A probabilistic treatment of the Pareto chart can provide benefits to the fields of quality control, sensitivity analysis, and conceptual design. The probabilistic Pareto chart can inform a decision-maker about the relative significance of distributed factors and highlight anomalies in a dataset. This investigation provides a framework for creating a probabilistic Pareto chart, as well as examples to enable a discussion of the information provided by both the deterministic and probabilistic Pareto charts. The applications presented in this investigation demonstrate the probabilistic Pareto chart’s ability to highlight anomalous trends and to determine the significance of variables in non-linear functions.