1. The problem statement, all variables and given/known data A drug company markets a medication that cures about 60% of cases with depression. A CB program is thought to be more effective. It was delivered to 15 depressed people. Determine the minimum number of cured people required to support the claim that the CB program is more effective than the drug. Use alpha=.10. 2. Relevant equations nCx p^(x)q^(n-x) 3. The attempt at a solution This is a binomial distribution problem. - Upper tail test (H1: p>.6000) n = number of trials = 15 p = probability of a success on a given trial = .6000 x = ? I am trying to solve for x. However, I have no idea as to how to go about this. If I plug in the known values into the binomial distribution equation (written under "relevant equations") it becomes too difficult for me to solve, beyond the scope of the course I'm taking. I cannot use the normal approximation to solve the problem, because nxp does not equal 10. Could someone please give me some detailed guidance? It would be greatly, greatly appreciated.