In many areas of research and development the final product is assessed by means of a panel response. This response will only be meaningful when it is supported by a strong consensus within the panel. At present there does not appear to be a simple standard definition of consensus measure. This paper suggests a definition based on the interquartile range of the panel response and structured in such a way as to permit the resulting measure to be subjected to the conventional statistical procedures of estimation and hypothesis testing by utilizing Snedecor's F distribution.