Please Help me with this , will be really appreciate.

Assume we have a standard treatment {treatment 2] with expected value of the disease outcome as El and treatment 2 with expected response n2. We want to demonstrate that the new treatment, treatment 1, is not inferior to treatment 2, and by this we mean not worse by more than some difference we are willing to tolerate, 5L Thus we have: Hn:n15n2-m vs Hh:n1}n2-u. Please use this to derive the test statistic one would use to test this set of hypothesis, and the formula for sample size calculation for desired power of l-Beta where Beta is type II error. Hint: first put this into a form where you have D on the right side of the null and derive the test statistic for this. Then note that in this study, we would want power of l-Beta to detect if the new drug is at least as good as standard treatment, so power is calculated at n; - n2