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Year 6 Maths Data

Identify bias & misleading data; pose questions

20 practice questions 0 video lessons Theory + worked examples
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Theory

Data can give the wrong idea if a graph is drawn unfairly or a survey is not fair. A graph can mislead with a cut scale, uneven steps or missing labels; a survey can be biased if it asks the wrong people or asks a leading question. This Year 6 maths page shows how to spot these problems and how to pose fair survey questions.

A graph is misleading when it makes the data look different from what it really is. Column heights only compare fairly if the scale starts at \(0\) and goes up in equal steps.

A sample is the group of people asked. It is biased when it is not like the whole group, for example asking only people at a skate park about their favourite sport.

A sample that is too small may not represent everyone: \(6\) students cannot speak for a school of \(600\).

A leading question pushes people to one answer ("Don’t you agree that ...?"). A good question is short, neutral, asks one thing, and has answer choices that do not overlap.

Drink sales graph with a cut scale A column graph of drinks sold on four days: 52, 55, 56 and 59. The vertical scale starts at 50, so the Monday column looks tiny and the Thursday column looks more than four times as tall. Scale starts at 50 505254565860 Drinks sold 52 Mon 55 Tue 56 Wed 59 Thu
With the scale starting at \(50\), Thursday looks more than \(4\) times as tall as Monday.
Drink sales graph with the scale from zero The same drink sales, 52, 55, 56 and 59, drawn with the vertical scale starting at 0. The four columns look almost the same height. Scale starts at 0 0102030405060 Drinks sold 52 Mon 55 Tue 56 Wed 59 Thu
From \(0\), the columns are nearly equal: sales only rose by \(7\).

Checklist for a fair graph and a fair survey:

CheckWhat to look for
Scalestarts at 0, equal steps
Labelstitle, axis labels, units
Picturesall symbols the same size
Samplebig enough, like the whole group
Questionneutral, one thing at a time
Answer choicescover everyone, no overlaps
Cut scales exaggerate. A rise from \(52\) to \(59\) is small, but a scale starting at \(50\) makes it look huge.
Who was asked matters. Ask a sample that is like the whole group, chosen from all parts of it.

How to check a graph

  1. Look for a title and labels on both axes.
  2. Check the scale starts at \(0\) and the steps are equal.
  3. Read the actual numbers before trusting how tall the columns look.

How to write a good survey question

  1. Ask about one thing only.
  2. Use neutral words (no "great", "terrible", "don’t you agree").
  3. Give answer choices that do not overlap and include "other".
  4. Ask a big enough sample from every part of the group.
Example 1 — Cut scale
Use the first graph. Thursday’s column looks more than four times as tall as Monday’s. Is that true?
Solution
\(59 - 52\)\(=\)\(7\)
59−52=7

No. Sales went from \(52\) to \(59\), a rise of only \(7\). The scale starts at \(50\), which cuts off the bottom of every column.

Example 2 — How many times as tall?
On the first graph, Monday’s column rises \(2\) above the bottom of the scale (\(50\)) and Thursday’s rises \(9\). How many times as tall does Thursday look, and is that fair?
Solution
\(9 \div 2\)\(=\)\(4.5\)
9÷2=4.5

Thursday looks \(4.5\) times as tall. That is not fair: \(59\) is only \(7\) more than \(52\).

Example 3 — Uneven scale
The numbers up the side of a graph are \(0\), \(25\), \(50\), \(100\), \(200\), equally spaced. Why is it misleading?
Solution

The steps are \(25\), \(25\), \(50\), \(100\): the same space stands for different amounts, so big values look smaller than they are.

Example 4 — Biased sample
To find the favourite sport at school, Lena asks the students at the skate park after school. What is the problem?
Solution

Students at a skate park are more likely to choose skateboarding, so the sample is biased.

Example 5 — Sample too small
A school has \(600\) students. Kai asks \(6\) of his friends about the new canteen menu. What is wrong?
Solution
\(600 \div 6\)\(=\)\(100\)
600÷6=100

He asked only \(1\) in every \(100\) students, and only his friends, so the sample is too small and not chosen fairly.

Example 6 — Leading question
Rewrite this question so it is fair: "Don’t you think our brilliant library needs more beanbags?"
Solution

"Should the library get more beanbags? Yes / No / Not sure."

Example 7 — Overlapping choices
A survey asks: How many hours of sleep do you get? \(8\) to \(9\), \(9\) to \(10\), \(10\) to \(11\). What is wrong, and how can it be fixed?
Solution

Someone who sleeps \(9\) hours could tick two boxes. Fix: "less than \(9\)", "\(9\) up to \(10\)", "\(10\) or more".

Example 8 — Missing choice
What is wrong with the survey question “Favourite fruit: apple, banana or orange?”
Solution

There is no “other” box, so someone whose favourite is mango cannot answer. Add an “other” choice.

Example 9 — Picture graph
A graph shows ice-cream sales of \(40\) and \(80\) using pictures of a tub. The second tub is drawn twice as tall and twice as wide. Why is that misleading?
Solution

The second picture covers \(4\) times the space, so \(80\) looks like \(4\) times \(40\) instead of \(2\) times.

Common pitfalls

Trusting the heights. Always read the numbers on the scale, especially when it does not start at 0.
Asking only friends. Friends often think alike; choose people from every part of the group.
Leading words. Words like "brilliant" or "don’t you agree" push people towards one answer.
Overlapping or missing choices. Every person must fit exactly one answer box.

Frequently asked questions

Why should a column graph start at zero?

So the column heights are in proportion to the numbers they show.

What is a biased sample?

A group of people asked that is not like the whole group, so the results lean one way.

What is a leading question?

A question worded to push people towards one answer.

How big should a sample be?

Big enough to represent the group: more people from every part of the group give a fairer result.

What makes a good survey question?

It is short, neutral, asks one thing, and has answer choices that cover everyone without overlapping.