Final answer:
A Simple Random Sample or a Stratified Random Sample of students across the CSU campuses would allow for reliable data collection on the average distance between student hometowns and their campus, taking into account that self-reporting may introduce errors.
Step-by-step explanation:
When considering methods to sample the average distance between the hometowns of students and their California State University (CSU) campuses, there are several sampling techniques that can be considered:
- (a) Simple Random Sample - This involves randomly selecting students from the entire CSU system, which could help ensure that each student has an equal chance of being included in the sample.
- (c) Self-reporting issues – When students report distances, errors can occur due to recording mistakes or poor recall. This is an important consideration that can affect data accuracy.
- (e) Stratified Random Sample - This method involves taking a simple random sample from each of the 23 campuses to avoid overrepresentation or underrepresentation of any single campus and can provide a more accurate reflection of the entire system.
Option (b) is incorrect as there are potential problems with self-reporting of distances, and option (d) is impractical for such a large population and not necessary for making inferences. Therefore, options (a), (c), and (e) are relevant to the question.