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Year 10 Maths - 10 Statistics

Comparing Data Distributions

20 practice questions 0 video lessons Theory + worked examples
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Theory

To compare two or more data sets, compare their centre, spread and shape. This Year 10 maths page shows how to read parallel box plots drawn on the same scale, compare medians, IQRs and ranges, decide which group is more consistent, describe each shape, and make statements about percentages and counts of each group. In the Victorian Curriculum this is Level 10 content; in the Australian Curriculum it is Year 10 content. Curriculum: VC2M10ST01 / AC9M10ST02.

Parallel box plots (side-by-side box plots) show the five-number summaries of two or more data sets, one above the other, on one common scale.

Compare three things. Centre: the group with the higher median generally has higher scores. Spread: a smaller IQR (shorter box) or range means the scores are closer together, so the group is more consistent. Shape: symmetrical or skewed, and any outliers.

Comparing a quartile of one group with a quartile of another gives percentage statements. If group A's \(Q_3\) is below group B's median, then at least \(75\%\) of A is below at least half of B.

A good comparison names the statistic and the numbers: "Class B's median (\(72\)) is \(10\) marks higher than Class A's (\(62\))."

Parallel box plots of two classesClass A: 40, 55, 62, 68, 80. Class B: 35, 60, 72, 82, 88. Dashed lines at the medians 62 and 72 show Class B is higher. Class B's box is longer, so its middle half is more spread out. 30405060708090Mark Class A Class B medians
Use the same scale. Compare the medians for the centre and the boxes (IQR) for the spread.
Comparing a quartile of one group with the median of anotherWalk times: 5, 10, 14, 20, 38. Bus times: 12, 18, 26, 31, 52. The walk upper quartile 20 is below the bus median 26. 0102030405060Minutes Walk Bus walk Q₃ < bus median
The walk \(Q_3\) is below the bus median, so at least \(75\%\) of walk times are shorter than at least half of the bus times.
To compareUseLarger value means
Centremediangenerally higher scores
Spread of the middle halfIQR \(= Q_3 - Q_1\)less consistent
Overall spreadrange \(= \max - \min\)more spread out (affected by outliers)
\[\begin{aligned}&\text{number in a section}\\ &\quad= \text{percentage} \times \text{that group's total}\end{aligned}\]
number=percentage×group total
Groups of different sizes. Percentages compare fairly; counts do not. \(25\%\) of \(40\) is \(10\) but \(25\%\) of \(120\) is \(30\).
Mean versus median. In a positively skewed group the mean is usually above the median; in a negatively skewed group, below it.

How to compare parallel box plots

  1. Read the five-number summary of each group from the common scale.
  2. Compare the medians: which is higher, and by how much?
  3. Compare the IQRs and ranges: which group is more consistent?
  4. Describe the shape of each and note any outliers.
  5. Conclude in context, quoting the numbers.

Statements about percentages

  1. Find where the given value sits on that group's plot: min, \(Q_1\), median, \(Q_3\) or max.
  2. Count quarters: below \(Q_1\) is \(25\%\), below the median \(50\%\), below \(Q_3\) \(75\%\).
  3. Multiply by that group's total for a count.
Example 1 β€” Centre and spread
The parallel box plots show science test marks for two classes.
(i) How much higher is 10Q's median?
(ii) Find each IQR and range.
(iii) Which class is more consistent?
Solution
Science marks for classes 10P and 10QParallel box plots. 10P: 38, 52, 61, 70, 88. 10Q: 45, 58, 66, 72, 84. 30405060708090Mark (%) 10P 10Q

Read each five-number summary: 10P \(38, 52, 61, 70, 88\); 10Q \(45, 58, 66, 72, 84\).

\(\text{(i) } 66 - 61\)\(=\)\(\mathbf{5}\text{ marks}\)
\(\text{IQR}_P\)\(=\)\(70 - 52 = \mathbf{18},\) \(\text{range}_P = 88 - 38 = \mathbf{50}\)
\(\text{IQR}_Q\)\(=\)\(72 - 58 = \mathbf{14},\) \(\text{range}_Q = 84 - 45 = \mathbf{39}\)
IQRQ=72−58=14

(iii) 10Q has the smaller IQR and range, so its marks are closer together: 10Q is more consistent. It also has the higher median.

