Quartiles & the Interquartile Range
Quartiles cut a sorted data set into four equal-count parts. The second quartile (Q2) is just the median. The first quartile (Q1) is the median of the lower half, and the third quartile (Q3) is the median of the upper half. The interquartile range, IQR = Q3 − Q1, captures the spread of the middle 50% of the data and, crucially, ignores the extremes — which makes it a robust companion to the range in exactly the way the median is a robust companion to the mean. On the GRE the reliable method is: sort, find the median, then find the median of each half. A common convention question is whether the overall median is included in the halves; for GRE purposes, when the count is odd, leave the middle value out of both halves. The IQR is what a boxplot draws as its central box, so this topic and boxplots are two views of the same idea.
✅ Solved examples
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📝 Topic test — 8 questions
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Formula Reference Sheet
Spread & the empirical rule
| Standard deviation (idea) | typical distance of values from the mean |
|---|---|
| Add constant c to all values | SD unchanged (spread does not shift) |
| Multiply all values by k | SD is multiplied by |k| |
| 68-95-99.7 rule | ≈68% within 1 SD, ≈95% within 2 SD, ≈99.7% within 3 SD of the mean |
Positional measures
| Interquartile range | IQR = Q3 − Q1 |
|---|---|
| Quartiles | Q1 = median of lower half, Q3 = median of upper half |
| kth percentile | the value below which about k% of the data falls |
| Five-number summary (boxplot) | min, Q1, median, Q3, max |