State the null and alternative hypotheses for the statistical test described below.
\(\mu\)1: mean of group 1
\(\mu\)2: mean of group 2
Null hypothesis (H0): \(\mu\)1 = \(\mu\)2
Alternative hypothesis (H1): \(\mu\)1 \(\neq\) \(\mu\)2
Null hypothesis (H0): p = 0.3
Alternative hypothesis (H1): p > 0.3
Null hypothesis (H0): \(\mu = 50\)
Alternative hypothesis (H1): \(\mu \lt 50\)
\(p_m\): proportion of males that smoke
\(p_f\): proportion of females that smoke
Null hypothesis (H0): \(p_m = p_f\)
Alternative hypothesis (H1): \(p_m > p_f\)
\(p\): proportion of people who watch the Home Shopping Network
Null hypothesis (H0): \(p = 0.20\)
Alternative hypothesis (H1): \(p < 0.20\)
\(\mu_1\): average sales of stores where customers are approached by salespeople
\(\mu_2\): average sales of stores where customers are not approached by salespeople
Null hypothesis (H0): \(\mu_1 = \mu_2\)
Alternative hypothesis (H1): \(\mu_1 > \mu_2\)
\(\mu_1\): mean time spent studying per week by first-year students
\(\mu_2\): mean time spent studying per week by upper-class students
Null hypothesis (H0): \(\mu_1 = \mu_2\)
Alternative hypothesis (H1): \(\mu_1 \neq \mu_2\)