Choosing the Right Sample Size Can Make or Break Quality Inspections
Choosing the right sample size is crucial for quality inspection. By using statistical power analysis, researchers can determine the best sample size for their experiments. Increasing the effect size, sample size, or level of significance boosts the power of the study. If any of these factors decrease, a larger sample size is needed. Power analysis helps balance these factors to ensure accurate results.