Ordinal Data

Data is linked together, there is a pattern

'Classifies variables into categories which have a natural order or rank'

Categorical Data

Examples: school grades (A,B,C) education level (junior and senior level)

Nominal Data

Data is random but has a general theme

'Divides date variables into mutually exclusive labeled categories

Categorical Data

Examples: eye colour (brown, green, blue) transport (bus, train, bike)

Continuous Data

Infinite results

'Takes on any value in a certain range'

Numerical Data

Example: weight (kg, g) temperature, time

Discrete Data

Finite results

'Only a limited number of values is possible'

Numerical Data

Examples: number of things, shoe size