Measurement Scales

Question 1

Nominal Data

Answer 1

• non metric
• no mean
• numbers or names only serve as label for the subject
• for example gender, name, hometown

Question 2

Ordinal data

Answer 2

• non metric
• no mean
• ordered but no meaning on the difference between values
• for example, income level, education level, position of runners in a race

Question 3

Interval data

Answer 3

• metric
• ordered & difference between values has a meaning
• values can be added & substracted
• no true zero point
• examples: temperature, credit score, pH value

Question 4

Ratio data

Answer 4

• metric
• can be multiplied & divided
• equals interval data but has a clear definition of Zero => there is no data
• examples: height, weight, length, pulse