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Young Drivers vs. Non-Occupants: Analyzing Fatal Car Crashes Among Ages 15-20

This study analyzed data on fatal car crashes involving young drivers and non-occupants aged 15-20. Using a two-sample Z-test and T-test, we found statistically significant results at both the 1% and 5% levels, indicating that young drivers are more likely to die in car crashes than non-occupants. The mean for young drivers was 156.8 with a standard deviation of 89.8, while non-occupants had a mean of 32.3 and a standard deviation of 28.5. Our findings emphasize the importance of heightened awareness among teen drivers to enhance safety for themselves and others.

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Young Drivers vs. Non-Occupants: Analyzing Fatal Car Crashes Among Ages 15-20

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  1. AP Stats: Young Drivers and Non-Occupants Amira Abeid Megan Blackwell

  2. For our survey there wasn’t a specific type of SRS used. The data was just collected as it came in. People would collect the data and put them into the appropriate groups and keep track as it all came in. There wouldn’t be any other way to collect our data except for at random because you can’t plan out what teenagers get into accident and which don’t. There may have been some lurking variables in our data such a under the influence or car problems.

  3. Fatal Car Crashes in 2003, Ages 15-20 Hypothesis: H: The data will be the same. Ha: More young drivers will die in car crashes than non-occupants.

  4. Testing the Hypothesis Young Drivers: Mean ()= 156.8 Standard Deviation () = 89.8 Non-Occupants: Mean () = 32.3 Standard Deviation () = 28.5 2-Sample Z Test z= 4.179 p= .00001466 Conclusion:The data is statistically significant at the 1% and 5% levels. The data rejects the null hypothesis. 2- Sample T Test t= 3.96 p= .00115 Conclusion:The data is statistically significant at the 1% and 5% levels. The data rejects the null hypothesis.

  5. Conclusion We came to the conclusion that our hypothesis was right. Teen drivers driving a car died in more accidents than non-occupants not driving anything. Both of our tests rejected the null hypothesis because our data was accurate at the 1% and 5% levels. Drivers should be more observant to everything around them to help keep themselves and other people safe!

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