1. What is the probability of a decision adverse to drug A if the probability of side-effects really is 10%?

2. What is the probability of a decision in favour of drug A , if the probability of side-effects is actually 15%?

3.

A pharmaceutical company claims that a new drug (A) cures a disease with only 10% of patients suffering nausea as a side-effect. Medical researchers are concerned about the probability of side-effects and propose a study of the case histories of 400 patients. Their recommendation to their employers will be to use an alternative, more expensive, drug (B) if 13% or more patients are found to have suffered side-effects. {Remember, if the probability of an event is p, the standard error of a sample proportion drawn from n observations is p (1 - p) / vn}If the null hypothesis is H.) : p = Ill {where p is the probability of sideeftecls}, attribute the probabilities derived as type I or type II errors