Types of Data - Nominal, Ordinal, Interval/Ratio

Question 1

What is Nominal Data?

Answer 1

Nominal level - you can categorise your data by labelling them in mutually exclusive groups, but there is no order between the categorises.

Question 2

What are some examples of Nominal Data?

Answer 2

Examples - city Of birth, gender, ethnicity, car brands, marital status

Question 3

What is ordinal level?

Answer 3

Ordinal level - you can categorise and rank you data in order, but you cannot say anything about the intervals between the ranking. Although you can rank the top 5 medalists

Question 4

What is Interval data?

Answer 4

Interval level - you can categorise, rank and infer equal intervals between the neighbouring data points but there is no true zero point.

Question 5

What are some examples of interval data?

Answer 5

E.g. Test scores, personality inventories

Question 6

What is ratio level data?

Answer 6

Ratio level - you can categorise, rank and infer equal intervals between neighbouring data points and there is a true zero point.

Question 7

What are some examples of ratio level data?

Answer 7

E.g. height, age, weight, temperature