1. Kayla KrasleyKayla Krasley Mandy SchaferMandy Schafer

2. Created in Detroit, Michigan in 1915 Automobiles outdoing horse and buggies Early signs were the word “stop” in black on a white piece of metal Sign to get people to think twice before crossing Became a more serious sign in the flow of traffic

3. Yellow octagon with black letters Later changed to red Used worldwide except in Japan Only octagon shaped sign on the highway Must stop and wait for all the intersection to clear

4. Determine community safety Determine gender differences abiding by the traffic laws Look at age affects

5. Stop sign into South student parking lot from Bristol Road Stop sign in front South parking lot by flag pole Stop sign in front of Giant on Rt. 202 Stop sign in front of Toys ‘R Us on Rt. 309 Divided our data into ½ second intervals

9. Min = 0 Q1 = 0 Median = 0.28 Q3 = 1.14 Max = 4.13 Mean =.70385 Std Dev =.9127

11. Assumptions SRS Normal Population or n ≥ 30 Assumed 192 ≥ 30 Hypotheses Ho: μ = 3 Ha: μ < 3

12. t- Test t = -34.857 Conclusion We reject Ho in favor of Ha because p-value of 0 < α = 0.05. We have sufficient evidence that the mean time for stopping is less than 3 seconds. P(t < -34.857 | df = 191) = 0

13. 95% Confidence Interval = (.57392,.83379) Conclusion We are 95% confident that the mean time for stopping is between.57392 and.83379 seconds. *

14. Assumptions 2 independent SRS Sample size large enough so all expected counts ≥ 5 Assumed exp counts ≥ 5 Hypotheses Ho: There is no association between gender and the time stopped Ha: There is an association between gender and the time stopped TimeMaleFemaleTotals 0513485 0.5121426 1161026 1.59817 289 2.5729 3426 3.5325 4000 4.5011 5000 11082192

15. X² - Test X² = 5.739 Conclusion We fail to reject Ho because our p-value of.6764 > α = 0.05. We have sufficient evidence that there is no association between gender and the time stopped. P(X² > 5.739 | df = 8) =.6764

16. Assumptions 2 independent SRS nm(pm) nm(1-pm) nf(pf) nf(1-pf) popm ≥ 10nm popf ≥ 10nf Assumed (.46)(110) (.54)(110) (.41)(82) (.59)(82) Hypotheses Ho: pm = pf Ha: pm < pf ≥ 10 popm ≥ 10(110) popf ≥ 10(82)

17. z - Test z =.67619 Conclusion We fail to reject Ho in favor of Ha because p- value of.2495 > α = 0.05. We have sufficient evidence that the proportion of males that stop is equal to the proportion of females that stop. P(z >.67619) =.2495

18. 95% Confidence Interval = (-.0926,.19062) Conclusion We are 95% confident that the difference in proportion of males and females that don’t stop at stop signs is between -.0926 and.19062. << <<<<

19.  South needs to be more aware of safety  Saving a life is more important  Watch for pedestrians  One should always stay on their side of the road

21. 2007 Statistics Passenger vehicle deaths: 28,933 Injuries: 2,221,000 Pedestrian Deaths: 4,654 Injuries: 70,000 Each Year 200 fatal and 17,000 nonfatal crashes due to running stop signs Be cautious of other drivers

22. Speed bump at South confuses drivers Buses block the stop sign at South Different techniques with stopwatch Time of day Type of stop signs