adjusting styling again

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

@@ -159,7 +159,7 @@ Finally, we landed on using the Z-score for aggregate compromise. The Z-score is
 The value which we use to score attendees can be calculated as:
 \[
 \begin{align}
-\text{sorting score} = &\text{standardisedSurplusScore} \\
+\text{sorting score} =\; &\text{standardisedSurplusScore} \\
 &- \text{standardisedCompromiseScore}
 \end{align}
 \]
@@ -172,7 +172,7 @@ The value which we use to score attendees can be calculated as:
 \[
 \begin{align}
 standardisedCompromiseScore = 
-&\left( \frac{\text{mean surplus difference}}{\text{max surplus}} \right) \\
+&\left( \frac{\text{mean surplus difference}}{\text{max surplus}} \right) \\ \\
 &\times \left( \frac{\text{attendee Z score}}{2.72} \right)^3
 \end{align}
 \]
@@ -196,7 +196,7 @@ standardisedCompromiseScore =
 \]
 
 <p style="font-size: smaller; text-align: right;">
-    (here max surplus has to be positive)
+    (here max surplus will be positive)
 </p>
 
 <p>
@@ -209,7 +209,7 @@ standardisedCompromiseScore =
 \]
 
 <p style="font-size: smaller; text-align: right;">
-    (here min surplus has to be negative)
+    (here min surplus will be negative)
 </p>
 
 <p>