Example 2 β€” Percentages and counts
Each shop made \(60\) deliveries.
(i) About how many of Shop A's deliveries took \(25\) minutes or less?
(ii) What percentage of Shop B's took longer than \(22\) minutes?
(iii) True or false: Shop A's median is lower than Shop B's.
Solution
Delivery times for two shopsParallel box plots of 60 deliveries each. Shop A: 12, 20, 25, 31, 46. Shop B: 15, 22, 28, 33, 40. 101520253035404550Delivery time (min) Shop A Shop B
\(\text{(i) } 25 = \text{median}_A\)\(\Rightarrow\)\(50\% \text{ of } 60 = \mathbf{30}\)
\(\text{(ii) } 22 = Q_1 \text{ of } B\)\(\Rightarrow\)\(\text{above } Q_1 = \mathbf{75\%}\)
\(\text{(iii) } 25\)\(<\)\(28 \Rightarrow \textbf{true}\)
50%×60=30

First decide which of the five values the number is on that group's plot, then use quarters of that group's total.

Example 3 β€” Drawing and comparing
Kilometres cycled on \(11\) days. Ana: \(8, 10, 11, 12, 12, 14, 15, 15, 16, 18, 21\). Ben: \(5, 6, 9, 12, 15, 16, 17, 20, 22, 24, 30\). Draw parallel box plots and compare.
Solution

\(11\) scores each: the median is the 6th; the halves are the 5 scores either side.

\(\text{Ana}\)\(:\)\(8,\ 11,\ 14,\ 16,\ 21\)
\(\text{Ben}\)\(:\)\(5,\ 9,\ 16,\ 22,\ 30\)
Ana:8,11,14,16,21
Parallel box plots for Ana and BenAna: 8, 11, 14, 16, 21. Ben: 5, 9, 16, 22, 30. 05101520253035Kilometres Ana Ben

Centre: Ben's median (\(16\) km) is higher than Ana's (\(14\) km). Spread: Ben's IQR is \(13\) km and range \(25\) km; Ana's are \(5\) km and \(13\) km. Ben usually rides further but varies much more; Ana is more consistent.

Example 4 β€” Shape and outliers

(i) Describe the shape of each group.
(ii) Is the maximum of \(Y\) an outlier?
(iii) For which group is the mean likely to be greater than the median?
Solution
Parallel box plots of groups X and YGroup X: 20, 30, 35, 40, 50. Group Y: 20, 24, 27, 36, 60. 152535455565 X Y

(i) \(X\): every section is \(5\) or \(10\) long and balanced about the median: symmetrical. \(Y\): short on the left (\(4, 3\)), long on the right (\(9, 24\)): positively skewed.

\(\text{(ii) IQR}_Y\)\(=\)\(36 - 24 = 12\)
\(\text{upper limit}\)\(=\)\(36 + 1.5 \times 12 = 54\)
\(60\)\(>\)\(54 \Rightarrow \textbf{outlier}\)
36+1.5×12=54

(iii) Group \(Y\): its long right tail (and the outlier) pull the mean above the median.

Common pitfalls

Same scale, same reading. Read every plot from the one shared scale. Check the step size before reading values.
Smaller IQR is more consistent. Consistency is about spread, not about which group scored higher.
Use each group's own total. If one group has \(40\) people and the other \(120\), a quarter is \(10\) in one and \(30\) in the other.
Overlap is not everything. "Every score in A is below every score in B" needs A's maximum below B's minimum. Overlapping whiskers make it false.

Frequently asked questions

What are parallel box plots used for?

They compare two or more data sets by drawing their box plots on the same scale, so you can compare the medians, the spreads and the shapes at a glance.

How do you compare two box plots?

Compare the medians for the centre, the interquartile ranges and ranges for the spread, and the shapes, including any outliers. Quote the numbers in your answer.

Which box plot is more consistent?

The one with the smaller interquartile range, because its middle half of scores are closer together. A smaller range also suggests consistency, but the range is affected by outliers.

What does it mean if one median is above the other box?

If one group's median is above the other group's upper quartile, at least half of the first group scored more than at least three quarters of the second. It is a strong sign the first group scored higher.

Why must parallel box plots use the same scale?

Only a common scale lets you compare positions and lengths directly. Two box plots on different scales can look alike even when their values are very different.