Skip to content
IGCSE·Tuition
Mathematics · Lesson

Compare spread and centre together

Two data sets can share the same average and still behave very differently, which a one-number comparison hides.

On this page
  1. Why is the average not enough?
  2. How to compare, step by step
  3. Worked example
  4. The mistake to watch for
  5. Check yourself
  6. Where this leads next

Comparing two data sets properly needs two statements: one about the centre (mean or median) and one about the spread (range, or interquartile range). Exam questions often say “compare the distributions”, and a single statement about averages gets only part of the marks. This is a core skill in statistics and distributions.

Why is the average not enough?

An average is one number that summarises the middle of a set. It cannot show whether the values are packed tightly around it or scattered far from it. The spread answers that.

A useful picture is two archers with the same average distance from the target centre. One clusters arrows close together, the other scatters them widely. The averages match, but you would trust the first archer more in a real contest.

How to compare, step by step

  1. Choose a measure of centre for each set that suits the data (see choosing an average).
  2. Choose a measure of spread, usually the range, and check for extreme values.
  3. Calculate both for each set and write the numbers down.
  4. Write a centre comparison in context, using the numbers.
  5. Write a spread comparison in context, then link them: for example, “higher on average but less consistent”.

Worked example

Two classes sit the same test. Class A marks: 50, 55, 60, 65, 70. Class B marks: 30, 45, 60, 75, 90.

Step 1, means: Class A: 50 + 55 + 60 + 65 + 70 = 300, and 300 ÷ 5 = 60. Class B: 30 + 45 + 60 + 75 + 90 = 300, and 300 ÷ 5 = 60.

Step 2, medians: both data sets are in order, and the middle value of each is 60.

Step 3, ranges: Class A: 70 − 50 = 20. Class B: 90 − 30 = 60.

Step 4, compare:

“The two classes have the same mean and median of 60, so they are equal in their centre. Class A has a range of 20 compared with 60 for class B, so class A’s marks are more consistent. Class B has both much higher and much lower marks.”

What the answer does not say: it does not say one class is better. The data supports a statement about consistency, not about which class has the stronger students.

The mistake to watch for

A common slip is to compare only the centres, or to decide from the range alone when one extreme value is involved.

Mistaken answer: “Class A and class B have the same mean, so they performed the same.”

Equal means hide a large difference in spread.

The correction is to always finish with the spread. If the range seems odd, check for an outlier. The data set 4, 5, 5, 6, 30 has a range of 26, but the first four values span only 2, so the range is misleading and the median (5) describes the centre better.

Check yourself

Try these, then open each answer.

1. Two runners’ times in seconds. Amy: 12.0, 12.2, 12.4, 12.6, 12.8. Ben: 11.0, 11.8, 12.4, 13.0, 13.8. Find each mean and range, then say who is more consistent.

Show answer

Amy: total 62.0, mean 62.0 ÷ 5 = 12.4, range 12.8 − 12.0 = 0.8. Ben: total 62.0, mean 12.4, range 13.8 − 11.0 = 2.8.

The means are equal at 12.4 seconds. Amy’s range of 0.8 is smaller than Ben’s 2.8, so Amy is more consistent.

2. Machine A fills bottles with a mean of 500.2 ml and a range of 1.0 ml. Machine B has a mean of 500.0 ml and a range of 6.0 ml. Which machine is more reliable? Give a reason.

Show answer

Machine A. Its range of 1.0 ml is much smaller than 6.0 ml, so the fills are much more consistent. The means are almost the same, so the difference lies in the spread.

3. The data set is 4, 5, 5, 6, 30. Find the range and explain why it may be a poor summary of spread.

Show answer

Range = 30 − 4 = 26. It is poor because one extreme value (30) stretches it. The other four values lie within 2 of each other, so the range suggests more spread than most of the data shows.

Where this leads next

The next lesson, identifying an unsupported conclusion from a sample, tests whether the claim you write can actually be backed by the data. Use the statistics and distribution explorer to add an outlier and watch the range jump while the median barely moves. For more comparison questions, go to the mixed practice set.

Many students write a correct centre comparison and then forget the spread. In online one-to-one Mathematics tuition, a teacher can build a sentence frame with you and then remove it as it becomes habit.

Questions people ask

What does spread tell me that an average does not?

Spread shows how consistent the data is. Two players can both average 60 points, but one scores between 55 and 65 every game while the other swings between 30 and 90. The average gives the centre, and the spread tells you how far you can trust it.

Should I use the range or the interquartile range?

The range is quick but depends on only the two extreme values, so one outlier changes it greatly. The interquartile range covers the middle half of the data and ignores extremes. Check your syllabus and paper for which measures are expected.

How do I write a comparison that earns full marks?

Write one comparison of the centre and one of the spread, both in the context of the question. For example: 'Class A has the same mean as class B, but a smaller range, so its marks are more consistent.' Use the numbers, not just the words.

Updated:

Your next step

If your comparison answers stop at 'the mean is higher', a one-to-one teacher can help you add the second half of the sentence that earns the mark.

Paid one-hour trial at your assigned teacher’s confirmed rate, starting from RM80.

Tuition is arranged with a parent or guardian. Send them this page on WhatsApp and they can enquire for you.

Parents: enquire here

  • 9,000+ students helped through our service
  • 9+ years helping IGCSE students