📊 Part 1: Understanding Secondary Data

1. What is secondary data?

Data you collect yourself through surveys

Data that someone else has already collected

Data that is not important

Data about secondary schools

2. Which of these are examples of secondary data? (Check all that apply)

Weather statistics from NIWA

Census data from Statistics New Zealand

A survey you did of your classmates

Sports scores from the newspaper

3. When using secondary data, it's important to know:

Only what the data shows

Who collected it, why, and how

Just the numbers

When it was published

4. A variable in a data set is:

Something that changes or can be measured

Always a number

The title of the graph

The person who collected the data

🔍 Part 2: Analysing Secondary Data

Data Set: A survey of 200 Year 6 students across Auckland asked about their favourite weekend activities. The data was collected by a sports equipment company to help them decide what products to sell.

5. What is the group of interest in this data set?

6. Who collected this data and why?

Who: _________________________

Why: _________________________

7. What might be a potential bias in this data? Explain your thinking.

8. List three variables that might have been measured in this survey:

1. _________________________

2. _________________________

3. _________________________

💭 Part 3: Critical Thinking About Data

9. Why is it important to know who collected secondary data and for what purpose?

10. You find data showing "90% of people prefer Brand X toothpaste." What questions should you ask about this data before believing it?

11. Give an example of secondary data that would be useful for investigating "What sports are most popular among New Zealand children?"

Secondary Data Exploration

Secondary Data Exploration

📊 Part 1: Understanding Secondary Data

🔍 Part 2: Analysing Secondary Data

💭 Part 3: Critical Thinking About Data

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