(4b) As discussed in the assigned readings on Type I and Type II errors, when you are testing a hypothesis, there is the possibility your conclusion is incorrect. You could reject your null hypothesis when it's actually true (Type I error), or you could not reject the null hypothesis when the alternative is true (Type II error). You can think of this in terms of a trial. If the jury puts an innocent man in jail, this is a Type I error. If the jury lets a guilty person go free, this is a Type II error.

In this week's class discussion, post on the following question:

• Someone tells you something and you need to decide if you should believe him or her. Are you more likely to be worried about committing a Type I error or a Type II error?