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Compare two distributions with compatible scales

Two charts can look very different simply because someone drew them on different axes or because one group is bigger.

On this page
  1. What makes a comparison fair?
  2. How to write a comparison, step by step
  3. Worked example
  4. The mistake to watch for
  5. Check yourself
  6. Where this leads next

To compare two distributions fairly, use the same scale for both, compare an average and a spread, and use proportions when the groups are different sizes. Then write each comparison in context, naming both groups.

This skill belongs to data displays and cumulative reasoning. It combines the medians and quartiles from cumulative frequency with the careful reading of scales, which you can also practise in the map scale and contour practice tool.

What makes a comparison fair?

There are three checks. First, scale: are both graphs drawn with the same axis?

Second, size: do the two groups contain the same number of values? Third, measures: are you comparing a typical value and a spread?

A median is usually the safer average when there are extreme values, because it is not pulled by them. The interquartile range (IQR) is the matching spread, since it ignores the most extreme quarter at each end.

How to write a comparison, step by step

  1. Pick the average (median or mean) for each group and compare them in one sentence, in context.
  2. Pick the spread (range or IQR) for each group and compare in a second sentence.
  3. Use proportions when the groups differ in size, and compare percentages, not counts.
  4. Check scales on any graph before you compare by eye.
  5. Say what it means: a smaller IQR means the values are more consistent.

Worked example

Two classes sat the same test. Summary statistics:

Lower quartileMedianUpper quartileRange
Class A55626940
Class B44587055

Step 1, IQR: Class A: 69 − 55 = 14. Class B: 70 − 44 = 26.

Step 2, compare averages: the median for Class A (62) is higher than for Class B (58), so the typical mark was higher in Class A.

Step 3, compare spreads: the IQR for Class A (14) is smaller than for Class B (26), so Class A’s marks were more consistent.

Step 4, conclusion in one line: Class A had a higher median and more consistent marks than Class B.

Now compare proportions. In Class A, 12 of 30 students scored over 60. In Class B, 28 of 80 students scored over 60.

Step 5: 12 ÷ 30 = 0.40 = 40%. 28 ÷ 80 = 0.35 = 35%.

Class B has more students over 60 (28 against 12) but a smaller proportion (35% against 40%).

The mistake to watch for

The usual slip is comparing counts when the groups are not the same size.

Mistaken answer: “Class B did better on this test because 28 students scored over 60 and only 12 did in Class A.”

The student compared 28 with 12 and forgot that Class B has far more students.

The correction is to turn each count into a proportion of its own group. Another related slip is comparing two graphs drawn with different axis scales by eye, which can make a spread look bigger or smaller than it is.

Check yourself

Try these, then open each answer.

1. Group X has median 45 and IQR 10. Group Y has median 50 and IQR 20. Write two comparisons in context (test marks).

Show answer

Group Y has a higher median (50 against 45), so its typical mark is higher. Group X has a smaller IQR (10 against 20), so its marks are more consistent.

2. In Survey 1, 18 of 45 students walk to school. In Survey 2, 30 of 100 walk. Which survey has the larger proportion walking?

Show answer

18 ÷ 45 = 0.40 = 40%. 30 ÷ 100 = 0.30 = 30%. Survey 1 has the larger proportion, even though Survey 2 has more students walking.

3. One graph has a vertical axis going 0 to 10. A second graph of a bigger group has its axis going 0 to 100. Why is it unfair to compare the bar heights by eye?

Show answer

The same bar height stands for very different frequencies on the two axes, and the groups are different sizes. Redraw both on a common scale, or compare relative frequencies or percentages.

Where this leads next

Once you can compare, the next step is to decide which display to draw in the first place, which is the topic of choosing a display that preserves the data meaning. Practise everything together in the data displays practice set. The non-calculator working trainer can help with fractions and percentages.

Comparison sentences are one of the places where careful wording earns marks. A teacher can read what you wrote and show where a claim needs a number behind it, which is how we work in online one-to-one Mathematics tuition.

Questions people ask

What should I compare when asked to compare two distributions?

Give one comparison of average, such as the median or mean, and one of spread, such as the range or interquartile range. Each statement must mention both groups and the context, for example 'the median time for Class A was higher than for Class B'.

Why do the two graphs need the same scale?

If the axes differ, the same shape can look steeper or wider than it really is. Drawing or reading both on the same horizontal scale lets the eye compare position and spread honestly, and a shared vertical scale compares frequency or density fairly.

When should I use proportions instead of counts?

When the two groups have different sizes. A larger group will usually have a larger count in any category, which says nothing about how typical that category is. Percentages or fractions put both groups on a common base.

Updated:

Your next step

If your comparisons are numerically correct but the written sentences lose marks, a one-to-one teacher can rehearse the wording with you until each claim points to a number.

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