The deeper reason for focusing our discussion on measures of center is that we believe such measures do have a special status, particularly for comparing two sets of data. Here, some proponents of teaching EDA may well disagree with us. Biehler (1994), for example, maintained that the distribution should remain the primary focus of analysis and that we should regard an average, such as the mean, as just one of many of its properties. We will argue that the central idea should be that of searching for a signal and that the idea of distribution comes into better focus when it is viewed as the “distribution around” a signal. Furthermore, we claim that the