How do descriptive statistics differ from inferential statistics?

Descriptive statistics are utilized to summarize and describe the features of a data set. They provide a clear and concise overview of the data through measures such as mean, median, mode, and standard deviation, allowing researchers to present the main characteristics of a data collection in a straightforward manner. This summarization aids in understanding the basic patterns and distributions within the data.

On the other hand, inferential statistics go a step further by making predictions or inferences about a population based on a sample of data. Inferential techniques enable researchers to test hypotheses, make estimations, and draw conclusions beyond the immediate data at hand, which is crucial when working with larger populations.

Thus, the correct answer encapsulates the fundamental distinction: descriptive statistics focus on summarizing the data, whereas inferential statistics are concerned with making broader conclusions and predictions based on that summarized data.