Small sample sizes refer to the limited number of observations or data points collected in a study, which can impact the reliability and validity of statistical analyses. In statistics, smaller sample sizes often lead to less stable estimates and increased variability, making it more challenging to draw accurate conclusions. Understanding how small sample sizes affect the application of statistical methods is crucial for researchers, especially when choosing between parametric and nonparametric approaches.
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