Answer:
a)
![H_(0): \mu = 62500\text{ dollars per year}\\H_A: \mu > 62500\text{ dollars per year}](https://img.qammunity.org/2020/formulas/mathematics/college/u4u8inhlw7xlz4jyc7ovl27keh0oxk9h0r.png)
b)
![H_(0): \mu = 2.6\text{ hours}\\H_A: \mu \\eq 2.6\text{ hours}](https://img.qammunity.org/2020/formulas/mathematics/college/zkx8b6jcg5dchoajgr3q9bmhggbnfaz8k5.png)
Explanation:
We have to build appropriate null and alternate hypothesis for the given scenarios.
a) Population mean, μ = $62,500 per year
The market research wants to find whether the mean household income of mall shoppers is higher than that of the general population.
![H_(0): \mu = 62500\text{ dollars per year}\\H_A: \mu > 62500\text{ dollars per year}](https://img.qammunity.org/2020/formulas/mathematics/college/u4u8inhlw7xlz4jyc7ovl27keh0oxk9h0r.png)
We would use one-tail(right) test to perform this hypothesis.
b) Population mean, μ = 2.6 hours
The company want to know the average time to respond to trouble calls is different or not.
![H_(0): \mu = 2.6\text{ hours}\\H_A: \mu \\eq 2.6\text{ hours}](https://img.qammunity.org/2020/formulas/mathematics/college/zkx8b6jcg5dchoajgr3q9bmhggbnfaz8k5.png)
We would use two-tail test to perform this hypothesis.