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Five-Number Summary & Boxplots

General Mathematics
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Five-Number Summary & Boxplots

General Mathematics
01 May 2026

Five-Number Summary and Boxplots

The Five-Number Summary

The five-number summary describes a dataset using five key values:

Value Symbol Meaning
Minimum Min Smallest value (excluding outliers)
Lower quartile $Q_1$ 25th percentile
Median $M$ or $Q_2$ 50th percentile
Upper quartile $Q_3$ 75th percentile
Maximum Max Largest value (excluding outliers)

Identifying Outliers

Before drawing a boxplot, test for outliers using the fence method:

$$\text{Lower fence} = Q_1 - 1.5 \times \text{IQR}$$
$$\text{Upper fence} = Q_3 + 1.5 \times \text{IQR}$$

Any value outside these fences is an outlier and is plotted as a separate dot (×) on the boxplot.

Constructing a Boxplot

A boxplot (box-and-whisker plot) is drawn on a number line:

        |-------
  *     |  box  |       *
--|-----|-------|-------|-------->
 Min   Q1   Median   Q3  Max
       (whisker)  (whisker)
  • The box spans from $Q_1$ to $Q_3$ (the IQR)
  • A line inside the box marks the median
  • Whiskers extend from the box to the most extreme non-outlier values
  • Outliers (×) are plotted as individual points beyond the whiskers

Worked Example

Data: 4, 7, 8, 9, 11, 12, 13, 15, 16, 25

Step 1: Sort and find five-number summary
- Min = 4, $Q_1$ = 8, Median = 11.5, $Q_3$ = 15, Max = 25

Step 2: Calculate IQR and fences
- IQR = \$15 - 8 = 7$
- Lower fence = \$8 - 1.5(7) = 8 - 10.5 = -2.5$
- Upper fence = \$15 + 1.5(7) = 15 + 10.5 = 25.5$

Step 3: Check for outliers
- All values lie within $[-2.5, 25.5]$, so 25 is not an outlier (it is exactly within the fence)

Boxplot description: Box from 8 to 15, median line at 11.5, left whisker to 4, right whisker to 25.

Reading Distributions from Boxplots

Feature What it indicates
Median near centre of box Symmetric distribution
Median closer to $Q_1$ Positively skewed
Median closer to $Q_3$ Negatively skewed
Long right whisker Positive skew / large upper values
Long left whisker Negative skew / large lower values
Outlier points (×) Unusually extreme values

Comparing Boxplots

When two boxplots are drawn on the same scale (side-by-side), compare:
1. Centre (medians) — which group has higher typical values?
2. Spread (IQR, range) — which group is more variable?
3. Shape (skew, symmetry)
4. Outliers — which group has more extreme values?

KEY TAKEAWAY: The box represents the middle 50% of data. Wider boxes = more spread. The position of the median line within the box reveals skew.

EXAM TIP: VCAA often asks you to compare two distributions from boxplots. Address centre, spread, AND shape in your response, using actual values from the plot.

COMMON MISTAKE: Drawing whiskers to the min/max regardless of outliers. Always check fences first — whiskers only extend to the most extreme non-outlier value.

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