A small sample size involves analyzing a limited number of observations, often used in pilot studies, rare disease research, or costly experiments. It enables quick, affordable insights but raises reliability concerns. Researchers, statisticians, and startups benefit when large datasets are impractical, though findings require cautious interpretation.
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