# Discrete and Continuous Data

Data can be Descriptive (like "high" or "fast") or Numerical (numbers).

And Numerical Data can be

**Discrete**or**Continuous**:**Discrete data** can be counted,

**Continuous data** can be measured

## Discrete Data

Discrete Data can only take certain values.

### Example: the number of students in a class

We can't have half a student!

### Example: the result of rolling 2 dice

Only has the values 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 and 12

Discrete data is always countable, but can be a category, like shoe size.

## Continuous Data

Continuous Data can take any value (within a range)

Examples:

- A person's height: could be any value (within the range of human heights), not just certain fixed heights,
- Time in a race: you could even measure it to fractions of a second,
- A dog's weight,
- The length of a leaf,
- Lots more!