Overview
Sampling is used when it is impractical or impossible to analyze an entire population. A good sample must be representative of the population to ensure that the findings can be generalized.
Key Concepts
- Population: The entire group you want to draw conclusions about.
- Sample: The specific group you collect data from.
- Sampling Bias: When some members of the population are more likely to be selected than others.
Importance
Proper sampling reduces costs, saves time, and is the foundation of inferential statistics.