diff --git a/chapters/part2/categorical/index.html b/chapters/part2/categorical/index.html
index 791bf55f..f333dee6 100644
--- a/chapters/part2/categorical/index.html
+++ b/chapters/part2/categorical/index.html
@@ -16,9 +16,9 @@
   <tr><td>Sunny</td><td>$\p(X = \text{Sunny) = 0.49}$</td></tr>
   <tr><td>Cloudy</td><td>$\p(X = \text{Cloudy) = 0.30}$</td></tr>
   <tr><td>Rainy</td><td>$\p(X = \text{Rainy) = 0.20}$</td></tr>
-  <tr><td>Rainy</td><td>$\p(X = \text{Snowy) = 0.01}$</td></tr>
+  <tr><td>Snowy</td><td>$\p(X = \text{Snowy) = 0.01}$</td></tr>
 </table>
 
 <p>Notice that the probabilities must sum to 1.0. This is because (in this version) the weather must be one of the four categories. Since the values are not numeric, this random variable will <b>not</b> have an expectation (values are not numbers) variance nor a PMF expressed as a function, as opposed to a table.</p>
 
-<p>Note to your future self: A categorical distribution is a simplified version of a <a href="{{pathToRoot}}part3/multinomial/">multinomial distribution</a> (where the number of outcomes is 1) </p>
\ No newline at end of file
+<p>Note to your future self: A categorical distribution is a simplified version of a <a href="{{pathToRoot}}part3/multinomial/">multinomial distribution</a> (where the number of outcomes is 1) </p>