In order to do this study, we needed raw data. Our population for this survey is North Olmsted students over 16 that can drive. So to start sampling, we got a list of every student in the school, and eliminated anyone under 16. We then stratified the list into females and males and used Minitab to randomly selected 50 from each gender. We then send them the surveys (as detailed below). Out of the 100 surveys send, we got back 69 of them. 16 selected that they don’t drive, so their data was unusable. So out of the 100 surveys send, we could only use 53 of them, 26 males and 27 females.

Survey

1. Circle your Gender: Male  Female          

2. Do you drive? Yes No

3. Have you ever texted while driving? Yes No

 

Chi-Square Test

1. Ho : No association between gender and texting while driving

2. Ha:  Ho is false

3. alpha: 0.05

4. Assumptions: Sample drawn from population is randomly selected, and is independent
        Test is Mutually Exclusive
        All expected cell counts are greater then 5

6. x^2: 0.018
7. P-Value: 0.893
8. We fail to reject the null hypothesis at most levels of significance. We do not have sufficient evidence to say that there is an association between gender and texting while driving