Types of Data in Statistics

These flashcards cover key vocabulary and concepts related to types of data in statistics, including definitions and examples.

Parameter

A numerical measurement describing some characteristic of a population.

Statistics

A numerical measurement describing some characteristic of a sample.

Quantitative Data

Data consisting of numbers representing counts or measurements.

Categorical Data (Qualitative)

Data consisting of names or labels that do not represent counts or measurements.

Discrete Data

Quantitative data values that are finite or countable, such as the number of kids in a household.

Continuous Data

Quantitative data values that have infinitely many possibilities and are not countable, such as height and weight.

Nominal Level of Measurement

Data that consists only of categories and cannot be arranged in order, e.g., gender or color.

Ordinal Level of Measurement

Data that can be ordered but where differences between values are not meaningful, e.g., course grades.

Interval Level of Measurement

Data that can be ordered and where differences are meaningful, but with no natural zero, e.g., temperature.

Ratio Level of Measurement

Data that can be ordered, differences are meaningful, and has a natural zero, e.g., weight and height.