Kyle conducted an investigation into doodling during lessons by boys and girls. He counted the number of doodles and how much paper was used per hour when doodling. He had several concerns about uncontrolled variables in his study.
- (a)Define quantitative data, using Kyle's data as an example.[2]
- (b)Kyle observed doodling in different lessons and was concerned that the science lessons may have been more interesting than other subjects. Name this type of uncontrolled variable and explain why it could be a problem. uncontrolled variable: why it could be a problem:[3]
- (c)On one of the days Kyle collected data, the girls had been on a school trip the day before, so may have been tired, but the boys had not. Name this type of uncontrolled variable and explain why it could be a problem. uncontrolled variable: why it could be a problem:[3]
Mark scheme
Marking points from the official mark scheme (Oct/Nov 2018). The mark or mark type is shown in brackets.
- [2] 1 mark for quantitative data is numerical.
- 2nd mark for Kyle's data (count of doodles / area of doodles [in cm²]).
- [3] 1 mark for type of variable.
- 2 marks for explanation.
- ∞ (how interesting the lesson is could be) a situational variable
- ∞ because it is a feature of the experimental setting, i.e. the lesson
- ∞ because students might doodle less in these lessons / might doodle more in other lessons
- ∞ so it would look like boys doodled less / girls would seem to doodle more.
- ∞ so there would be an apparent gender difference (that did not exist / that was due to an uncontrolled variable)
- [3] 1 mark for type of variable.
- 2 marks for explanation.
- ∞ (tiredness could be) a participant variable
- ∞ because it is internal to the individuals
- ∞ it might make the girls doodle more / less than they would normally
- ∞ so there would be an apparent gender difference (that did not exist / that was due to an uncontrolled variable)
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