The california state university (csu) system consists of 23 campuses, from san diego state in the south to humboldt state near the oregon border. a csu administrator wishes to make an inference about the average distance between the hometowns of students and their campuses. describe and discuss several different sampling methods that might be employed. (select all that apply.)
one could take a simple random sample of students from all students in the california state university system and ask each student in the sample to report the distance from their hometown to campus.
there are no potential problems with self reporting of distances.
certain problems arise with self reporting of distances, such as recording error or poor recall.
instead of taking a random sample, every student should be included in the study.
the sample could be generated by taking a stratified random sample by taking a simple random sample from each of the 23 campuses and again asking each student in the sample to report the distance from their hometown to campus.

Step-by-step explanation:

The type of sampling method that is not applicable for the situation is obtained as shown below:

If the sampling methods are used there would be some potential problems with self reporting. Also, there is no need to include each and every student in the study to draw inference about the average distance between the hometowns of the students and their campus.

The California state University has 23 Campuses and is interested in about making the inference about the average distance between the hometowns of the students and their campus.

That is, a simple random sample of the students can be taken and record the distances between the hometowns and their campuses.

If a sample of students is taken from the California state University using the sampling methods, there would be a possibility for the occurrence of sampling and non sampling errors. Such as recording error or poor recall.

The California state University has 23 Campuses; hence the stratified sampling method would also be applicable by considering the 23 campuses as subgroups and then taking the sample.

One could take a simple random sample of students from all students in the California State University system and ask each student in the sample to report the distance from their hometown to campus.

The sample could be generated by taking a stratified random sample by taking a simple random sample from each of the 23 campuses and again asking each student in the sample to report the distance from their hometown to campus.

Certain problems arise with self reporting of distances, such as recording error or poor recall.

not sure but it may be b, as i said i'm not sure.