1. Cell Phones & Driving Alexis Baez Ann Marie Galli Meredith Alexis Mohsin Khan MBA 512 Final Presentation December 5 th , 2009

8. Survey Question #1 Cell Phone Use While Driving Are you male or female? Answer Options Response Percent Response Count Male 39.7% 23 Female 60.3% 35 answered question 58 skipped question 0

9. Survey Question #2 Cell Phone Use While Driving What is your age range? Answer Options Response Percent Response Count Under 21 3.4% 2 21-30 22.4% 13 31-40 44.8% 26 41-50 19.0% 11 51 and over 10.3% 6 answered question 58 skipped question 0

10. Survey Question #3 Cell Phone Use While Driving How have you used your cell phone while driving in the past 30 days? Check all that apply. Answer Options Response Percent Response Count Voice calls/Voice mail 98.2% 56 Text messaging 75.4% 43 Instant messaging 12.3% 7 Web browsing/Internet 22.8% 13 Music/MP3 player 12.3% 7 GPS Navigation 29.8% 17 E-mail 38.6% 22 answered question 57 skipped question 1

11. Survey Question #4 Cell Phone Use While Driving For what purpose do you use your cell phone while driving? Answer Options Response Percent Response Count Business use only 5.4% 3 Mostly business use 8.9% 5 Some business use / Some personal use 41.1% 23 Mostly personal use 23.2% 13 Personal use only 21.4% 12 answered question 56 skipped question 2

12. Survey Question #5 Cell Phone Use While Driving If a total ban on all cell phone use while driving were enacted into law, would you obey this law and cease using your cell phone if you thought you would not get caught? Answer Options Response Percent Response Count Yes 36.8% 21 No 63.2% 36 answered question 57 skipped question 1

13. Survey Question #6

14. Survey Question #7

15. Survey Question #8

16. Survey Question #9

17. Survey Question #10

18. Does age impact awareness of laws? HYPOTHESIS TESTS x-value sample 1 7 x-value sample 2 27 sample size 1 15 sample size 2 42 pooled proportion 0.596 proportion 1 46.7% proportion 2 64.3% under 30 over 31 std error 0.148 Does age impact awareness of laws? NULL:  under 30 =   over 30 Age does not impact awareness of laws ALTERNATIVE:  under 30 ≠   over 30 Age impacts awareness of laws one-tailed or two tailed? 2 test statistic (obs) (1.194) T observed is NOT greather than critical measure. critical measure 1.960 |obs| > critical?? NO p-value 0.232 P-Value is NOT less than alpha level.  -level 0.050 p-value < a-level?? NO DO NOT REJECT THE NULL! Therefore, the null stating Age does not impact the awareness of laws must be accepted.

19. Does gender impact business cell phone use? HYPOTHESIS TESTS x-value sample 1 2 x-value sample 2 1 sample size 1 22 sample size 2 35 pooled proportion 0.053 proportion 1 9.1% proportion 2 2.9% under 30 over 31 std error 0.061 Does gender impact business cell phone use? NULL:  m =  f Gender does not impact business cell phone use ALTERNATIVE:  m ≠  f Gender impacts business cell phone use one-tailed or two tailed? 2 test statistic (obs) 1.026 T observed is NOT greather than critical measure. critical measure 1.960 |obs| > critical?? NO p-value 0.305 P-Value is NOT less than alpha level.  -level 0.050 p-value < a-level?? NO DO NOT REJECT THE NULL! Therefore, the null stating Gender does not impact business cell phone use must be accepted.

