Understanding different types of data is really important for Year 7 students who want to improve their statistics skills. We can split data into two main categories:

1. Qualitative Data:

   • This type of data is descriptive and based on categories. For example, it includes things like colors or names.
   • It helps us identify certain characteristics or qualities.
   • We can analyze qualitative data by looking at modes (the most common) or frequencies (how often something appears).

2. Quantitative Data:

   • This type of data is numerical and can be measured. Examples include things like height or age.
   • Quantitative data can be broken down into two types:
     • Discrete: These are countable values, like the number of students in a class.
     • Continuous: These are measurable values, like the temperature outside.
   • We can analyze quantitative data by using measures that show central tendency (like mean, median, and mode) and dispersion (like range and variance).

By learning about these types of data, students can choose the right methods to analyze statistics. This will help them understand data better and make smarter conclusions, boosting their overall math skills.