What is the Type I Error? What is the Type II Error? How would these two concepts affect the way people form a null hypothesis versus an alternative hypothesis? Please provide a real-world example to demonstrate how you would set up the null and the alternative hypothesis to reach a conclusion. (Hint: Statistically, one can only reject a null hypothesis, but cannot accept one. For this reason, the right way to set up hypothesis testing is to put/state your conclusion or what you want to prove in the alternative rather than the null hypothesis.)