Ordinal data represents categories with a meaningful order but without a uniform scale, allowing for the ranking of data points. Unlike interval data, ordinal data does not quantify the difference between categories, making it suitable for non-parametric statistical tests.

Ordinal Data

Ordinal data

categories with a meaningful order

non-parametric statistical tests

Interval data is a type of quantitative data where the difference between values is meaningful, but there is no true zero point, making it impossible to make ratio comparisons. Common examples include temperature scales like Celsius and Fahrenheit, where intervals are consistent but zero does not represent the absence of temperature.

interval data

Quantifying differences between categories

ranking of data points

uniform scale

Ordinal Data: Measuring Levels of Agreement in Public Opinion

Types of Data in Simulation

Understanding Categorical Data in Data Analysis

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