The semi-interquartile range Q = (Q3 − Q1) ÷ 2 from a list, a stem-and-leaf plot and a frequency table, and comparing spread
The range uses only the two extreme values, so one unusual value can change it a great deal. The semi-interquartile range ignores the extremes: it is half the length of the box, Q = (Q₃ − Q₁) ÷ 2, and it measures the spread of the middle half of the data. The whole difference Q₃ − Q₁ is called the interquartile range. To find Q, find Q₁ and Q₃ by the rule that fits the data (list or plot: the places (n + 1) ÷ 4 and 3(n + 1) ÷ 4; table: the places n ÷ 4 and 3n ÷ 4 and the formula), subtract and halve. The advantages of Q: extreme values hardly move it, and it is easy to calculate. Its disadvantage: it does not use all the values, because it ignores the lowest and the highest quarter. A small Q means that the middle of the data is close together; a large Q that it is spread out.
| Class | Frequency | Less than | Cumulative frequency |
|---|---|---|---|
| 0 | 0 | ||
| 0– | 4 | 10 | 4 |
| 10– | 13 | 20 | 17 |
| 20– | 19 | 30 | 36 |
| 30– | 10 | 40 | 46 |
| 40–50 | 4 | 50 | 50 |
Two classes took the same quiz. Class X has Q = 3 and class Y has Q = 8, and the medians are equal. Write two sentences about which class is more consistent, and one about what Q cannot tell you.
| Stem | Leaves |
|---|---|
| 5 | 5 8 9 |
| 6 | 2 4 6 8 9 |
| 7 | 0 1 2 3 4 7 |
| 8 | 0 |