When should I use sampling in data analysis?

When should I use sampling in data analysis?

You should use sampling when it's impractical to analyze an entire population, like in large datasets.

What are the benefits of using sampling?

Sampling can save time and resources, reduce costs, and still provide accurate insights if done correctly.

Are there different types of sampling methods?

Yes, common methods include random sampling, stratified sampling, and cluster sampling, each serving different purposes.

How do I determine the sample size I need?

Sample size depends on the population size, desired confidence level, and margin of error. There are formulas to help calculate it.