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.

Questions:

1. Explain Type I and Type II error.

2. If 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? Why?