New research finds optimal sample sizes for detecting treatment differences.
The article compares sample sizes needed to detect differences in treatment means in scientific studies. The researchers provide tables for different significance levels, power levels, and treatment differences. The study shows that the sample sizes for analyzing means are similar to those for analyzing variances. This information can help scientists plan their experiments more effectively.