Hypothesis testing is an uncertain process due to inherent variation in the observations. There is thus the possibility of having the wrong conclusion, called error. The two types of error are as follows: Type I error (false positive): We reject (equivalently, find the result significant) when is actually true. In the mammography study, it is concluding that offering mammography decreases the likelihood of breast cancer death even if it actually does not