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Tiếng Việt

Measures of dispersion

Lesson 5.3 · 18 min read · Updated

Two basketball players both average 88 points a game. One scores 7,8,97, 8, 9 night after night; the other scores 0,8,160, 8, 16. Same mean, completely different players: one is steady, one is a gamble. The mean alone hides this. To describe data honestly we also need a number for how spread out it is.

Range and interquartile range

The range is easy but depends only on two values, so one extreme value ruins it. The interquartile range ignores the extremes.

Variance and standard deviation

Both measures above ignore most of the data. The variance uses every value: it is the average of the squared distances from the mean.

The standard deviation ss has the same unit as the data, which makes it easier to interpret. A small ss means the values hug the mean; a large ss means they are scattered.

The box plot

A box plot draws five numbers: the minimum, Q1Q_1, the median, Q3Q_3 and the maximum. The box covers the middle half of the data and the "whiskers" reach out to the extremes.

4Q₁MQ₃11
Box plot of 4,6,7,7,8,9,10,114, 6, 7, 7, 8, 9, 10, 11

Outliers

A value is an outlier if it lies far from the bulk of the data. A common rule: xx is an outlier if x<Q1−1.5 ΔQorx>Q3+1.5 ΔQ.x<Q_1-1.5\,\Delta_Q\qquad\text{or}\qquad x>Q_3+1.5\,\Delta_Q.

Key terms

Summary

  • R=xmax⁡−xmin⁡R=x_{\max}-x_{\min} and ΔQ=Q3−Q1\Delta_Q=Q_3-Q_1.
  • s2=1n∑(xi−xˉ)2=x2‾−xˉ2s^2=\frac1n\sum(x_i-\bar{x})^2=\overline{x^2}-\bar{x}^2 and s=s2s=\sqrt{s^2}.
  • A smaller ss (or ΔQ\Delta_Q) means more consistent data.
  • xx is an outlier if x<Q1−1.5ΔQx<Q_1-1.5\Delta_Q or x>Q3+1.5ΔQx>Q_3+1.5\Delta_Q.

Practice

Show solutions
  1. R=11−3=8R=11-3=8. Q1=3+52=4Q_1=\frac{3+5}{2}=4, Q3=9+112=10Q_3=\frac{9+11}{2}=10, so ΔQ=6\Delta_Q=6.
  2. xˉ=5\bar{x}=5. Squared deviations: 9,1,1,1,0,0,4,169, 1, 1, 1, 0, 0, 4, 16, sum 3232. s2=328=4s^2=\frac{32}{8}=4 and s=2s=2.
  3. xˉ=6\bar{x}=6 and every deviation is 00, so s2=0s^2=0. All values are equal: there is no spread.
  4. xˉ=7\bar{x}=7 and x2‾=9+25+49+81+1215=2855=57\overline{x^2}=\frac{9+25+49+81+121}{5}=\frac{285}{5}=57. s2=57−49=8s^2=57-49=8 and s=8≈2.83s=\sqrt8\approx 2.83.
  5. For A, s≈2.11s\approx 2.11; for B, s≈0.78s\approx 0.78. B has the smaller standard deviation, so B is more consistent.
  6. Q1=3Q_1=3, Q3=9Q_3=9 (median 66 left out), ΔQ=6\Delta_Q=6, 1.5ΔQ=91.5\Delta_Q=9. Upper fence =9+9=18=9+9=18. Since 40>1840>18, it is an outlier.
  7. The new data is 8,10,12,14,168, 10, 12, 14, 16: the mean becomes 1212 (it increases by 55), while s=8≈2.83s=\sqrt8\approx 2.83 does not change. Shifting all values does not change the spread.
  8. The new data is 6,10,14,18,226, 10, 14, 18, 22 with mean 1414. s2=64+16+0+16+645=32s^2=\frac{64+16+0+16+64}{5}=32 and s=32≈5.66s=\sqrt{32}\approx 5.66. The variance is multiplied by 44 and ss by 22.
  9. Mean 88 gives 4+6+8+10+x=404+6+8+10+x=40, so x=12x=12. Deviations −4,−2,0,2,4-4, -2, 0, 2, 4, squares sum to 4040. s2=405=8s^2=\frac{40}{5}=8.
  10. xˉ=204=5\bar{x}=\frac{20}{4}=5. s2=1204−52=30−25=5s^2=\frac{120}{4}-5^2=30-25=5.