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Summary Statistics

Foundation Mathematics
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Summary Statistics

Foundation Mathematics
01 May 2026

Summary Statistics: Mode, Median, Mean and Range

Overview

Summary statistics (also called descriptive statistics) are single numbers that describe key features of a dataset. In Foundation Mathematics, four statistics are used: mode, median, mean, and range.

KEY TAKEAWAY: No single statistic tells the whole story. Mean, median, mode and range each reveal a different aspect of the data — use them together.

The Four Summary Statistics

Mode

The value that appears most frequently in the dataset.

  • A dataset can have no mode, one mode (unimodal), or two modes (bimodal)
  • Mode is the only measure that can be used for categorical data

Example: \$3, 5, 5, 7, 8, 5, 9, 3$
$$\text{Mode} = 5 \quad (\text{appears 3 times})$$

Median

The middle value when data is arranged in order. It is not affected by extreme values (outliers).

Odd number of values: The middle value.
$\$1, 3, 5, 7, 9 \quad \text{Median} = 5$$

Even number of values: The mean of the two middle values.
$\$2, 4, 6, 8 \quad \text{Median} = \frac{4 + 6}{2} = 5$$

Mean

The arithmetic average: divide the sum of all values by the count.

$$\bar{x} = \frac{\text{sum of all values}}{\text{number of values}} = \frac{\sum x}{n}$$

Example: \$4, 7, 2, 9, 3$
$$\bar{x} = \frac{4 + 7 + 2 + 9 + 3}{5} = \frac{25}{5} = 5$$

EXAM TIP: Always add up all values first, then divide. A common error is dividing too early.

Range

The spread of the data — the difference between the maximum and minimum values.

$$\text{Range} = \text{Maximum} - \text{Minimum}$$

Example: Dataset: \$4, 7, 2, 9, 3$
$$\text{Range} = 9 - 2 = 7$$

A large range indicates the data is widely spread; a small range indicates the data is clustered.

Which Measure to Use?

Situation Best Measure Reason
Categorical data Mode Only valid average for categories
Data with outliers Median Not affected by extreme values
Symmetric data, no outliers Mean Uses all values, most precise
Comparing spread Range Shows how spread out the data is

Example — outlier effect:
Salaries: $\$42000, \$45000, \$43000, \$44000, \$180000$
$$\text{Mean} = \frac{42000+45000+43000+44000+180000}{5} = \$70800$$
$$\text{Median} = \$44000$$

The mean ($\$70800$) is much higher than most salaries due to the outlier ($\$180000$). The median ($\$44000$) better represents the typical salary.

COMMON MISTAKE: Forgetting to sort the data before finding the median. Always arrange values from smallest to largest first.

Worked Example — Complete Calculation

Test scores: \$65, 72, 58, 80, 72, 91, 58, 72$

Step 1 — Sort: \$58, 58, 65, 72, 72, 72, 80, 91$

Step 2 — Mode: $72$ (appears $3$ times)

Step 3 — Median: $n = 8$ (even) → middle two values are $72$ and $72$:
$$\text{Median} = \frac{72 + 72}{2} = 72$$

Step 4 — Mean:
$$\bar{x} = \frac{58+58+65+72+72+72+80+91}{8} = \frac{568}{8} = 71$$

Step 5 — Range:
$\$91 - 58 = 33$$

VCAA FOCUS: VCAA tasks may give you a dataset and ask for one or more summary statistics, or ask you to compare two datasets using these statistics. Show all working steps clearly.

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