Texting and Driving Joanna Curran And Brianna Baer

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??

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

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

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

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

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

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

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

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

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

1-Proportion Z Interval Conditions ▫SRS ▫Np, nq >10 ▫Pop>10n ▫Assumed ▫42,15>10 ▫# of teens>540 Conditons met=> norm dist=> 1-prop z int =(.64091,8328) We are 90% confident that the true proportion of people who use their phones while driving is between % and 83.28%.

1-Proportion Z Test Conditons met=> norm dist=> 1-prop z test P(p< )=.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%.

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

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 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.

Chi-Square Goodness of Fit Test We reject the claim because our p-value of 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.

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

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

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.

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

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

Chi-Square Test for Independence We fail to reject the claim because our p-value of is greater than alpha=.05 We have sufficient evidence that there is an association between cell phone use and paying for car insurance.

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.

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

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