Comparing Mean Response When There Are Three or More Treatments

  • Glen McPherson
Part of the Springer Texts in Statistics book series (STS)


From the investigator’s point of view, the primary function of this chapter is to provide methods that extend the comparison of treatment or group means beyond two treatments or groups. The statistical approach must not only accommodate this aim, but must do so in the most effective way possible. This leads to the need for methodology that incorporates the effect of employing experimental designs (which are used to control the level of nontreatment or extraneous variation) . Much of the content of this chapter is devoted to guidelines for correctly selecting and applying methodology for designed experiments. The chapter has the following format:
  • Section 15.2 is devoted to identification and description of designs;

  • Section 15.3 describes the methods of model and data checking;

  • Sections 15.4 and 15.5 document the construction of statistical methods for application with common experimental designs;

  • Section 15.6 describes the analysis and interpretation when there is a factorial arrangement of treatments;

  • Section 15.7 provides the methodology for comparison of treatments in pairs, comparisons in groups, and comparisons based on contrasts; and

  • Section 15.8 discusses the analysis assuming a generalized linear model.


Treatment Difference Unexplained Variation Covariate Term Variance Table Data Check 


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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Glen McPherson
    • 1
  1. 1.School of Mathematics and PhysicsThe University of TasmaniaHobartAustralia

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