A university is trying to determine how many of their students have watched a bystander intervention video aimed at reducing assault on campus. After posting the video to their social media, some...

A university is trying to determine how many of their students have watched a bystander intervention video aimed at reducing assault on campus. After posting the video to their social media, some school officials mention in passing that if it is not widely viewed, it may become a requirement to attend in-person trainings. In an effort to gauge how many students have viewed the video, the administration sends a survey to all students on campus (about 3500 students). About 30% of students choose to respond to the survey, producing a sample size of N = 1050. About 70% of the student respondents stated that they had watched the video. From this data, the administration concludes that their sample is large, it represents the whole student population, and therefore 70% of all students had watched the video. As a result, the in-person training is not warranted. Why is this a problematic conclusion to draw? In your answer, be sure to address the type of sample that was obtained, why it may be biased, the type of claim being made, and the type of validity in question. Finally, explain why the size of a sample is not as important as the way a sample was collected.