A frequency table can represent both categorical and numerical data, but it is most commonly associated with categorical data.
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Categorical data refers to data that can be divided into different categories (e.g., types of fruits, colors, etc.). In this case, the frequency table shows how many observations fall into each category.
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Numerical data can also be represented in a frequency table, particularly when the data is grouped into ranges or intervals (e.g., age ranges).
Nominal and ordinal are specific types of categorical data, with nominal data being unordered categories (like colors), and ordinal data having a meaningful order (like rankings).
Therefore, the most accurate answer is categorical, but numerical can also be represented under certain conditions.