20. Does age impact text messaging while driving? HYPOTHESIS TESTS x-value sample 1 30 x-value sample 2 11 sample size 1 41 sample size 2 16 pooled proportion 0.719 proportion 1 0.731707317 proportion 2 0.6875 40 & under Over 40 std error 0.132 Do people under 40 and under text message while they drive more than those over 40? NULL:  People 40 and under do not text while driving more than people over 40 ALTERNATIVE:  People 40 and under text while driving more than people over 40 one-tailed or two tailed? 1 test statistic (obs) 0.334 Conclusion: DO NOT REJECT THE NULL critical measure 1.645 The test results show that people 40 and under do not text while driving more than people over 40 with statistical significance, therefore we cannot reject the null hypothesis. The null hypothesis stands: People 40 and under do not text while driving more than people over 40. |obs| > critical?? NO p-value 0.369  -level 0.050 p-value < a-level?? NO

21. Is there a relationship between gender and opinions about cell phone laws while driving? SUMMARY OUTPUT Null: There is no relationship between gender & opinions on the law Regression Statistics Alt: There is a relationship between gender & opinions on the law Multiple R 0.01193 R Square 0.01% X=Gender, Y=opinion on laws about cell phone use while driving Adjusted R Square -1.80% Standard Error 1.078939 Conclusion: Do not reject the null Observations 57 ANOVA df SS MS F Significance F Regression 1 0.009114 0.009114 0.007829 0.92981571 Residual 55 64.02597 1.164109 Total 56 64.03509 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 1.454545 0.23003 6.323272 0.000000 0.993554046 1.915537 0.993554 1.915537 Gender -0.02597 0.293555 -0.08848 0.929816 -0.614270488 0.562322 -0.61427 0.562322

22. Is there a relationship between age, gender and use of a hands-free device? SUMMARY OUTPUT Null: There is no relationship between age, gender and the use of hands-free devices Regression Statistics Alt: There is a relationship between age, gender and the use of hands-free devices Multiple R 0.089883369 R Square 0.00807902 X(1)=Gender, X(2)=Age, Y=Use of Hands-free device Adjusted R Square -0.028658794 Standard Error 0.502004496 Conclusion: Do not reject the null Observations 57 ANOVA df SS MS F Significance F Regression 2 0.110838485 0.055419 0.21991 0.80330608 Residual 54 13.60845976 0.252009 Total 56 13.71929825 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 0.687229981 0.181007989 3.796683 0.000373 0.324330816 1.050129 0.324331 1.050129 Gender 0.007535416 0.136604293 0.055162 0.956213 -0.2663397 0.281411 -0.26634 0.281411 Age -0.046066513 0.069814555 -0.65984 0.51216 -0.18603627 0.093903 -0.18604 0.093903

23. Is there a relationship between the current cell phone driving laws and willingness to obey them? SUMMARY OUTPUT Regression Statistics Null: The current laws do not affect cell phone driving use. Multiple R 0.115 Alternative: The current laws do affect cell phone driving use. R Square 0.013 Adjusted R Square -0.005 X: Current law awareness Y: Willingness to obey laws. Standard Error 0.490 Conclusion: Do not reject the null. Observations 56 ANOVA df SS MS F Significance F Regression 1 0.175 0.175 0.730 0.397 Residual 54 12.95 0.240 Total 55 13.125 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 0.300 0.110 2.740 0.008 0.080 0.520 0.080 0.520 Current law awareness 0.117 0.137 0.854 0.397 -0.157 0.390 -0.157 0.390

24. Does gender impact obeying cell phone laws? HYPOTHESIS TESTS x-value sample 1 5 x-value sample 2 16 sample size 1 22 sample size 2 36 pooled proportion 0.362 proportion 1 0.2273 proportion 2 0.4444 Male Female Standard deviation 0.130 Is there an impact on one's gender, and the obeying of cell phone driving laws? NULL: p1=p2 Gender has no impact of the obeying of cell phone laws. ALTERNATIVE: p1<>p2 Gender has an impact on the obeying of cell phone laws. one-tailed or two tailed? 2 test statistic (obs) (1.670) critical measure 1.960 |obs| > critical?? NO Conclusion: Do not reject the null There is not enough statistical significance to support the Alternative hypothesis, therefore the Null Hypothesis cannot be rejected. There is no difference between males and females with obeying of the law. p-value 0.095 a-level 0.050 p-value < a-level?? NO

25. Does texting impair a driver ability more than voice calls?

26. Do female drivers text more than male drivers ?

27. Conclusions

28. Recommendations