data-types

Quantitative Data - Can be expressed as a number or can be quantified. Can be divided into two sub-categories:

• Discrete data: Numbers are counted as “whole”, e.g. number of students in a class, number of goals in a soccer game

• Continuous data: Numbers can be of infinite precision. e.g. weight of a person, shoe size, temperature

Qualitative Data - Cannot be expressed as a number and cannot be quantified. Can be divided into two sub-categories:

• Nominal data: Example: gender, hair color, ethnicity

• Ordinal data: Example: school grades (A, B, C), economic status (low, middle, high)