Two curves on one grid
The curves show the marks of \(80\) students in Group A and \(120\) students in Group B in the same test. Read each curve at its own total: Group A at \(20\), \(40\), \(60\); Group B at \(30\), \(60\), \(90\).
| Group | \(n\) | \(Q_1\) | Median | \(Q_3\) | IQR |
|---|---|---|---|---|---|
| A | \(80\) | \(20\) | \(30\) | \(40\) | \(20\) |
| B | \(120\) | \(30\) | \(40\) | \(55\) | \(25\) |
Two comments
A comparison needs two comments. Each names the statistic, gives both values and says what it means in the context.
| Comment on | Statistic | Example |
|---|---|---|
| the average | median | On average Group B scored higher: its median, \(40\) marks, is greater than Group A’s, \(30\) marks. |
| the spread | interquartile range | Group A’s marks are more consistent: its interquartile range, \(20\) marks, is smaller than Group B’s, \(25\) marks. |
Compare percentages, not heights
At \(40\) marks both curves are at height \(60\), but that is \(\dfrac{60}{80}=75\%\) of Group A and only \(\dfrac{60}{120}=50\%\) of Group B. When the totals differ, change counts into percentages before comparing. When the totals are equal, the curve that is higher at a mark has more students at or below that mark, so that group generally scored lower.
Checks and common errors
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