Boxplots

Tier: #Foundation #Higher

🔗What you need to know first
How to

A box plot (box-and-whisker diagram) displays the spread and centre of a dataset using five key values:

  • Minimum value
  • Lower quartile (Q1)
  • Median (Q2)
  • Upper quartile (Q3)
  • Maximum value

The box spans from Q1 to Q3 (the interquartile range), with a vertical line at the median. Whiskers extend from the box to the minimum and maximum.

$$\text{IQR} = Q3 - Q1$$

Box plots are useful for comparing two distributions — draw them on the same scale and comment on medians (centre) and IQRs (spread).

Reading a box plot: the wider the box, the more spread out the middle 50% of data.

Common error: marking the median at the midpoint of the box rather than reading its actual value. Also: confusing the range with the IQR — the range uses min and max, not Q1 and Q3.

Questions to practise

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📝Past paper questions
💬What the examiners say
  • "Stronger responses showed an understanding that there was an even number of people in the sample, and this meant that the median didn't have to be an explicit value in the data set, but that it was the mean of the middle two values."
⬆️How you can quickly improve
  • Find all five values before drawing anything: minimum, Q1, median, Q3, and maximum. Write them as a list first, then plot.
  • When comparing distributions, write two separate sentences — one using the median (typical value) and one using range or IQR (consistency) — and relate both to the real-world context.
  • Use precise statistical language throughout: median rather than average, IQR = Q3 minus Q1 rather than 'spread', and explain what each tells you about the data.
  • Find Q1 and Q3 by locating the median first, then taking the median of the lower and upper halves separately — write the actual values before plotting.
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