Descriptive statistics do

Descriptive statistics, in short, help describe and understand the features of a specific data set by giving short summaries about the sample and measures of the data. The most recognized types of descriptive statistics are measures of center: the mean, median, and mode, which are used at almost all levels of math and statistics.Descriptive statistics provide simple summaries about the sample and about the observations that have been made. Such summaries may be either quantitative, i.e. summary statistics, or visual, i.e. simple-to-understand graphs.As the name implies, descriptive statistics describe data. It is a tool for gathering, organizing, summarizing, showing, and analyzing samples from a population. Descriptive statistics do not depend on probability theory, unlike inferential statistics. It leads the way for better understanding and viewing of data.Descriptive statistics refers to a means of summarizing and describing an entire data set or population meaningfully. Professionals use descriptive statistics only to present data in a way that makes it easy to read and find patterns.The term “descriptive statistics” refers to the analysis, summary, and presentation of findings related to a data set derived from a sample or entire population. Descriptive statistics comprises three main categories – Frequency Distribution, Measures of Central Tendency, and Measures of Variability.