The Mode and Range
Find the most frequent value and measure total spread — two simple but essential statistical tools for any dataset.
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Before you read on — quickly: A shoe shop sells sizes 7, 8, 7, 9, 7, 8, 10, 7, 8. The manager needs to order more stock. Should she order the mean shoe size, the median shoe size, or the most popular shoe size? Why? Try it, then check your reasoning as you go.
The mode is the value that occurs MOST often in a dataset. It can have none, one, or multiple modes. The range measures total spread: Range = Maximum − Minimum. Together they answer “what is most popular?” and “how spread out is the data?”
Dataset: 5, 8, 3, 8, 7, 5, 8, 3, 5. Count each value: 3→2, 5→3, 7→1, 8→3. Both 5 and 8 appear 3 times — this is bimodal. Range = 8 − 3 = 5. The range tells you the data spans 5 units. Mode tells you popularity; range tells you spread.
Know
- Mode = value that appears most often
- Range = Maximum − Minimum
- A dataset can have no mode, one mode, or many modes
Understand
- Why bimodal and multimodal datasets arise
- What a large or small range tells you about spread
- Why the mode is appropriate for categorical data
Can Do
- Find the mode from a list or frequency table
- Calculate range and interpret it in context
- Choose between mean, median and mode for any scenario
Wrong: Listing the FREQUENCY as the mode. For {3,3,5,5,5}, the mode is 5 (appears 3 times) — NOT 3 (its frequency).
Right: The mode is always the DATA VALUE with the highest count, not the count itself. Say “mode = 5” and note “it appears 3 times” separately.
Wrong: Saying “no mode” when values appear the same number of times but SOME appear more than others. Only say “no mode” when all values appear equally.
Right: Check ALL frequencies. If any value has a higher count than the rest, that is the mode. “No mode” only applies when every value appears the same number of times.
From a raw list: tally how often each value appears — the highest tally wins. From a frequency table: scan the frequency column for the largest number, then read the corresponding value.
List: 5, 8, 3, 8, 7, 5, 8, 3, 5. Tally: 3→2, 5→3, 7→1, 8→3. Highest count = 3, shared by 5 and 8. This dataset is bimodal — modes are 5 and 8. From a frequency table: find the row with the largest frequency, then read its value (not the frequency number).
The range is a measure of spread, not centre. Range = Maximum − Minimum. A large range means data is widely spread; a small range means values cluster together. The range uses only the two extreme values, so one outlier can inflate it dramatically.
Scores: 23, 45, 12, 67, 34. Maximum = 67. Minimum = 12. Range = 67 − 12 = 55. In context: “The scores spread across a range of 55 marks.” Compare two classes with the same mean: Class A range = 10 (consistent), Class B range = 80 (wildly variable) — the range reveals what the mean hides.
Each measure of centre has its best context. Categorical data (colours, flavours, sizes) → only mode works. Skewed data or outliers → median. Symmetric data, no outliers → mean.
Scenario: favourite pizza toppings in a class. Toppings are categories — you cannot average “Hawaiian” and “Margherita”. Only the mode (most popular topping) makes sense. Now if data is exam scores with one very high score (outlier), use the median. If scores are symmetric with no outliers, use the mean.
Watch Me Solve It · 3 examples
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1Tally each value’s frequency3 → 2 times 5 → 3 times 7 → 1 time 8 → 3 timesGo through the list carefully. Every value must be counted.
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2Find the highest frequencyHighest frequency = 3. Both 5 and 8 appear 3 times.
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3State the modesThis dataset is bimodal. Modes = 5 and 8.Report all modes. Never report just one when two values tie. The mode is the VALUE (5 and 8), not the count (3).
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1Identify the maximum and minimumMaximum = 67 Minimum = 12Scan all values. The range only uses these two extreme values.
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2Calculate the rangeRange = 67 − 12 = 55
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3Interpret in contextThe scores spread across 55 marks — quite a wide variation in performance.A range of 55 on a typical 100-mark test suggests the group is not performing consistently.
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1Pizza toppings: identify the data typeToppings (Hawaiian, Margherita, BBQ…) are categorical. You cannot average category names.Mean and median require numerical ordering. Categories only support counting — so mode is the only valid measure.
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2Pizza toppings: answerUse the mode — it identifies the most popular (most frequently chosen) topping.
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3Exam scores with outlier: answerUse the median — the outlier inflates the mean, making it unrepresentative. Median is resistant.One very high score raises the mean well above most students’ actual performance. Median ignores the magnitude of that outlier.
