IBM Data Science Practice Test 2025 - Free Data Science Practice Questions and Study Guide

Descriptive tables serve as a summary tool that provides an overview of the main characteristics of a dataset. They typically include a range of statistics that help describe and condense the information within the data.

Measures of central tendency are crucial because they indicate the central point or typical value within the data set, often represented by metrics such as the mean, median, and mode.

Measures of dispersion, on the other hand, provide insights into the spread or variability of the data. This includes statistics such as range, variance, and standard deviation, helping to illustrate how much the data points differ from the central value.

Lastly, measures of distribution offer an understanding of how data points are spread over different values. This can include skewness (asymmetry of the distribution) and kurtosis (the "tailedness" of the distribution).

By including all these measures, descriptive tables give a comprehensive perspective on the dataset, allowing for better analysis and understanding of its characteristics. Hence, the choice that encompasses all of these aspects is the most appropriate answer.