What is the difference between a sample and a population in statistics, and why is it important to use a sample when studying large groups?

In statistics, a population is the entire group being studied, while a sample is a subset of that population. Using a sample is crucial when studying large groups because it is often impractical or impossible to collect data from every individual in the population. Samples allow for manageable, cost-effective, and timely analysis while still providing insights into the population as a whole.

Start Using PopAi Today