Statistical Sampling

• Statistical sampling is critical in hypothesis testing.
• It involves selecting a representative subset, or sample, from a larger population.
• Samples allow us to make inferences about the population without needing to consider every individual data point.
• Sample size and sampling techniques are crucial considerations as they affect the validity of conclusions.
• Common sampling techniques are simple random sampling, stratified sampling, and cluster sampling.
• Understanding statistical sampling methods is essential for the reliability and validity of insights from hypothesis testing.