8. has been used in the last few chapters to represent the probability that an error will occur. Some situations, like those in medical trials, may want to minimize the risk of errors. Why can we never have an = 0 mathematically speaking?

9. Describe the relationship between the null hypothesis, H0, and the alternative hypothesis H1. If you accept H0 what do you do to H1, and the other way around? 10. Describe in your own words the relationship between the value of and the measure of our critical value(s). What would = 1.00 look like based on your comprehension of this relationship?