2010.08.10 Quiz: Types of Error In Statistics

In statistics, which of the following is incorrect?
A. Type 0 error = the probability of "having a positive result due to an overpowered study" 
B. Type I error = the probability of “rejecting the null hypothesis when it is true"
C. Type II error = the probability of “failing to reject the null hypothesis when it is false" 
D. Type III error = the probability of "getting the right answer to the wrong question", or of "concluding that the two groups are statistically different, but you are wrong about the direction of the difference"
E. Type IV error = the probability of "incorrect interpretation of a correctly rejected hypothesis"