Data Interpretation Insights
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Data Interpretation Insights
A. Study habits and assessment results
A fictional survey of ten Year 11 students in Aotearoa New Zealand recorded their usual weekly independent maths study time and their score on a common assessment.
Study time (hours per week)
Assessment score (%)
1
48
2
55
3
61
4
65
5
72
6
76
7
79
8
82
9
45
10
88
- Studying more hours causes every student to achieve a higher score.
- In this survey, higher study times generally occurred alongside higher scores, but other factors may also matter.
- Study time and assessment score have no association.
- A student who studies 10 hours is guaranteed to score 88%.
B. Comparing regional score distributions
A second fictional data summary compares assessment scores from two groups of students. The summary statistics are supplied so you can focus on interpreting what the distributions suggest.
Group
Median score (%)
Interquartile range (IQR)
Auckland sample
75
25
Canterbury sample
70
15
C. Check the claim
A study announcement reports that a group’s mean score increased from 50% to 55%. The announcement calls this a “10% increase in achievement”.
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