Data Types

Question 1

Nominal Data

Answer 1

Observed values can be put into set categories which have no particular order or hierarchy. (For example birthplace)

Question 2

Ordinal Data

Answer 2

Observed values can be put into set categories which themselves can be ordered (for example NYHA classification of heart failure symptoms)

Question 3

Discrete Data

Answer 3

Observed values are confined to certain values, usually a finite number of whole numbers (for example the number of asthma exacerbations in a year)

Question 4

Continuous Data

Answer 4

Data can take any value with certain range (for example weight)

Question 5

Binomial Data

Answer 5

Data may take one of two values (for example gender)

Question 6

Interval Data

Answer 6

A measurement where the difference between two values is meaningful, such that equal differences between values correspond to real differences between the quantities that the scale measures (for example temperature)