Researchers in Lebanon conducted a study to identify personality characteristics that can be used to predict "addiction" to the internet and social media.

(a) The study was carried out at a private university in Lebanon. To select the sample, the student population was ordered by student identification numbers and every 5th student from the list was invited to participate. Would this sample be a simple random sample, a systematic sample, a stratified sample, or a cluster sample?

simple random sample
systematic sample
stratified sample
cluster sample

(b) Based on the sampling method described in part (a), is it reasonable to assume that this sample is representative of all students at this university in Lebanon?

Yes, because the sample was randomly selected.
No, because the sample was not randomly select

(c) Based on the sampling method described in part (a), is it reasonable to assume that this sample is representative of all internet users and social media users?

No, because the sample was selected from only students at this university in Lebanon.
Yes, because the sample was randomly selected.
Yes, because the sample was selected from internet users and social media users.
No, because the sample was not randomly selected.

(d) Some students who were selected for the sample chose not to participate in the study. In total, 586 participants completed the survey for an overall response rate of 41.86%. Are you concerned about nonresponse bias in this study? Or does the large sample size eliminate these concerns?

The response rate of 41.86% is not low enough to be concerned about nonresponse bias.
Nonresponse bias is not a concern because the sample size of 586 is fairly large, so the sample should still be
representative of the population.
There is concern about nonresponse bias because there could be something systematically different about those
participants who chose to respond.