Interpreting data from box and whisker - CSSI

Read and compare box-and-whisker plots using the CSSI framework (Centre, Spread, Shape, Interesting features), and apply the 75%/50% rule for informal inference -- if one group's median sits outside the interquartile range (the middle 50%) of the other group, that is evidence of a real difference between the groups. Distinct from the existing lo-comparing-box-and-whisker-graphs-cssi, which already reads/compares centre and spread from diagrams but never teaches the median-outside-IQR informal-inference rule; every tier here drills that specific rule.

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Learning objective overview

Master Teaching Guide coverage for this objective.

Current NZC (2007)
  • S6-1
  • S5-1
New NZC (2026)
  • NZC26-P4-STA-VIS-K-Y9-01
  • NZC26-P4-STA-INT-K-Y10-01
  • NZC26-P4-STA-DKD-P-Y9-02
  • NZC26-P4-STA-DKD-P-Y9-03

Resources

  • Beta: box and whisker - CSSI Skills in Ex 30.02, pg 570
  • CorbettMaths - Box PlotsQuestions PDF · Answers

Terminology

  • Minimum / Maximum
  • Lower Quartile (LQ)
  • Upper Quartile (UQ)
  • Interquartile Range (IQR)
  • Centre (Median)
  • Shape (Symmetrical vs. Skewed)
  • Spread (Range and IQR)
  • Interesting Features (Overlap/Shift)
  • Middle 50%
  • Sample, Population, Tail

Task goals

  • Read the five-number summary (min, LQ, median, UQ, max) and calculate the IQR from a box plot.
  • Compare two groups' centre (median) and spread (IQR), and describe shape (symmetrical vs. skewed) from the position of the median within the box and the relative whisker lengths.
  • Apply the 75%/50% rule -- check whether one group's median falls inside or outside the other group's IQR -- to judge whether there is evidence of a real difference between two groups.
  • Explain why the rule uses the interquartile range (the middle 50%) rather than the full range as its benchmark for typical variation.
  • Critique an over-strong conclusion drawn from a numerically higher median whose value nonetheless falls inside the other group's IQR.
  • Explain why the five-number summary (and hence the box plot) is resistant to a single outlier, unlike the mean.

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What leads into this objective, and where it goes next.

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Interpreting data from box and whisker - CSSI

Interpreting data from box and whisker - CSSI

Know

A distribution is formed from all the possible values of a variable and their frequencies. It can be shown using data visualisations that show patterns, trends, and variations and that include dot plots, bar graphs, frequency tables, box plots, histograms, time-series graphs, scatter plots, and two-way tables.

Statement▸
Year 9 · Statistics · Visualisation of data
NZC26-P4-STA-VIS-K-Y9-01
Do

Calculating the five-point-summary for numerical data: the minimum value; the value of quartile 1, or Q1; the value of the median or quartile 2, or Q2; the value of quartile 3, or Q3; the maximum value

Statement▸
Year 9 · Statistics · Developing knowledge from data
NZC26-P4-STA-DKD-P-Y9-02

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