean.svg" alt="Mean for a Kumaraswamy's double bounded distribution.">
     <br>
 </div> -->