Abstract
The aim of contingency table analysis is to study the interrelationships among different variables in the accident causation analysis application of present interest a model that fits the data well and requires certain set of parameters demonstrates the significance to causation of a dependent accident variable (accident severity), of the dominant independent variables (truck type, road type) and their interactions subsumed in the required parameters. It can be concluded that contingency table analysis has been shown to be a powerful procedure for investigating the significant interactions among accident variables