Box Plots
A box plot summarises a data set with five numbers: the minimum, the three quartiles and the maximum. It shows the spread and skew at a glance, and is perfect for comparing two data sets side by side.
What you'll be able to do
- Identify the five-number summary
- Draw a box plot
- Show outliers on a box plot
- Compare two data sets using box plots
The five-number summary
A box plot is built from five values: the minimum, lower quartile , median , upper quartile , and the maximum. The box spans to (the IQR), with a line at the median; whiskers reach to the smallest and largest non-outlier values.
Showing outliers
If there are outliers, the whisker stops at the most extreme value that is an outlier, and each outlier is marked with a cross ().
Tip — Whiskers go to the last value inside the fences; plot outliers separately as crosses.
Comparing data
Two box plots on the same scale make comparison easy: compare a measure of location (e.g. medians) and a measure of spread (e.g. IQRs), and always interpret in context.
Example 1Box A has median 50, Box B median 40. What can you say?
Formula recap
Common mistakes to avoid
Key takeaways
- Box plot = min, Q₁, median, Q₃, max.
- The box is the IQR; whiskers reach the extreme non-outliers; outliers are crosses.
- Compare medians (location) and IQRs (spread) in context.
Test yourself
Answer a few questions, then review anything you missed.
Keep practising
Start with the quiz above to check the key ideas. You can also choose another topic from the practice library.
Related lessons
All 5 lessons- Same chapterOutliersIdentifying and handling outliers in data sets.
- Same chapterCumulative FrequencyUnderstanding cumulative frequency tables and graphs.
- Same chapterHistogramsCreating and interpreting histograms for grouped data.
Put the methods into practice: see how A-Level maths duels work. An account is required to play; the overview and sample are public.