Statistical data computed from analyses of present-day sediments may be useful for the recognition of ancient environments. Phi-based measures may be used for the separation of sands. An arithmetic technique is suitable for suites of samples with a considerable range of grain sizes. This paper presents a re-exploration of arithmetic scales and statistical measures which may facilitate environmental recognition. To test this technique, analyses from approximately 800 samples were used. Quar-tile and median values were substituted into Trask's arithmetic measures of quartile deviation QDa and skewness Ska. Values of QDa were plotted against the median M/d mm on double-log paper for four environments. On each graph the plots indicate a linear trend and both the positions and slopes of the individual trend curves are different. There is a decrease of gradient of the curves in the sequence: aeolian-fluviatile-beach- “quiet-water”. Values of QDa against Ska were plotted similarly, the gradients of the curves decreasing in the reverse sequence. Thus each set of curves (QDa vs. Md mm; QDa vs. Ska) establishes a method for comparing and differentiating sediments from these environments.