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- Measures of Location and Spread
- Measures of Spread
Measures of Spread
An average alone doesn’t describe data — you also need to know how spread out it is. The range, interquartile range and interpercentile range each measure spread, with different sensitivity to extreme values.
What you'll be able to do
- Calculate the range
- Calculate the interquartile range (IQR)
- Calculate an interpercentile range
- Choose a suitable measure of spread
Range and interquartile range
The is simply the largest minus the smallest value — easy, but distorted by outliers. The (IQR) is , the spread of the middle 50%, and is resistant to outliers.
Example 1If and , find the IQR.
Interpercentile range
An is the difference between two percentiles, e.g. the 10th to 90th percentile range, . It captures the spread of the central part of the data while trimming the extremes.
Choosing a measure
Use the range for a quick, simple spread; use the IQR or an interpercentile range when outliers would distort the picture — they focus on the bulk of the data.
Tip — Outliers around? Prefer the IQR or interpercentile range over the range.
Formula recap
Common mistakes to avoid
Key takeaways
- Range = max − min (sensitive to outliers).
- IQR = Q₃ − Q₁ — the middle 50%, robust to outliers.
- Interpercentile ranges (e.g. P₉₀ − P₁₀) trim the extremes.
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 chapterMeasures of Central TendencyUnderstanding mean, median, and mode as measures of central tendency.
- Same chapterOther Measures of LocationUnderstanding quartiles, percentiles, and other location measures.
- Same chapterVariance and Standard DeviationCalculating and interpreting variance and standard deviation.
Put the methods into practice: see how A-Level maths duels work. An account is required to play; the overview and sample are public.