You are being redirected because this document is part of your ASTM Compass® subscription.
    This document is part of your ASTM Compass® subscription.


    Use of Ranking Methods to Assess Environmental Data

    Published: Jan 1978

      Format Pages Price  
    PDF (140K) 10 $25   ADD TO CART
    Complete Source PDF (2.5M) 10 $60   ADD TO CART


    Nonparametric or distribution-free statistics are a method to quantitatively assess environmental data and environmental impact. This statistical methodology is advantageous in many cases because of the computational ease and the fact that few if any assumptions are needed about the sampled populations. This is particularly important in ecological studies, since organisms are distributed typically in a clumped or patchy fashion, and the use of parametric or normal statistics is ill advised, even if data transformations are made.

    Specifically ranking methods are discussed. Tests examined include the rank sum test, signed rank test, one-way analysis of variance, and two-way analysis of variance. It is shown that these statistical techniques are oftentimes the method of choice for evaluating ecological data. Examples of their use to assess ecological data and water chemistry data are given.


    ecology, environments, ranking methods, environmental data, nonparametric statistics, environmental impact, aquatic ecology, data analysis

    Author Information:

    Gertz, SM
    Partner, Porter-Gertz Consultants, Inc., Ardmore, Pa

    Committee/Subcommittee: D19.02

    DOI: 10.1520/STP35657S

    CrossRef ASTM International is a member of CrossRef.