adding a div

_posts/2024-10-21-building-an-assignment-algorithm-2.markdown

@@ -154,6 +154,9 @@ We considered normalisation, however, the highest value (no matter whether an ou
 Finally, we landed on using the Z-score for aggregate compromise. The Z-score is a statistical value which measures how many standard deviations (a measure of spread) a dataset value is from the average. You can find out more on the Z-score <a href="https://www.investopedia.com/terms/z/zscore.asp">here</a>. This means that compromise will play a more significant role in sorting when the aggregate compromise value is an outlier, however it would have a relatively small effect if the value is close to the average of the attendees aggregate compromise, no matter how large the compromise or the surplus is.  
 
 <details class="no-italic"><summary>Click the 'more' button for to see how we compared compromise and surplus difference exactly, along with the rationale.</summary>
+<br>
+<br>
+<div>
 <p>
     \(\text{sorting score} \\= standardisedSurplusScore - standardisedCompromiseScore \)
 </p>
@@ -209,6 +212,7 @@ Finally, we landed on using the Z-score for aggregate compromise. The Z-score is
 \text{attendee surplus difference}
 \]
 
+</div>
 <div>
 <h4>
     The rationale behind this was as follows: