What you will learn
- calculate the mean (average) of a data set,
- find the median (middle value when sorted),
- find the mode (most common value),
- find the range (max min) as a simple measure of spread,
- choose the most appropriate measure for a situation.
Five houses on a street sold for $420 000, $440 000, $450 000, $460 000, and $1 800 000 (a mansion).
- Mean: (thousands).
- Median (middle value when sorted): (thousands) — that’s $450 000.
- The mansion pulls the mean up to $714 000 — far above what four of the five houses actually cost.
- A news headline saying “average house price $714 000” is technically correct but misleading. The median ($450 000) better represents a typical house on this street.
Key idea: one outlier can drag the mean far from the centre. That is why property reports use the median — it resists extreme values.
1. Mean
The mean adds all the values and divides by how many there are.
Find the mean of .
2. Median
The median is the middle value after sorting the data from smallest to largest. If the count is even, the median is the mean of the two middle values.
Find the median of .
- Sort: .
- The middle (3rd of 5) is .
Find the median of .
Sort: . The two middle values are and .
3. Mode
The mode is the value that appears most often. A data set can have one mode, two modes (bimodal), or no mode (all values unique).
.
(bimodal).
4. Range
The range is a simple measure of spread.
5. Which measure to use?
Choosing a measure
Uses every value. Sensitive to outliers (extreme values can pull it away from the middle).
Only position matters. Not sensitive to outliers - useful when the data has extreme values.
The typical or most-common value. Useful for categorical data, where mean and median do not apply.
A small business has five salaries (in thousands): $40, $45, $50, $55, $300 (the owner).
So the mean salary is $98 000. The median (middle after sorting) is $50 000.
The mean is pulled up sharply by the owner’s high salary; the median gives a better picture of “typical” pay.
Practice
Tier 1: basic skills
- Find the mean of .
- Find the mean of .
- Find the mean of .
- Find the median of .
- Find the median of .
- Find the median of .
- Find the median of .
- Find the mode of .
- Find the mode of .
- Find the range of .
- Find the range of .
- A data set: . Find the mean.
- For the set , find the mean, median, mode, range.
Tier 2: mixed practice
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Sort the data and find the median.
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Find the mean.
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Find the mode.
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Find the range.
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If you added the value to this data set, which of mean, median, mode, range would change most? Explain briefly.
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Five students scored an average of on a test. Four of the scores are . Find the fifth score.
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The mean of numbers is . Five of them are . Find the sixth.
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A data set has mean and values. If one value is wrongly recorded as but should be , what is the correct mean?
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Give an example of a data set with mean , median , mode and range .
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Give an example of a data set with values where mean median.
Use this data for questions 1-5: .
Tier 3: explain and spot the mistake
- A student writes: “the mode is because is the biggest number in the list”. Explain the confusion and give the correct definition.
- Explain why the median is usually a better measure than the mean when a data set has a single extreme value.
- Can a data set have a mode but no mean? Can it have a mean but no mode? Explain both.
- Is the median always in the data set? Give an example where it is not.
Tier 4: real-world problems
- A cricket batter’s last scores are . Find the mean and median.
- A family has children aged . Another child aged joins. Find the new mean age.
- The daily temperatures ( degC) for a week: . Find the mean temperature and the range.
- Seven students scored an average of marks. Adding a new student with a score of changes the class size to . What is the new mean?
- A data set of values has a mean of . The smallest value is and the largest is . What is the mean of the middle values (the values with the min and max removed)?
Answer key
Attempt the practice first. When you're ready to check, expand the answers below.
Show the full answer key
Tier 1: basic skills
Fluency
- . Sorted: .
- . Sorted: ; mean of and .
- . Mean of middle two and .
- (appears three times)
- and (bimodal)
- . Method: .
- . Method: .
- Mean ; median ; mode ; range .
Tier 2: mixed practice
Mixed practice
- Sorted: ; median .
- . Method: sum ; .
- (appears three times).
- . Method: .
- Range changes most (from to ). The mode is unaffected. The median shifts only slightly; the mean goes up by about .
- . Method: total required ; subtract .
- . Method: total ; sum of five given ; .
- . Method: original total ; correction gives ; new mean .
- Any data set with all values equal to , e.g. .
- Many possible. Example: . Mean , median .
Tier 3: explain and spot the mistake
Explain and spot the mistake
- The mode is the most frequently occurring value, not the largest one. The student has confused mode with maximum (the upper end of the range). Correct: the mode is whichever value appears most often; a data set can have no mode, one mode, or multiple modes.
- The mean uses every value, so a single extreme number can pull it noticeably up or down. The median depends only on position in the sorted list, so one outlier only shifts the middle by one rank at most - hence the median remains close to the bulk of the data when there are extreme values.
- Yes to both. Categorical data (e.g. eye colours) can have a mode (most common colour) but no mean - you cannot average “red”, “blue”, “green”. A data set with all distinct numerical values (e.g. ) has a mean () but no mode, since no value repeats.
- Not always. For an even-count numerical set, the median is the average of the two middle values, which may not itself be in the data. Example: median of is , which is not in the set.
Tier 4: real-world problems
Real-world problems
- Mean ; median . Method: sum ; mean ; sort and take the th value ().
- Mean age . Method: sum ; .
- Mean degC (exactly ); range degC. Method: ; .
- New mean . Method: previous total ; new total ; .
- Mean of middle is . Method: total of all is ; remove ; remaining total ; .
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