Chapter 5. Testing Hypotheses: Choosing a Test Statistic

  1. Phillip I. Good1,
  2. James W. Hardin2

Published Online: 8 AUG 2003

DOI: 10.1002/0471463760.ch5

Book Title

Common Errors in Statistics (and How to Avoid Them)

Common Errors in Statistics (and How to Avoid Them)

Additional Information

How to Cite

Good, P. I. and Hardin, J. W. (2003) Testing Hypotheses: Choosing a Test Statistic, in Common Errors in Statistics (and How to Avoid Them), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471463760.ch5

Author Information

  1. 1

    Huntington Beach, CA, USA

  2. 2

    College Station, TX, USA

Publication History

  1. Published Online: 8 AUG 2003
  2. Published Print: 11 JUL 2003

ISBN Information

Print ISBN: 9780471460688

Online ISBN: 9780471463764

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CHAPTER TOOLS

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Keywords:

  • testing hypotheses;
  • comparing means;
  • comparing variances;
  • higher-order experimental designs;
  • contingency tables;
  • inferior tests;
  • multiple tests

Summary

In this chapter we re-examine the assumptions underlying testing hypotheses. We review the impacts of violations of assumptions, and we detail the procedures to follow when making two-and k-sample comparisons. Finally, we cover the procedures for analyzing contingency tables and two-way experimental designs if standard assumptions are violated.

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