Final answer:
This question requires the application of statistics to analyze the proportion of fatal crashes involving driver error and to determine the accuracy of the American Automobile Association's claim using hypothesis testing at an alpha level of 0.05.
Step-by-step explanation:
The question refers to the analysis of the proportion of fatal crashes that involve single vehicles or are attributed to driver error. To assess the accuracy of the AAA's claim that driver error causes 54% of all fatal auto accidents, a hypothesis test can be conducted based on the given sample data of 30 fatal accidents where 14 were caused by driver error. The question involves the use of statistical methods like hypothesis testing to evaluate whether there is enough evidence to support or refute the AAA's proportion at the alpha level of 0.05. The prevalence of head injuries among dummy drivers in a crash test, the change over time in the causes of accidental deaths (drug overdoses versus motor vehicle crashes), and whether safety ratings distribution remained the same over different years for cars are all questions that require the application of statistical analysis to answer.