How do you differentiate between a population and a sample in statistics, and why is it important to understand the difference?
Answer 1
Joshua Ball
In statistics, a population refers to the entire group about which data is being collected, while a sample is a subset of the population. Understanding the difference is crucial because it affects the accuracy and generalizability of statistical inferences. Sampling allows for manageable data collection and analysis, but it also introduces sampling error.
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