Multivariate Data Investigation

Name:

Date:

Students analyzing data charts and graphs

📊 Part 1: Understanding Multivariate Data

1. What does "multivariate data" mean?

Data with only one variable

Data with multiple variables being studied together

Data that is always numerical

Data collected from multiple people

2. Which of these would be good investigative questions for our local community? (Select all that apply)

Does preferred lunch food vary by year level and gender?

How has student transport to school changed over the past 5 years?

What is the most popular colour?

Is there a relationship between favourite subject and future career interests?

3. When collecting data about people in our community, which ethical considerations are important?

Making participation voluntary and keeping responses anonymous

Only asking questions that will give us the answers we want

Sharing individual responses with everyone

Forcing everyone to participate

4. Circle the types of data visualisation that work well for multivariate data:

Bar graphs Two-way tables Single pie chart Time-series graphs Scatter plots

🔍 Part 2: Planning Your Investigation

5. Write your own investigative question about our school community that involves at least two variables:

6. For your investigative question above, identify your variables:

Variable 1: _________________________

Variable 2: _________________________

Additional Variable (if any): _________________________

7. How would you ethically collect data for your investigation? Explain your plan:

8. What types of data visualisation would best show your findings? Choose two and explain why:

📈 Part 3: Interpreting Data

9. Look at this sample data about student transport preferences by year level. What pattern do you notice?

Year 7: Walk 40%, Bus 35%, Car 25%

Year 8: Walk 30%, Bus 45%, Car 25%

Year 9: Walk 20%, Bus 50%, Car 30%

10. Based on the data above, what conclusion could you draw about how transport preferences change as students get older?

11. Extension Challenge: Design a follow-up question that could help explain WHY these transport patterns exist:

12. Reflection: How does investigating community data with kindness and respect reflect our school values of hope, love, and following Mother Mary's example?

Multivariate Data Investigation

Multivariate Data Investigation

📊 Part 1: Understanding Multivariate Data

🔍 Part 2: Planning Your Investigation

📈 Part 3: Interpreting Data

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