1. MATH 1040 – FINAL PROJECT

2. Research Question  For SLCC (Utah) Summer 2013 students, is the number of concurrent class credits a student takes in high school related to the number of years it takes for a student to graduate with their Associate’s degree?

3. Study Design  Cluster Sample We separated the population into clusters of individual classes that were offered at SLCC during the summer of 2013 and then took a random sample of these clusters ○ 1871 classes offered at SLCC (in Utah) during summer of 2013 ○ Randomly chose 12 of these classes using a random number generator 

4. Choosing our Clusters  12 Randomly Generated Numbers 16 18 389 450 510 778 1130 1219 1267 1345 1524 1544  12 Corresponding Classes BIOL 1010-01 BUS 1010-01 MEEN 2665-02 ART 1200-01 ART 1135-01 MATH 1995-03 COMM 1010-014 ECON 2010-003 NSG 1350-001 AMTT 1160-001 PSY 1010-009 ENGL 1010-014

5. Our Survey We gave this survey to EVERY INDIVIDUAL within each of our 12 clusters (classes). The number of concurrent classes taken in high school was determined by the answer to question 1. The number of years it takes for a student to graduate with their Associate’s Degree was determined by adding the numbers from question s 2 & 3.

6. Our Data Table (a small segment) # of concurrent class credits taken in High School # of years to graduate with Associates Degree 04 03 03 32.5 43.5 ……

7. STATISTICS  # of concurrent class credits a student takes in HS Mean: 2.2273 Standard Deviation: 3.8280 Five Number Summary: Min = 0, Q1 = 0, Median = 1, Q3 = 3, Max = 35 Range: 35 Mode: 0 Outliers: 8, 9, 9, 9, 10, 12, 12, 20, 20, 35  # of years for student to graduate with Associate’s degree Mean: 2.9005 Standard Deviation: 1.1104 Five Number Summary: Min = 1.3, Q1 = 2, Med = 3, Q3 = 3.5, Max = 11 Range: 9.7 Mode: 2 Outliers: 11

8. Frequency Histograms Skewed Right

9. Relative Frequency Histograms

10. BoxPlots # of concurrent classes a student took in HS # of years it takes a student to graduate with Associate’s degree

11. Correlation Linear Correlation Coefficient (r): -.1452 Equation for Line of Regression: y = -.0421x + 2.9943

12. Analysis  Our linear correlation coefficient: (r) = -.1452 Our r value means there is a very weak negative correlation between the two variables ○ As the number of concurrent class credits goes up, the number of years it takes to obtain an Associate’s degree goes down

13. DF (degree of freedom) & Critical Value  N = 1871 (population)  n = 12 (sample)  df = n – 2 = 12 - 2  df = 10  Statistical Significance =.05 Statistical Significan ce (p).05 …… 9.602 10.576 11.553 ……  Critical value =.576

14. Reject or Fail to Reject the Null Hypothesis???  Null Hypothesis: There is no relationship between the number of concurrent classes a student takes in high school and the time it takes a student to graduate with their Associate’s degree.  Is | r | > critical value? | r | =.1452 Critical value =.576 ○ NO  Fail to reject null hypothesis

15. What does this mean???  Although there is a slight negative correlation with an r value of -.1452 within our sample, there is no statistical evidence that this same correlation exists within our population. Far less than 95% of the relationship we found among our sample of 12 classes will also exist in the population of 1871 classes.

16. Conclusion  We fail to reject the null hypothesis. There is no correlation/relationship between the number of concurrent class credits a student takes in high school and the number of years it takes a student to obtain their Associate’s degree for SLCC (Utah) summer 2013 students.

17. Problems/Difficulties  Should have given the survey to more than 12 out of the 1871 clusters to get a better sample of the population  Should have used ‘graduates’ instead of ‘current students’ to get accurate information  Several lurking variables

18. Participants  Kiersten, Kimberly, Timothy, Markee We all worked collaboratively on this. All parts were done and checked equally by all members of the group.