Consider the following questions:
Suppose we have the following. For each, identify whether it is a Type I error or a Type II error:
1. An individual is told she has cancer but she really doesn't.
2. A person guilty of committing a crime is found innocent in a court of law.
3. An individual is told he doesn't have AIDS, when he really does.
4. A hypothesis test proves one product sells better than another when it really doesn't.
5. A person is found guilty of committing a crime in a court of law when he really didn't commit the crime.
6. A customer satisfaction survey shows that customers are satisfied when they really aren't.
7. A customer satisfaction survey shows that customers are not satisfied when they really are.
Which is worse, a Type I error or a Type II error?