Graphical representation of statistical information in situations of judgment and decision-making

Motivation - To address both the theoretical and practical issues related to graphical representation of probabilities in the attempt to create 'corrective' representations that can counter-effect documented biases in judgment and decision-making. Research approach - 64 students were asked to answer questions dealing with statistical information that was presented either numerically or graphically, replicating two well-knows experiments in the field of judgement and decision-making. Findings/Design - The results of the pilot study suggest that graphical representation may help to counter the effect of documented biases. Research limitations/Implications - The pilot study has only marginal significance due to the relatively small sample size. Originality/Value - The research aims to suggest optimal graphical representations to help people in their decision-making process. Take away message - Graphical representations may be an untapped resource that can be used along with or instead of numerical representations in decision-making.