Final answer:
Summary data gives users subtotals and condensed versions of various categories, aiding in data interpretation and analysis. It is a part of descriptive statistics and is typically presented in forms such as categorized reports or structured tables.
Step-by-step explanation:
The correct answer to the question is Summary data. Summary data provides users with subtotals and condensed information of various categories. This is particularly useful when dealing with a large set of raw data, as it allows for easier interpretation and analysis. For example, if a dataset contains the quiz scores of students, summary data can report these scores categorically as grades (A, B, C, D, or F) at the end of the term.
In descriptive statistics, organizing and summarizing data is essential. It can be done in various ways, including graphing and calculating numerical summaries like averages. The process of collecting data as numbers and reporting it categorically or in summarized forms is a fundamental part of descriptive statistics, which precedes the use of inferential statistics to draw conclusions from data.
Furthermore, tables are often used to present data in a structured and linear way, making it easier to locate specific data points. This method of presenting summary data is especially effective when dealing with complex data that is difficult to manage in text or visual forms like charts.