Answer:
Type I error: The correct option is (C).
Type II error: The correct option is (D).
Step-by-step explanation:
The type-I-error is the probability of rejecting the null hypothesis when the null hypothesis is true.
The type-II-error is the probability of filing to reject the null hypothesis when in fact it is false.
The hypothesis in this problem can be defined as follows:
Null hypothesis (H₀): The percentage of adults who have a job is equal to 88%.
Alternate Hypothesis (Hₐ): The percentage of adults who have a job is different from 88%.
The type-I-error in this case will be committed when we conclude that the percentage of adults who have a job is different from 88% when in fact it is equal to 88%.
The type-II-error in this case will be committed when we conclude that the percentage of adults who have a job is equal to 88% when in fact it is different than 88%.