1. Three measures of the centre
A measure of central tendency is one number that represents a whole data set.
- Mean : the sum of the values divided by the number of values (the fair share).
- Median: the middle value of the data arranged in order.
- Mode: the value that occurs most often (a set may have one mode, several modes or none that stands out).
The mean uses every value, so an extreme value pulls it; the median is not affected by extreme values.
| Measure | How it is found | Think of it as |
|---|---|---|
| Mean | sum of all values number of values | the fair share |
| Median | middle value of the arranged data | the halfway point |
| Mode | value with the highest frequency | the most common value |
Formulas
- Mean of raw data
Key terms
- Mean
The sum of all values divided by the number of values: .
- Median
The middle value of the arranged data (the mean of the two middle values when is even).
- Mode
The value with the highest frequency.
2. Mean of raw data
Add all the values and divide by how many there are.
Example: for the sum is and the mean is .
Useful facts: if every value is increased by the mean increases by ; if every value is multiplied by the mean is multiplied by . When the mean is given, total = mean number of values finds a missing value or the effect of replacing a value.
| Measure | Working | Result |
|---|---|---|
| Mean | ||
| Arranged data | ||
| Median | middle (4th) of values | |
| Mode | occurs twice, the rest once |
| Step | Working |
|---|---|
| Old total | |
| Replace by | |
| New mean | |
| Shortcut | total rises by , so the mean rises by |
Formulas
- Total from the mean
Key terms
- Total
The sum of all the values, equal to mean number of values.
3. Median and mode of ungrouped data
Median. Arrange the values in order. If is odd, the median is the th value. If is even, it is the mean of the th and the next value.
Example: (): median .
Mode. The value that occurs most often: here . A data set can have two modes (bimodal).
| Measure | Working | Result |
|---|---|---|
| Mean | ||
| Arranged data | ||
| Median | ||
| Mode | occurs twice |
Key terms
- Arranged data
Data written in ascending (or descending) order; needed before finding the median.
- Bimodal
Data with two values tied for the highest frequency.
4. Frequency distribution of single values
Each value is listed with its frequency .
- Mean: .
- Median: make a cumulative frequency column; with observations take the th (odd ) or the mean of the th and next (even ).
- Mode: the value with the greatest frequency.
Example: goals in matches: , mean , median , mode .
| Goals | Matches | |
|---|---|---|
| Total |
| Goals | Matches | Cumulative frequency | |
|---|---|---|---|
| Total |
- matches
Formulas
- Mean of a frequency distribution
Key terms
- Frequency
The number of times a value (or class) occurs.
- Cumulative frequency
The running total of frequencies up to and including a class or value.
5. Grouped data, class marks and the direct method
In grouped data each class is represented by its class mark .
- Continuous classes (–, –): class mark , ,
- Discontinuous classes (–, –): class mark , ,
Direct method: find , then , then .
Example: reading minutes with and give .
| Type of class | Example | Class mark |
|---|---|---|
| Continuous | –, – | |
| Discontinuous (inclusive) | –, – | |
| General rule | class limits and |
| Class | Class mark | ||
|---|---|---|---|
| 20–30 | |||
| 30–40 | |||
| 40–50 | |||
| 50–60 | |||
| 60–70 | |||
| Total |
| Class | Class mark | ||
|---|---|---|---|
| 20–29 | |||
| 30–39 | |||
| 40–49 | |||
| 50–59 | |||
| 60–69 | |||
| Total |
Formulas
- Class mark
- Direct method
Key terms
- Class mark
The middle value of a class: half the sum of its lower and upper limits.
- Continuous class
A class whose upper limit is the next class's lower limit, such as –, –.
- Discontinuous class
A class with a gap between classes, such as –, –.
6. Short-cut (assumed mean) and step-deviation methods
Choose an assumed mean (a class mark near the middle).
- Short-cut: and .
- Step deviation: with equal class width , and .
All three methods give the same mean. Example: electricity data, : ; step deviation with : .
| Quantity | Meaning | Formula |
|---|---|---|
| assumed mean, chosen near the middle (a class mark) | ||
| deviation of a class mark from | ||
| total of (may be negative) | ||
| Mean | assumed mean plus the average deviation |
| Class | ||||
|---|---|---|---|---|
| 100–120 | ||||
| 120–140 | ||||
| 140–160 | ||||
| 160–180 | ||||
| 180–200 | ||||
| Total |
| Class | ||||
|---|---|---|---|---|
| 150–175 | ||||
| 175–200 | ||||
| 200–225 | ||||
| 225–250 | ||||
| 250–275 | ||||
| 275–300 | ||||
| Total |
| Method | Working for the electricity figures | Mean |
|---|---|---|
| Direct | ||
| Assumed mean | ||
| Step deviation , |
Formulas
- Short-cut method
- Step-deviation method
Key terms
- Assumed mean
A convenient value , usually a class mark near the middle, used to reduce the arithmetic.
- Deviation
, which can be negative.
- Step deviation
, the deviation divided by the class width.
7. Missing frequency and changed data
Missing frequency. If the mean is given and one frequency is unknown, write and in terms of and use .
Example: frequencies in classes – to – with mean : , so . With two unknowns, use the total frequency as a second equation.
Changed data. Work with totals: replacing by in numbers of mean gives . Combined mean .
| Step | Working |
|---|---|
| Class marks | |
| Totals | and |
| Use the mean | |
| Solve | , so |
| Check |
| Step | Working |
|---|---|
| Old total | |
| Replace by | |
| New mean | |
| Shortcut | total rises by , so the mean rises by |
Formulas
- Equation for a missing frequency
Key terms
- Combined mean
for two groups.
8. Median class and modal class of grouped data
- Median class: find and the cumulative frequencies; the median class is the first class whose cumulative frequency is at least .
- Modal class: the class with the highest frequency.
Example: ages of members, cumulative frequencies : lies in – (median class); the highest frequency gives the modal class –. The two can be different classes.
Not in the ICSE 2027 syllabus: calculating the median or mode of grouped data by formula; only the median class and the modal class are identified.
| Class | Frequency | Cumulative frequency |
|---|---|---|
| 20–30 | ||
| 30–40 | ||
| 40–50 | ||
| 50–60 | ||
| 60–70 | ||
| 70–80 |
- members
| Age (years) | Cumulative frequency | |
|---|---|---|
| 20–30 | ||
| 30–40 | ||
| 40–50 | ||
| 50–60 | ||
| 60–70 | ||
| 70–80 | ||
| Total |
Key terms
- Median class
The first class whose cumulative frequency reaches .
- Modal class
The class with the highest frequency.
Exam tips
How marks are awarded
- Mean, median or mode of raw data (2 marks): sum or arranged data shown 1; answer 1.
- Mean of a frequency distribution or grouped data (3–4 marks): class marks 1; products or deviations 1; totals 1; mean 1.
- Missing frequency (3–4 marks): totals in 1; equation 1; 1; check 1.
- 10-mark structured question: parts (a), (b), (c) usually 3 + 3 + 4; show all working in a table.
Common mistakes
- Finding the median without arranging the data first.
- Averaging the values of a frequency table without using the frequencies.
- Using the class limits instead of the class marks.
- Forgetting to multiply by at the end of the step-deviation method, or a sign slip when .
- Taking the class with the largest cumulative frequency (or the modal class) as the median class.
- Not checking a missing frequency by substituting back.