Which term refers to a listing of all values and how often they occur in a dataset?

The correct answer refers to the concept of a frequency distribution, which is a way to summarize and present data in a meaningful form. In this case, a frequency distribution of qualitative data specifically details how often each category or value appears in a dataset. It provides a clear overview of the occurrences of different categories without relying on numerical values.

Qualitative data involves non-numerical categories (such as colors, names, or types) and is best represented through this type of frequency distribution as it allows for an easy understanding of how each category is represented within the dataset. This is particularly useful when analyzing survey data or any scenario where responses fall into distinct groups.

In contrast, frequency distributions of continuous data would focus on numerical data represented in intervals or bins rather than distinct categories. A probability distribution describes how probabilities are assigned to different values within a dataset, rather than just counting occurrences. Cumulative distribution refers to the cumulative frequency of data points in a dataset, showing the total number of observations less than or equal to a particular value, but does not directly list occurrences for each distinct value or category.

Understanding how frequency distributions operate for qualitative data is essential for data analysis, as it allows researchers to make inferences about the characteristics of the data, observe patterns,