The Mode
- Mode = value with the highest frequency
- Can have no mode, one mode, or many
- Bimodal = 2 modes tied for highest
- Report the VALUE, not the count
The Range
- Range = Maximum − Minimum
- Measures spread, not centre
- Large range = widely spread data
- One outlier can inflate range greatly
Choose the Right Measure
- Mean: symmetric, no outliers
- Median: skewed or outliers present
- Mode: categorical data or “most popular”
Spot the Traps
- Mode = value, not frequency count
- “No mode” only when all frequencies equal
- Range affected by outliers
- Categories: mode only (no mean/median)
How are you completing this lesson?
Brain Trainer · 4 problems
Four drill problems to sharpen your mode and range skills. Work each, then reveal the answer.
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1 Mode of: 5, 8, 3, 8, 7, 5, 8, 3, 5
Tally: 3→2, 5→3, 7→1, 8→3. Both 5 and 8 appear 3 times.Bimodal: modes are 5 and 8 -
2 Mode of shoe sizes: 7, 8, 9, 7, 8, 7, 9, 8, 7
Tally: 7→4, 8→3, 9→2. Highest count is 4 for size 7.Mode = 7 -
3 Range of: 23, 45, 12, 67, 34
Max = 67, Min = 12. Range = 67 − 12.Range = 55 -
4 Would you use mean or mode to describe the most popular YouTube category? Why?
YouTube categories are categorical (Gaming, Music, etc.). You cannot calculate a mean of labels. The mode identifies which category appears most — i.e. the most popular.Mode (categories cannot be averaged)
Quick Check · 5 questions
Show Your Working · 3 questions
Q6. A frequency table shows: Score 2 (freq 4), Score 3 (freq 7), Score 4 (freq 5), Score 5 (freq 3), Score 6 (freq 7). Find the mode(s) and the range of scores.
Q7. Explain what it means when a dataset has “no mode”. Give an example of a dataset with no mode and one with two modes.
Q8. Team A scores over 5 games: 18, 20, 19, 21, 22. Team B scores: 5, 30, 15, 28, 22. Both teams have the same mean of 20. Compare their mode(s) and ranges. Which team is more consistent? Use the range (not mean) to justify your answer.
Quick Check
1. A — 7. Tally: 7 appears 3 times, more than any other value.
2. B — 19. Max = 23, Min = 4. Range = 23−4 = 19.
3. B — 2. Bimodal means exactly two modes.
4. A — Mode. Colours are categorical; only the mode applies.
5. C — 4. Range = 9−5 = 4.
Show Your Working Model Answers
Q6 (3 marks): Highest frequency = 7, shared by Score 3 and Score 6 [1]. Bimodal: modes = 3 and 6 [1]. Range = 6−2 = 4 [1].
Q7 (2 marks): No mode means every value appears the same number of times — no single value occurs more than any other [1]. No mode example: {2, 5, 7, 11} (all appear once). Two modes example: {3, 3, 5, 5, 7} (3 and 5 both appear twice) [1].
Q8 (4 marks): Team A: no mode (all different), range = 22−18 = 4 [1]. Team B: no mode (all different), range = 30−5 = 25 [1]. Team A is more consistent [1]. Although both teams average 20, Team A’s scores span only 4 points, staying close to the mean each game. Team B’s scores span 25 points — performance varies wildly. The range reveals this inconsistency that the mean hides entirely [1].
The Dataset Inventor
Create a dataset of 10 values where: the mode is 8, the range is 12, and the mean is NOT 8. Show that all three conditions are satisfied with full calculations.
Reveal solution
Example: {3, 5, 8, 8, 8, 8, 9, 10, 12, 15}. Mode = 8 (appears 4 times — most frequent) ✓. Max = 15, Min = 3. Range = 15−3 = 12 ✓. Mean = (3+5+8+8+8+8+9+10+12+15)÷10 = 86÷10 = 8.6 ≠ 8 ✓. Many valid datasets exist — you need at least two 8s (more than any other value), a difference of 12 between max and min, and a mean that is not exactly 8.
Mode = most frequent
Count each value and identify the one (or ones) with the highest tally.
Can have no/one/many modes
No mode: all equal frequency. Bimodal: two tie. Multimodal: three or more.
Range = Max − Min
Subtract the smallest from the largest. Always use subtraction, not addition.
Use mode for categories
Colours, flavours, sizes — you can only count categories, not average them.
Small range = consistent
A team with range 3 is far more predictable than one with range 40.
Choose the right measure
Mode for categories · Median for skew · Mean for balanced numerical data.
Interactive: Mode and Range Explorer
Enter your own data and see how the mode and range change — especially when you add repeated values or extreme outliers.
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