The study used statistical analysis to distinguish different types of carbonate rocks based on their petrographic and geochemical characteristics. They found that certain classification systems, like Embry and Klovan's, could be identified with 100% accuracy, while others, like Dunham's, ranged from 72% to 100%. The researchers suggest that statistical methods could help resolve inconsistencies in how these rocks are classified.