more styling adjustents

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

@@ -156,10 +156,11 @@ Finally, we landed on using the Z-score for aggregate compromise. The Z-score 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>
-The value which we use to score attendees can be calculated as:
+The value which we use to sort attendees can be calculated as:
 \[
 \begin{align}
-\text{sorting score} \quad = \quad &\text{standardisedSurplusScore} \\
+\text{sorting score} \quad = \quad \;
+&\text{standardisedSurplusScore} \\
 -\; &\text{standardisedCompromiseScore}
 \end{align}
 \]
@@ -171,7 +172,7 @@ The value which we use to score attendees can be calculated as:
 
 \[
 \begin{align}
-standardisedCompromiseScore \quad = \quad
+standardisedCompromiseScore \quad = \quad \;
 &\left( \frac{\text{mean surplus difference}}{\text{max surplus}} \right) \\ \\
 \times &\left( \frac{\text{attendee Z score}}{2.72} \right)^3
 \end{align}