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Planning a Fair Test: Variables, Tables and Graphs — Answers

Answer sheet with model answers and success criteria for the Year 6 working scientifically worksheet.

Success TutoringWorksheetsAnswer sheetYear 6 · Science · Working Scientifically

Planning a Fair Test: Variables, Tables and Graphs — Answers

Part A: Planning an investigation

Read the passage. Then circle the best answer.

A fair test changes only one thing and keeps everything else the same.

The independent variable is the one thing you change on purpose. The dependent variable is what you measure to see the effect. The controlled variables are everything you keep the same.

Scientists repeat each test (usually three times) and find the average: add the results and divide by how many there are. This makes results more reliable.

Put the independent variable in the first column of your results table. Use a line graph when the independent variable is a measurement that can change smoothly, such as height or temperature. Use a bar graph (also called a column graph) when it is a set of separate groups, such as types of ball.

A conclusion says what you found out, using your data: “As ___ increased, ___ increased.”

1.In a fair test, how many variables should you change on purpose?
  1. Anone
  2. Bone
  3. Ctwo
  4. Das many as possible

Answer: one

Change only one variable. Then any difference in the results is caused by that one change.

2.Tom tests whether the height a ball is dropped from changes how high it bounces. What is the dependent variable?
  1. Athe drop height
  2. Bthe type of ball
  3. Cthe bounce height
  4. Dthe floor

Answer: the bounce height

The dependent variable is what you measure — the bounce height.

3.Why do scientists repeat each trial three times?
  1. ATo make the results more reliable and spot mistakes.
  2. BTo make the test take longer.
  3. CTo change the variables.
  4. DBecause the first result is always wrong.

Answer: To make the results more reliable and spot mistakes.

Repeating and averaging smooths out small measuring errors and shows up any odd results.

4.Three trials give bounce heights of 28 cm, 31 cm and 31 cm. What is the average?
  1. A28 cm
  2. B31 cm
  3. C29 cm
  4. D30 cm

Answer: 30 cm

Add them and divide by 3: (28 + 31 + 31) ÷ 3 = 90 ÷ 3 = 30 cm.

5.Which graph best shows how bounce height changes as drop height increases?
  1. Aa line graph
  2. Ba pie chart
  3. Ca picture graph
  4. Da bar graph of ball colours

Answer: a line graph

Drop height is measured in numbers that go up smoothly, so a line graph shows the trend best.

Part B: Variables

6.The variable you change on purpose is the (answer space) variable.

Answer: independent

7.The variables you keep the same are the (answer space) variables.

Answer: controlled

8.Name two controlled variables for Tom's bouncing-ball test.

Answer: Any two of: the same ball, the same floor surface, dropping (not throwing) the ball, measuring from the bottom of the ball, the same person measuring.

Part C: True or false?

Write True or False.

9.You should change the ball and the drop height at the same time to save time.

Answer: False

If two things change, you cannot tell which one caused the difference.

10.The independent variable goes in the first column of a results table.

Answer: True

The table then reads from what you changed to what you measured.

11.A bar graph is best for comparing how high different types of ball bounce.

Answer: True

Types of ball are separate groups, so a bar (column) graph suits them.

Part D: Working scientifically: Tom's bouncing-ball results

Use Tom's results to answer. Show your working.

Tom dropped the same tennis ball onto the same floor from three heights and measured the bounce three times at each height.

50 cm drop: 30 cm, 47 cm, 30 cm · 100 cm drop: 56 cm, 60 cm, 58 cm · 150 cm drop: 86 cm, 90 cm, 88 cm

12.Find the average bounce height for the 100 cm drop.

Answer: 58 cm ((56 + 60 + 58) ÷ 3 = 174 ÷ 3 = 58).

13.Which result looks like a mistake (an outlier)? Suggest what Tom should do.

Answer: The 47 cm trial at 50 cm drop height — it is much higher than the other two (30 cm, 30 cm). Tom should repeat that trial.

14.Find the average bounce height for the 150 cm drop.

Answer: 88 cm ((86 + 90 + 88) ÷ 3 = 264 ÷ 3 = 88).

15.Write a conclusion for Tom's investigation using the averages.

Model answer: As the drop height increased, the bounce height increased. When the ball was dropped from 100 cm it bounced 58 cm on average, and from 150 cm it bounced 88 cm. The bounce was always a little more than half the drop height.

Success criteria:

  • States the pattern (as drop height increased, bounce height increased)
  • Quotes average values from the data
  • Any extra insight, e.g. bounce about 60% of drop height
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Marking tips

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