In Year 10 Mathematics, especially in the GCSE program, using qualitative and quantitative data is very important for making smart choices in projects. Let’s break down what these two types of data mean and how they help us.

Quantitative Data

• What It Is: Quantitative data is all about numbers. It can be measured and used in statistics.
• How It Helps: This type of data is great for spotting trends and making decisions based on facts.
• Example: Imagine a study shows that 60% of students like online resources more than textbooks. This tells us that study habits are changing.
• Using Statistics: Students can figure out averages (mean), middle values (median), and most common values (mode) to sum up the data.

Qualitative Data

• What It Is: Qualitative data is more about descriptions. It’s usually gathered from surveys, interviews, or open questions.
• How It Helps: This data gives us deeper insights into what students think and feel.
• Example: If students explain why they prefer online learning, they might mention reasons like easier access or better engagement.
• Analyzing Responses: Students can group the answers to find common themes.

The Power of Combining Both

When we use both types of data, we get a fuller picture. For example, if 70% of respondents say convenience is why they like online learning, it makes a strong case for improving digital resources in the curriculum. So, the ideas we get from qualitative data nicely support the numbers from quantitative data. Together, they help us make better decisions for educational projects.