1. STATISTICS 1040 TERM PROJECT SPRING 2012

2. THE QUESTION Is a student’s Grade Point Average (GPA) correlated with their age?

3. THE PLAN: Each member of the group went to different parts of the SLCC Campus at different times to gather 20 random samples of student’s age’s and their GPA. Sample Size: 80

4. OUR DATA COMPILED DATA FOR TESTING CORRELATION BETWEEN AGE AND GPA AGEGPAAGEGPAAGEGPA 183.2203.4253.8 182.09213.9252.75 183.7213.4253.4 183213.3263.8 183.9213.3263 183212.9273.1 183.7213.975282.5 193.4213.52284 193.8213.8283.6 193.9212.49283.8 193.2213.5292.8 193223.6303.9 193.5222.8302.5 193.5223.3313.6 193223.8323.8 193224322.8 194222.5323.3 193.5223.48332.7 203.6223.8333.4 203.8223.5333.6 203.9233.7343.9 203.9232.4353.7 202.9242.2363.7 202.4242.9423.8 203.6243.6433.4 203.6243.85472.5 203.5242.5

5. AGE Mean=24.0875 Standard Deviation=6.22 Minimum=18 Quartile 1=20 Median=22 Quartile 3=27.5 Maximum=47 Range= 29 Mode=19 Outliers= 42, 43, 47 Statistics for our first quantitative variable

6. HISTOGRAM FOR AGE

7. BOX PLOT FOR AGE

8. GPA Mean=3.3519375 Standard Deviation=.50 Minimum=2.09 Quartile 1=3 Median=3.5 Quartile 3=3.8 Maximum=4 Range=1.91 Mode=3.8 Outliers=No outliers Statistics for Second Quantitative Variable

9. HISTOGRAM FOR GPA

10. BOX PLOT FOR GPA

11. TESTING CORRELATION BETWEEN AGE AND GPA r= -0.037470974 n=80 Line of Regression equation- y=a+bx y=3.4297+ (-.00323)x

12. SCATTER PLOT SHOWING LINE OF REGRESSION

13. IS THERE CORRELATION BETWEEN A STUDENTS GPA AND THEIR AGE?? NO

14. COMPARING THE DISTRIBUTION AGE-RIGHT SKEWEDGPA-LEFT SKEWED

15. CONCLUSION There were many lurking variables such as dedication to school work, past school experience and education as well as outside factors such as family, work and other responsibilities. We predict that if we may have had a larger sample size, we may have seen some signs of correlation occurring.

16. GROUP 5 Sara Call-data collection, Power Point, Speaker Brock Hill-data collection, Compiling group Data, Speaker Melinda Merkley-data collection, Speaker Kristen Mitchell-data collection, Power Point, Speaker