Ho: \(\mu_i\) is equal to \(\mu_j\) Ha: \(\mu_i\) is not equal to \(\mu_j\)
The test is comparing the means among treatments. There are tau pair comparisons of interested. Adjusted the multiple comparison by Bonferroni method,
OneWayANOVA.pairwise(alpha, beta, tau, sigma, margin)significance level
power = 1-beta
there are tau pair comparisons
standard deviation
\(margin=\mu_i-\mu_j\)
the difference between the true mean response of group i \(\mu_i\) and group j \(\mu_j\)
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003