1.3 Exploring Categories of Data, Levels of Measurement Theory

2 Types of Data

(1) Qualitative

(2) Quantitative

Qualitative Data

(1) non-numerical data, math operations are meaningless

Give 3 examples of qualitative data

(1) hair color, gender, race, religion, zip codes, phone numbers

Quantitative Data

(1) numerical data, math operations are meaningful

Give 3 examples of quantitative data

(1) height, weight, age, wages, speed, temperature, time

2 Types of Quantitative Data

(1) Discrete Data

(2) Continuous Data

Discrete Data

(1) count of something

(2) count, finite

Examples of Discrete Data

(1) number of eggs, dice

Continuous Data

(1) measurement of something

(2) not countable, infinite

Examples of Continuous Data

(1) temperature, length

4 Levels of Measurement

(1) Nominal Data

(2) Ordinal Data

(3) Interval Data

(4) Ratio Data

Nominal Data

(1) data that cannot be ordered, categories only

Examples of Nominal Data

(1) religion, race, gender

Ordinal Data

(1) data that can be ordered, differences are meaningless

Examples of Ordinal Data

(1) ranking

Interval Data

(1) data that can be ordered, differences are meaningful, no natural zero

Examples of Interval Data

(1) temperature (temperature can be zero, there’s a natural zero)

Ratio Data

(1) data that can be ordered, differences are meaningful, there is natural zero

Examples of Ratio Data

(1) amount of money, money can be zero