Answer:
![H_0: p=0.30](https://img.qammunity.org/2020/formulas/mathematics/middle-school/xx2v5gn3cf1e3gvm3qxdp8nnj6nt6q4v0m.png)
![H_a: p <0.30](https://img.qammunity.org/2020/formulas/mathematics/college/slgk3p2urgtnel2eufmv77kr3j20c35ifi.png)
Explanation:
Definition:
Null Hypothesis : It is a statement about the population parameter that contains = , ≤ and ≥ signs.
Alternative hypothesis : It is also a statement about the population parameter against the null hypothesis that contains ≠ , < and > signs.
For the given situation.
Let
be the population proportion of treated patients are uninsured.
A hospital director is told that 30% of the treated patients are uninsured.
Then, Null Hypothesis :
![H_0: p=0.30](https://img.qammunity.org/2020/formulas/mathematics/middle-school/xx2v5gn3cf1e3gvm3qxdp8nnj6nt6q4v0m.png)
The director wants to test the claim that the percentage of uninsured patients is less than the expected percentage.
i.e. Alternative hypothesis :
![H_a: p <0.30](https://img.qammunity.org/2020/formulas/mathematics/college/slgk3p2urgtnel2eufmv77kr3j20c35ifi.png)
Hence, the set of hypothesis :
![H_0: p=0.30](https://img.qammunity.org/2020/formulas/mathematics/middle-school/xx2v5gn3cf1e3gvm3qxdp8nnj6nt6q4v0m.png)
![H_a: p <0.30](https://img.qammunity.org/2020/formulas/mathematics/college/slgk3p2urgtnel2eufmv77kr3j20c35ifi.png)