Presentation Transcript

1. Texting and Driving

   Joanna Curran And Brianna Baer
2. Texting and Driving How many teenagers use their phones while driving Are there factors that affect if people use their phones while driving Is texting while driving actually as widespread as the news makes it seem??
3. Distractions While Driving By observing a national survey of 900 teens around the country Teenagers find these attributes the most distracting for drivers: Instant or text messaging while driving - 37 percent [The teen driver's] emotional state - 20 percent Having several friends in the car - 19 percent Talking on a cell phone - 14 percent Eating or drinking - 7 percent Having a friend in the car - 5 percent Listening to music - 4 percent
4. Gathering our Data We observed different surveys given by Insurance companies on teens texting and driving We also conducted a survey of all the different attributes of the surveys we found We sent the questions out in Penn State Altoona’s and St. Joseph’s University student Facebook groups We collected our data in a systematic random sample, and used the results of every third person that responded We used 57 student’s results
5. Age Vs. Gender We found that the majority of the data we collected came from females Females were also the only two 19 years olds tested in our experiment There were more females than males in each aspect of the experiment
6. Phone Use While Driving vs. Type of Phone The smart phones have higher results People that own a smart phone use their cell phone more while driving Yet, more people who have regular phones do not use their cell phone while driving
7. Gender vs. What Activity Used Most on Phones We found that females most use their phones to make calls while they drive, consisting of 19 subjects The males and females have low results for iPod use while only 2 males and 3 females responded yes Males most favor texting with 12 subjects responding yes There were 4 subjects that did not apply for this test for they do not use their cell phone while driving
8. Share Car vs. Pay for Own Insurance We found that a majority of our subjects do share a car with a parent/family member Yet, most of the respondents stated that they do not pay for their own car insurance Therefore, we performed a test to see who text while driving without having to worry about paying their car insurance
9. Pay for Own Car Insurance vs. Cell Phone Use The majority of our subjects responded that they DO use their cell phone while they are driving, but they do not pay for their own car insurance Those who pay for their own car insurance are less likely to use their cell phone while they are on the road
10. Support Laws vs. Behavior Change A large amount of our subjects responded that they would not support new laws against cell phone use while driving Although, these same subjects say that they would change their behavior if they were put out A good amount of our subjects also responded that they would support these laws Almost all of our subjects stated that they would change their behavior if these laws were enforced
11. Analysis and Conclusions Most teens use their phone in some way while driving The majority call, many text, and few use a music feature People are more likely to use their phones in the afternoon or evening Most people would not change their behavior if laws were put in place however most people support a law banning cell phone use while driving
12. 1-Proportion Z Interval Conditions SRS Np, nq >10 Pop>10n Assumed 42,15>10 # of teens>540 Conditons met=> norm dist=> 1-prop zint =(.64091,8328) We are 90% confident that the true proportion of people who use their phones while driving is between 64.091% and 83.28%.
13. 1-Proportion Z Test Conditons met=> norm dist=> 1-prop z test =-1.1921 P(p<-1.1921)=.1166 We fail to reject the claim because our p-value of .1166 is greater than alpha=.05 We have sufficient evidence that the true proportion of people that use their phones while driving is equal to 80%.
14. Chi-Square Goodness of Fit Test Conditons Categorical data SRS All exp counts>5 Activity on phone is categorical Assumed All exp counts>5 Conditons met=> chi-square dist=> chi-square GOF test
15. Chi-Square Goodness of Fit Test Ho: Distribution of our data for activity on phone matches the distribution of nationwide’s data Ha: Distribution of our data for activity on phone does not match the distribution of nationwide’s data We reject the claim because our p-value of 2.504 x 10^-14 is less than alpha=.05 We have sufficient evidence that the distribution of our data for activity on phone does not match the distribution of nationwide’s data.
16. Chi-Square Goodness of Fit Test We reject the claim because our p-value of 2.504 x 10^-14 is less than alpha=.05 We have sufficient evidence that the distribution of our data for activity on phone does not match the distribution of nationwide’s data.
17. Chi-Square Test for Indepence Conditions Categorical Data SRS All exp cell counts>5 Phone use and sharing a car are categorical data Assumed All exp cell counts>5 Conditons met=> chi-square dist=> chi-square test for independence
18. Chi-Square Test for Independence Ho: There is an association between cell phone use and sharing a car Ha: There is no association between cell phone use and sharing a car
19. Chi-Square Test for Independence We fail to reject the claim because our p-value of .3891 is greater than alpha=.05 We have sufficient evidence that there is an association between cell phone use and sharing a car.
20. Chi-Square Test for Independence Conditions Categorical Data SRS All exp cell counts>5 Phone use and paying for insurance are categorical data Assumed All exp cell counts>5 Conditons met=> chi-square dist=> chi-square test for independence
21. Chi-Square Test for Independence Ho: There is an association between cell phone use and paying for insurance Ha: There is no association between cell phone use and paying for insurance
22. Chi-Square Test for Independence We fail to reject the claim because our p-value of .52341 is greater than alpha=.05 We have sufficient evidence that there is an association between cell phone use and paying for car insurance.
23. Our Findings 1-Prop Z Test Good test to perform, showed our data was not too far away from the national data Chi-Square GOF Test Good test to perform Showed a bias in our data collection (only having data from teens) Chi-Square Tests for Independence Good tests to perform Proved a person is more likely to use their phone if they do not have to share it with another family member Proved a person is more likely to use their phone if they do not have to pay for car insurance.
24. Bias/Error Mostly females responded Only teenagers (ages 17-19) had been able to respond to the survey Only students attending Saint Joe’s or Penn State Altoona as freshman next year could respond Relied on voluntary response
25. Personal Opinions Data Easy to collect data People are more willing to participate in our survey than we had expected Surprised our data did not match the distribution of nationwide’s data Not surprised to find associations in our tests for independence Project Took a long time to put together all of the components (as there were many) Fun project to research