Types of Data

Understanding the distinctions between categorical, numerical, and ordinal data is crucial for effective statistical analysis. Categorical data, like gender, offers fixed categories, while numerical data, such as income, can take on a wide range of values. Ordinal data, exemplified by race rankings, indicates order without conveying the exact differences between values. Identifying the type of data collected is the first step in determining the appropriate statistical tests to apply.