Statistical Data - Discrete and Continuous

Data can be Descriptive (like "high" or "fast") or Numerical (numbers). So here are some examples to for a deep understanding about Discrete Data and Continuous Data :)

A Numerical Data can be Discrete or Continuous :

Discrete data is counted.
Continuous data is measured.

Discrete Data

Discrete Data can only take certain values.

Example: the number of students in a class (you can't have half a student).

Example: the results of rolling 2 dice:

can only have the values 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 and 12.

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 cat's weight,

• The length of a leaf,

Lots more!