Final answer:
The question involves applying statistical methods, such as hypothesis testing and proportion tests, to analyze traffic accident data and evaluating claims regarding causes and rates of incidents.
Step-by-step explanation:
The question refers to a statistical analysis of traffic accidents implying the use of probability and proportion tests to assess hypotheses about driving behavior and its consequences. Specifically, the question regarding the American Automobile Association's assertion that driver error causes approximately 54% of all fatal auto accidents is a hypothesis test problem. Using a significance level a = 0.05, one would perform a proportion test comparing the sample proportion (14 accidents due to driver error out of 30 examined) to the claimed proportion (54%) to determine if the difference is statistically significant.
The question about whether more than 20 teens are killed from motor vehicle injuries on any given day in the United States would require a numerical justification possibly involving mortality rates and statistical averages derived from official data sources.