Te reo Māori terms
click each term to open in Te Aka
Learning objective overview
Master Teaching Guide coverage for this objective.
Current NZC (2007)
S4-1
New NZC (2026)
NZC26-P4-STA-DKD-K-Y9-08NZC26-P4-STA-DKD-K-Y9-09NZC26-P4-STA-DKD-P-Y9-01NZC26-P3-STA-DKD-K-Y7-01
Resources
- Alpha textbook: Three types of data, Ex 30.01, pg 516
- CorbettMaths — Types of DataQuestions PDF · Answers
- CorbettMaths — Continuous & Discrete DataQuestions PDF · Answers
- CorbettMaths — Primary & Secondary DataQuestions PDF · Answers
Terminology
- qualitative data
- quantitative data
- discrete data
- continuous data
- primary data
- secondary data
- data classification
Task goals
- Classify variables as qualitative or quantitative based on whether they describe categories or measurable quantities.
- Distinguish discrete from continuous quantitative data by identifying whether values can take any value in a range or only specific isolated values.
- Identify whether a data collection method yields primary data (collected directly by the investigator) or secondary data (obtained from existing sources).
- Apply data classification to real-world contexts to inform choices about appropriate data collection methods and statistical analysis techniques.
Where this fits
What leads into this objective, and where it goes next.
You are here
Types of data
Know
Primary data is data that is collected first-hand.
Statement▸
Year 9 · Statistics · Developing knowledge from data
NZC26-P4-STA-DKD-K-Y9-08
Know
Secondary data is data collected by someone else.
Statement▸
Year 9 · Statistics · Developing knowledge from data
NZC26-P4-STA-DKD-K-Y9-09
Also under S4-1:
For teachers
Need the fuller teaching notes for this objective? Open the Teacher guidance PDF.