📊 Part 1: Statistics Vocabulary

1. Match each statistics term with its correct meaning:

1. Data

2. Mode

3. Primary data

4. Categorical data

A. Data we collect ourselves

B. Facts or information collected

C. The most common value

D. Data in categories like colours

2. Circle the correct type of data for each example:

Number of pets in each family:

Categorical data

Discrete numerical data

Favourite ice cream flavours:

Categorical data

Discrete numerical data

🔍 Part 2: Investigative Questions

3. Write a good investigative question for each topic:

About favourite sports in your class:

About the number of books students read last month:

4. Which of these are good investigative questions? Check all that apply:

What is the most popular lunch food in our school?

How many letters are in the word "cat"?

Which transport method do Year 6 students use most to get to school?

What colour is the sky?

📈 Part 3: Data Collection and Organisation

5. Complete this tally chart by surveying 10 classmates about their favourite season:

6. Using your data from question 5, answer these questions:

What is the mode (most popular season)? _______________

How many people chose winter? _______________

Is this primary data or secondary data? _______________

7. Create a simple bar graph using your tally data:

🎲 Part 4: Chance and Probability

8. Use these words to describe the likelihood of each event:

impossible, unlikely, possible, likely, certain

It will rain chocolate tomorrow: _______________

You will eat something today: _______________

A coin will land on heads: _______________

You will grow wings and fly: _______________

The sun will rise tomorrow: _______________

9. If you roll a dice 12 times, predict how many times you might get a 6:

10. Circle the fraction that shows the chance of getting heads when flipping a coin:

1/4

1/2

1/3

2/3

🤔 Part 5: Critical Thinking About Data

11. Look at this statement: "Everyone in New Zealand loves rugby because 5 out of 5 people I asked said they do."

Is this statement reliable? Explain why or why not:

12. What could make data misleading? Check all that apply:

Asking too few people

Using clear labels on graphs

Only asking people who agree with you

Making the graph scale confusing

13. Design your own chance investigation using a coin or dice:

My investigation question: ________________________________

What I will do: ________________________________

What I predict will happen: ________________________________

Data and Chance Exploration

Data and Chance Exploration

📊 Part 1: Statistics Vocabulary

🔍 Part 2: Investigative Questions

📈 Part 3: Data Collection and Organisation

🎲 Part 4: Chance and Probability

🤔 Part 5: Critical Thinking About Data

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