minsamples
minsamples refers to a statistical approach or tool used to determine the minimum number of samples required to achieve a desired level of confidence or statistical power in a study. The concept is grounded in power analysis, which assesses the probability that a test will detect an effect of a given size if that effect truly exists. By calculating the smallest sample size that satisfies predefined significance (α) and power (1‑β) thresholds, researchers can design more efficient experiments, reduce unnecessary data collection, and conserve resources.
The methodology often employs formulas derived from the central limit theorem, t‑tests, ANOVA, regression, or non‑parametric
Several software packages incorporate minsamples functionality, including the GNU Scientific Library, R’s pwr and G*Power, and
In practice, minsamples is used across fields such as psychology, medicine, engineering, and market research. It