Data types

Question 1

no order or heirarchy eg birthplace

Answer 1

Nominal

Question 2

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

Answer 2

ordinal

Question 3

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

Answer 3

discrete

Question 4

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

Answer 4

continuous

Question 5

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

Answer 5

binominal

Question 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)

Answer 6

interval