Wednesday, June 4, 2014

After School Survey

Nathan and I decided to do a survey for each grade.  This was a survey of how kids spent their time after school.  A stratified random sample was done to select people from each grade.  We asked them a series of questions about their time after school (mostly multiple choice).  We were looking for any correlation between grades that we could represent through graphs.  

After we had surveyed that was selected, we looked over the data for anything useful.  We broke it down to four groups that had good correlation between grades.  These groups were amount of sleep and free time and how much time people spent working or participating in after school activities.  We found some differences between seniors and other grades in a couple of categories.  Seniors had less sleep and time spent participating in after school activities and more time spent working.  We displayed this data through box plots, histograms, and bar graphs. 

The first graph here is a graph of how senior are working a lot more hours than the other grades.  The amount of people increases with each, in which seniors work the most hours.  Freshmen work the least with the majority of the grade not working at all.  The reasoning behind this is probably that since seniors are oldest they need to work more for college and other reasons.  Freshmen aren't able to drive so that can be a factor.

In this graph, we compared grades in time spent participating in after school activities.  As seen here, the seniors have a relatively low amount of students participating in after school activities.  The Juniors have a good amount of students who did not do any after school activities.  But the ones who did participate spent many hours doing it.  Seniors had more people in after school activities, but they didn't spend as much time doing them.  Freshmen and sophomores had equal amounts of people in after school activities and times spent doing them.  

This data could be more precise and accurate if we take a larger sample size.  In a future study, we could ask more detailed questions that can prove our theories correct or incorrect.

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