Education researchers are interested in the workload expectations of freshmen at a local university. Which of the
following techniques would give a stratified random sample?
Randomly select 10 freshmen from each of the majors at the university
Randomly select 10 freshmen from the cafeteria on each of the 5 days of the first school week.
Randomly select 1 professor at the university and have them survey all of their freshman students.
Survey the students in some randomly selected freshman seminar classes, since freshmen are randomly put into
those classes

Education researchers are interested in the workload expectations of freshmen at a local university Which of the following techniques would give a stratified ra class=

Respuesta :

Answer:

low

Step-by-step explanation:

Freshman are low motivated, since there was 10 of them in the cafeteria that means they are more fascinated by eating than the wonders of the world. According the graph you can see them get lower motivated during the durational duration of the week. Brainiest  

                                 

Answer:

A: Randomly select 10 freshmen from each of the majors at the university.

Step-by-step explanation:

This is because stratified random sampling is taking a population and dividing them into subpopulations. So, majors would be the best way to divide up college freshmen into different subsections to survey them about their workloads because each major would have a different answer and result.