Place the scientific method in order.
After it was over, she validated her initial belief that students' Tuesday and Thursday schedules was indeed particularly long especially amongst athletes.
After she collected the data she reviewed it and used the statistical package for the social sciences to code it and help identify trends. Over the course of four weeks, Shanica distributed her survey until she'd collected 200 responses.
She decided to conduct a quantitative analysis using survey to ask students about their day.
She posited that activities and schedules cause to students to not be able to come to the cafeteria until after 6:00pm EST. There was an inordinate amount of activity in the cafeteria on certain days of the week versus others.
Shanica noticed students didn't have time to eat dinner in the cafe on Tuesday's and Thursday's.
She checked the student handbook, course schedule catalog and activities schedule to understand students availability to eat.
She sat outside the cafeteria to see if any of the schedules she reviewed correlated with busy hours and days.