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.
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
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