State the null and alternative hypotheses for the statistical test described below.

A. Testing to see if there is evidence that the mean of group 1 is not the same as the mean of group 2.

\(\mu\)1: mean of group 1

\(\mu\)2: mean of group 2

B. Testing to see if there is evidence that a proportion is greater than 0.3.

C. Testing to see if there is evidence that a mean is less than 50.

D. Testing to see if there is evidence that the proportion of people who smoke is greater for males than for females. Let group 1 be the males and let group 2 be the females.

\(p_m\): proportion of males that smoke

\(p_f\): proportion of females that smoke

E. Testing to see if there is evidence that the percentage of the population who watch the Home Shopping Network is less than 20%

\(p\): proportion of people who watch the Home Shopping Network

F. Testing to see if average sales are higher in stores where customers are approached by salespeople than in stores where they aren’t. Let group 1 be the group of stores where customers are approached by salespeople and let group 2 be the group of stores where customers are not approached by salespeople.

\(\mu_1\): average sales of stores where customers are approached by salespeople

\(\mu_2\): average sales of stores where customers are not approached by salespeople

G. Testing to see if there is evidence that the mean time spent studying per week is different between first-year students and upper-class students. Let group 1 be the first year students and let group 2 be the upper-class students

\(\mu_1\): mean time spent studying per week by first-year students

\(\mu_2\): mean time spent studying per week by upper-class students