Te reo Māori terms
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Learning objective overview
Master Teaching Guide coverage for this objective.
Current NZC (2007)
S5-1
New NZC (2026)
NZC26-P4-STA-DKD-P-Y9-02NZC26-P4-STA-DKD-P-Y9-03
Resources
- Alpha textbook: Box and Whisker plots, Ex 30.08, pg 532-533
- CorbettMaths on quartilesQuestions PDF · Answers
- Beta: Skills in Ex 30.01, pg 562
Terminology
- Minimum
- Lower Quartile / Q1
- Median / Q2
- Upper Quartile / Q3
- Maximum
- Interquartile range
- Box-and-whisker graph
- Dot plot
Task goals
- Sort a dataset and split it into quarters to locate Q1, the median (Q2), and Q3, using the exclusive method (excluding the overall median from each half when the count is odd).
- Calculate the interquartile range (IQR = Q3 - Q1) and explain that it measures the spread of the middle 50% of the data.
- Read the five-number summary (minimum, Q1, median, Q3, maximum) from a box-and-whisker graph, including comparing two or more box plots by their medians and IQRs.
- Explain why the IQR is a more outlier-resistant measure of spread than the range.
- Determine what fraction of a dataset lies above or below a given quartile (e.g. recognise that one quarter of the data lies below Q1).
Where this fits
What leads into this objective, and where it goes next.
You are here
Quartiles
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
Do
Calculating the interquartile range as IQR = Q3 − Q1
Statement▸
Year 9 · Statistics · Developing knowledge from data
NZC26-P4-STA-DKD-P-Y9-03
Also under S5-1:
For teachers
Need the fuller teaching notes for this objective? Open the Teacher guidance PDF.