What is the primary objective of sampling from a population?

Sampling from a population is used when the population is too large to collect data from everyone or if getting data from everyone is impractical. The goal when sampling from a population is therefore to get as representative a sample as you can collect. You don't want to over-represent some groups and/or under-represent other groups as this doesn't allow your sample to describe your population well. In addition to this main goal, statisticians also aim to reduce variability within the sample.

The primary objective of sampling from a population is to obtain information about the population using a smaller subset of individuals or units, known as the sample. This process allows researchers to make inferences or draw conclusions about the population without having to study every single member of the population. Sampling helps save time, resources, and effort while still providing meaningful insights into the characteristics, behaviors, or attributes of the larger population. By selecting a representative sample, researchers aim to generalize their findings from the sample to the entire population accurately.