Data Types and Identification

Name:

Date:

📊 Part 1: Identifying Data Types

1. Circle whether each piece of data is Qualitative (descriptive) or Quantitative (numerical):

a) Height of students in centimetres

Qualitative

Quantitative

b) Favourite rugby team

Qualitative

Quantitative

c) Number of siblings

Qualitative

Quantitative

d) Eye colour

Qualitative

Quantitative

2. A sports coach collects data about their team. Tick all the examples that are quantitative data:

Player positions (forward, midfielder, defender)

Goals scored in a season

Training attendance percentage

Preferred training day

Weight in kilograms

✏️ Part 2: Real-World Applications

3. A school cafeteria manager wants to improve their menu. Complete the table by writing whether each type of data is qualitative or quantitative:

a) Students' favourite lunch option: _______________

b) Number of pies sold per day: _______________

c) Cost of meals in dollars: _______________

d) Dietary requirements (vegetarian, gluten-free, etc.): _______________

4. Explain why it's important for the cafeteria manager to understand the difference between qualitative and quantitative data when making decisions:

5. Extension Challenge: A clothing store owner collects data about customer preferences. For each example below, explain how the data type affects how it can be used:

a) Preferred clothing colours (qualitative data):

b) Average spending per customer in dollars (quantitative data):

🎯 Part 3: Create Your Own Examples

6. Think about data that might be collected at your school. Write one example of each type:

Qualitative data example: _________________________________

Quantitative data example: _________________________________

7. Choose one of your examples from question 6. Explain how this data could be used to make an important decision at your school:

8. Success Check: Complete this sentence to show your understanding:

The main difference between qualitative and quantitative data is that qualitative data is _________________ while quantitative data is _________________.