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# Term project visual_presentation

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### Term project visual_presentation

1. 1. Term Project Visual Presentation Group 1 April 27, 2011
2. 2. Research QuestionIs the number of credit hours taken at SLCC per week related to the number of hours per week that the student works at a job?
3. 3. Approach:• We are going to collect data by Systematic sampling and choose every 10’th student walking by. We are going to sample on a Tuesday and Wednesday of the same week. This should give us the largest percentage of students taking classes. Wednesday students will most likely be on a Monday/Wednesday schedule and the Tuesday students should be on a Tuesday/Thursday schedule. Each group member will survey for 2 hours per day with the first member of the group starting at 7:45am to catch the 8:00 classes. The next group member will take over at 9:45 and so on until the 5’th group member finishes at 6:00 pm. We will choose different locations around the campuses to survey from so we get the widest range of students in different fields of study. Using systematic sampling and different locations around the campuses should give us a very good random sample of students.
4. 4. DATA
5. 5. HistogramsCredit hours Hours worked
6. 6. Box Plots
7. 7. ResultsSimple linear regression results:Dependent Variable: Work HoursIndependent Variable: Credit HoursWork Hours = 37.872406 - 0.98368984 Credit HoursSample size: 103R (correlation coefficient) = -0.2587R-sq = 0.06694811Estimate of error standard deviation: 14.91806 Credit hours Working HoursMean 10.2 27.83Standard Deviation 4.04 15.37Range 15 60Mode 12 40Median 11 30Mimimum 3 0Maximum 18 60Q1 6 20Q3 13 40
8. 8. Summary of Statistics• As a group we decided to look at the relation between credit hours taken at SLCC and hour per week worked. We surveyed students at different times and at different SLCC campuses to try to get a good diversity of the student population at SLCC. We found that there was a wide range of credit hours and hours worked for students, range for credit hours was 3 to 18, and range for hours worked was 0 to 60. Our mean was 10.2 for credit hours and 27.8 for working hours. Most of the students surveyed were full time students with a mode of 12 credit hours. The mode for hours worked was 40, which means most of the student had full time jobs as well. The correlation coefficient was -0.26, telling us that there is a very small negative correlation. Our sample size was 103; we suspect that if we were able to survey more students, there would be a stronger negative correlation. This would strengthen the argument that as the amount of credit hours increases, the amount of working hours does decrease in a negative correlation.
9. 9. Term ProjectGroup I – Credits•Jamie Wilkey: Graphs, Research Question, Approach, Data, Formatting and Clip art. Submission•Kylie Bolton & Tori Ackerman: Summary of Statistics•Dale Gehrig: Results