Data Detective Investigation

Name:

Date:

🔍 Part 1: Planning Your Investigation

1. What makes a good investigative question for collecting data? Circle the best answer:

A question that can only have one answer

A question we can collect information about from people

A question that is too hard to understand

2. Which of these would be good investigative questions for our class? Tick all that apply:

What is our favourite fruit?

How many siblings do we have?

What is the weather like on Mars?

What is our favourite sport?

3. Why is it important to collect data respectfully and ethically?

4. Write your own investigative question that you could ask your classmates:

📊 Part 2: Collecting and Organising Data

5. Look at this tally chart showing favourite pets in Room 12:

Dogs: |||| |||| |

Cats: |||| |||

Fish: ||||

Birds: ||

How many students chose dogs as their favourite pet? _______

Which pet was the least popular? _____________

6. What is one advantage of using a pictograph instead of just numbers?

It uses more paper

It makes patterns easier to see visually

It takes longer to create

7. Create a simple tally chart for this data: 5 students like summer, 8 students like winter, 3 students like autumn, 6 students like spring.

🧠 Part 3: Analysing and Reflecting

8. When we look at data, we should ask questions like "What patterns do we see?" and "Were there any surprises?" Why is this important?

9. After completing a data investigation, what should we do with our findings?

Keep them secret

Share them respectfully and think of new questions

Throw them away

10. Imagine you collected data about favourite school subjects. Write one conclusion you might make and one new question it could lead to:

Conclusion: ________________________________

New question: ______________________________

11. Reflection: What is the most important thing to remember when collecting data from people?

Data Detective Investigation

Data Detective Investigation

🔍 Part 1: Planning Your Investigation

📊 Part 2: Collecting and Organising Data

🧠 Part 3: Analysing and Reflecting

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