Qualitative and quantitative data are really important for Year 9 students learning about statistics.

Qualitative Data (Categorical)

• What It Is: This is information that doesn’t use numbers. It could be things like colors or types of pets.
• Examples: You might collect data on "favorite sport" or "gender."
• How It’s Shown: Usually, we show this data with bar charts or pie charts.

Quantitative Data (Numerical)

• What It Is: This data uses numbers and can be measured. Examples include height or test scores.
• Examples: There’s continuous data, like temperature, and discrete data, like the number of students in a class.
• How It’s Shown: We often use histograms or box plots to represent this data.

How They Help Us Understand

• Qualitative Data: This type of data helps us see patterns in what people like or how they behave.
• Quantitative Data: This gives us number-based information, which we can use to calculate things like averages and medians.

In Year 9, knowing both types of data makes it much easier for students to analyze statistics and understand what the information is telling us.