Researchers use descriptive statistics when they want to

We use descriptive statistics for the following reasons: To create an overview of the entire data set by summarizing it To generate an actionable set of information from the large data set having multiple variables To segregate the data into homogeneous groups to enable comparisonDescriptive statistics can be useful for two purposes: 1) to provide basic information about variables in a dataset and 2) to highlight potential relationships between variables.Inferential statistics are used for hypotheses testing and estimating the parameters of a population while descriptive statistics is the way of summarizing and organizing sets of data to make it more easily understood by the audience it is meant for. It often describes information through patterns and graphs.With any kind of data, the main objective is to describe a population at large — and using descriptive statistics, researchers can quantify and describe the basic characteristics of a given data set.Study data can be used to identify the prevalence of particular problems and the need for new or additional services to address these problems. Descriptive research may identify areas in need of additional research and relationships between variables that require future study.