📊 Part 1: Understanding Secondary Data Sources

1. What is the difference between primary and secondary data?

Primary data is more important than secondary data

Primary data is collected firsthand, secondary data is collected by others

Primary data is always more accurate than secondary data

There is no difference between them

2. When examining a secondary dataset, which details should you identify? (Check all that apply)

Who collected the data

The purpose of data collection

What variables are included

What groups the data represents

The colour of the charts used

3. You find a dataset about "Favourite Sports of New Zealand Students" collected by a sports equipment company. What questions might you ask about potential bias?

4. A survey asks: "Don't you think that mathematics is the most difficult subject in school?" What makes this question problematic?

🔒 Part 2: Ethics in Data Collection

5. Which of these scenarios raises the most serious ethical concerns?

Asking students their favourite lunch food for a school survey

Collecting students' personal health information without parental consent

Surveying students about their favourite school subjects

Asking students about their preferred learning activities

6. A company collects data showing that 90% of people prefer their product, but they only surveyed people outside their own store. Explain why this data might be unreliable.

7. List three ethical principles that should guide data collection:

a) _________________________________

b) _________________________________

c) _________________________________

8. A news article claims "Students perform 50% better with Technology X" based on a study of only 10 students. What questions should you ask about this claim?

🤔 Part 3: Critical Thinking About Data

9. Why is context important when interpreting data visualisations?

Context makes graphs look more colourful

Context helps us understand what the data really means and its limitations

Context is only needed for complex data

Context doesn't matter if the numbers are correct

10. Before trusting a data-based claim, what three questions should you always ask?

11. Reflection: Write a short paragraph explaining why ethical data collection and critical evaluation of data sources are important for building trust in research and decision-making.