Answer:
H0: p = 0.1 and Ha: p > 0.1
Step-by-step explanation:
At the null hypothesis, we test if the mean or proportion is equal to a certain value.
At the alternate hypothesis, we test if the mean or proportion is less than, more than, or different of the value tested at the null hypothesis.
A quality control inspector wants to determine if more than 10% of all shells contain just one peanut.
The value of 10% = 0.1 is tested, which means that the null hypothesis is ![H_{0}: p = 0.1](https://tex.z-dn.net/?f=H_%7B0%7D%3A%20p%20%3D%200.1)
Test if it is more than 10% = 0.1, so the alternate hypothesis is: ![H_{a}: p > 0.1](https://tex.z-dn.net/?f=H_%7Ba%7D%3A%20p%20%3E%200.1)