Lesson 2a.06
2a.06 Recognise where errors in construction lead to graphical misrepresentation, including... Quiz: Pearson Edexcel Statistics, Unit 2
20 questions
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Lesson 2a.06, Recognise where errors in construction lead to graphical misrepresentation, including...: 20 multiple choice questions for the Pearson Edexcel GCSE Statistics (1ST0), Unit 2: Processing, representing and analysing data, written with Revision Ninja.
Host it live on the board and students join with a game code on their own devices, or revise alone with Free Play. The answers are revealed in the game.
The 20 questions
-
What graphical error occurs when a vertical axis does not start at zero?
- Broken scale
- Truncated axis
- Omitted origin
- False baseline
-
Which feature of a 3D bar chart most often misleads readers?
- Missing labels
- Perspective distortion
- Unequal widths
- Bright colours
-
Where should the bar edges sit in a histogram for grouped continuous data?
- Class midpoints
- Arbitrary intervals
- Upper limits only
- True class boundaries
-
A pictogram uses one symbol to represent 10 cars. A row shows 4 symbols. How many cars does the row represent?
- 400 cars
- 14 cars
- 4 cars
- 40 cars
-
What construction error is shown when gridline values 0, 10, 20, 40, 80 are spaced equally?
- Truncated axis
- Missing data
- Inverted scale
- Non-linear scale
-
If a bar chart vertical axis starts above zero, what is the visual effect on bar heights?
- Inverted heights
- True proportions
- Zero baseline
- Exaggerated ratios
-
If a circle's radius doubles, how much larger does its area appear?
- Eight times
- Four times
- Sixteen times
- Two times
-
Why might a line graph with a very narrow vertical scale mislead readers?
- Exaggerates small changes
- Hides major trends
- Removes the gridlines
- Reverses the data
-
Why is plotting raw frequency as bar height misleading for histograms with unequal widths?
- Classes overlap
- Area ignores width
- Scale becomes linear
- Mean becomes zero
-
Higher tier: a student finds frequency density for a class of width 20 with frequency 30 as 30 x 20. What is the correct frequency density?
- 10
- 0.67
- 600
- 1.5
-
When is it acceptable to label a histogram's vertical axis simply as frequency?
- Equal class widths
- Continuous data only
- Unequal class widths
- Discrete data only
-
Which correction best fixes a bar chart whose vertical axis starts above zero?
- Change bar widths
- Remove gridlines
- Use 3D effect
- Start axis at zero
-
Which graph type validly permits a vertical scale that does not start at zero?
- Line graph
- Bar chart
- Pie chart
- Pictogram
-
On a consistent scale, what height should a bar representing 30 be if a bar for 60 is 3 cm?
- 1.0 cm
- 1.5 cm
- 2.0 cm
- 2.5 cm
-
What rule must every pictogram follow to avoid misrepresentation?
- Symbols touching bars
- Varying symbol sizes
- No numerical key
- Equal symbol value
-
Higher tier: a class of width 5 has frequency density 4. What is its frequency?
- 20
- 1.25
- 0.8
- 9
-
If two histogram bars have a frequency density of 2, what must be true about them?
- Equal frequency
- Equal bar height
- Equal total area
- Equal class width
-
Why should chart axes always be labelled with units?
- Identifies measured values
- Removes data bias
- Creates class intervals
- Increases total data
-
What graphical distortion occurs when pie chart sectors sum to more than 360 degrees?
- Truncated scale
- Inverted axes
- Overstated proportions
- Negative values
-
What graphical error causes readers to misjudge bar sizes?
- Monochrome shading
- Equal bar widths
- Labelled axes
- Hidden baseline
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