Final answer:
The student is dealing with a statistical analysis of fatal crash data involving driver error, teen fatalities, and the relationship between age and driver fatality rate.
Step-by-step explanation:
The student's question involves the analysis of statistical data on drivers involved in fatal crashes, focusing on different conditions such as light and weather, and other variables like the age of the drivers and the causes of the accidents. Part 108 of the question refers to a hypothesis test, where the claim made by the American Automobile Association about the proportion of fatal accidents caused by driver error is examined against a sample of 30 fatal accidents.
Similarly, parts 61 and 63-67 of the question require an understanding of probability distributions and statistical significance to determine the likelihood of teen fatalities from motor vehicle injuries on a given day. Lastly, part 68 asks to justify numerically the likelihood of a specific number of fatal teen injuries occurring in a single day, using the concept of probability.
To tackle these questions, students would need knowledge of statistical methods, such as hypothesis testing, correlation, and regression analysis, as well as an understanding of probability theory and how to apply it to real-world scenarios.