- How do descriptive statistics differ from inferential statistics?

Descriptive and inferential statistics serve different purposes in data analysis. Descriptive statistics summarize and describe the main features of a dataset, providing simple summaries about the sample and the measures. This includes metrics such as mean, median, mode, and standard deviation, which help to understand the basic characteristics of the data. On the other hand, inferential statistics go beyond mere description and are used to make inferences or generalizations about a population based on a sample of data. This involves using techniques such as hypothesis testing, confidence intervals, and regression analysis to draw conclusions and make predictions. In essence, while descriptive statistics aim to present data in a meaningful way, inferential statistics are used to interpret data and make decisions or predictions about a larger population.