From 98a5c6fc7d9d81ca9e31dc3c8abe498f4b487ea3 Mon Sep 17 00:00:00 2001 From: jwarren-scottlogic Date: Tue, 29 Oct 2024 15:19:37 +0000 Subject: [PATCH] adjusting styling again --- ...uilding-an-assignment-algorithm-2.markdown | 22 +++++++++++++------ 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/_posts/2024-10-21-building-an-assignment-algorithm-2.markdown b/_posts/2024-10-21-building-an-assignment-algorithm-2.markdown index 7ad94a34d1..800d074c1f 100644 --- a/_posts/2024-10-21-building-an-assignment-algorithm-2.markdown +++ b/_posts/2024-10-21-building-an-assignment-algorithm-2.markdown @@ -156,10 +156,14 @@ Finally, we landed on using the Z-score for aggregate compromise. The Z-score is
Click the 'more' button for to see how we compared compromise and surplus difference exactly, along with the rationale.

-

- \(\text{sorting score} \\= standardisedSurplusScore - standardisedCompromiseScore \) -

- +\[ +\begin{align} +\text{sorting score} &= \text{standardisedSurplusScore} \\ +&- \text{standardisedCompromiseScore} +\end{align} +\] +
+

Where the \(\text{standardisedCompromiseScore}\) is:

@@ -169,9 +173,11 @@ Finally, we landed on using the Z-score for aggregate compromise. The Z-score is \left( \frac{\text{attendee Z score}}{2.72} \right)^3 \] -

- N.B. The Z score is calculated with the median to avoid extreme value skewing. -

+
+

+ N.B. The Z score is calculated with the median to avoid extreme value skewing. +

+

And the \(\text{standardisedSurplusScore}\) is: @@ -211,6 +217,8 @@ Finally, we landed on using the Z-score for aggregate compromise. The Z-score is \text{attendee surplus difference} \] +
+

The rationale behind this was as follows: