Final answer:
The question seeks a statistic about new driver incidents, but without specific data, an exact number cannot be provided. We can use statistical hypothesis testing to evaluate whether observed data on new driver incidents significantly differ from a known statistic.
Step-by-step explanation:
The question you're asking seems to be looking for a specific statistic related to new drivers and their likelihood of being involved in a collision or receiving a traffic conviction within their first year of driving. Unfortunately, the question does not provide a specific percentage or proportion, so we cannot determine the exact risk for new drivers without additional information.
However, we can approach this through a statistical analysis, similar to how we can analyze the proportion of fatal accidents caused by driver error. For example, suppose we collected data on new drivers over a certain period and found that 20 out of 100 new drivers were involved in an accident or received a traffic offense within the first year. We could then say that 20% of new drivers had such incidents.
But to determine if this rate is statistically significant or in line with a known standard proportion, we would use hypothesis testing (at a certain significance level, such as α = 0.05). In your example regarding the AAA statistic for driver error being the cause of 54% of all fatal auto accidents, one could use a hypothesis test to see if the observed proportion in a sample (14 out of 30 accidents due to driver error, or 46.67%) significantly differs from the AAA's stated proportion.
Without doing the actual calculations, we cannot determine the accuracy of the AAA's proportion, but the methodology would be similar in assessing the risk for new drivers, if the relevant data were available.