A study was conducted of 90 adult male patients following a new treatment for congestive heart failure. One of the variables measured on the patients was the increase in exercise capacity (in minutes) over a 4 - week treatment period. The previous treatment regime has produced an average increase of 2 minutes. The researchers wanted to evaluate whether the new treatment had increased the value of the true average increase in exercise capacity.

A)The data yielded a sample mean 2.2 and a sample standard deviation 1.05. Using significance level .05, what conclusion can you draw about the research hypothesis?

B) Describe Type I error in the context of this situation.

C) What is the probability of making a Type II error if the actual value of the mean is 2.1 and =.05? Assume that change in exercise capacity is normally distributed and =1 ?