Trucks are used in many configurations. Three common configurations are tractors with 1, 2, and 3 trailers. Accident statistics for these configurations in 2002 are listed below.

Fatal U.S. Truck Accidents in 2002 by Configuration

\(\begin{array}{|c|c|} \hline \text{Truck Configuration} & \text{Number of Registered Vehicles}&\text{Number of Accidents} \\ \hline \text{Tractor, 1 trailer}&150,000&2,889\\ \hline \text{Tractor, 2 trailers}&5,100&154\\ \hline \text{Tractor, 3 trailers}&200&1\\ \hline \end{array}\)

Assume these statistics represent simple random samples for each configuration. Which of the following would be the most, appropriate test to use to determine whether the populations for each configuration have the same rate of fatal accidents?

A) One-sample proportion z-test.

B) Two-sample proportion z-test

C) Chi-square test for independence

D) Chi-square goodness-of-fit test

E) Chi-square test for homogeneity of proportions