Chapter 2. Hypotheses: The Why of Your Research

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

Published Online: 8 AUG 2003

DOI: 10.1002/0471463760.ch2

Common Errors in Statistics (and How to Avoid Them)

Common Errors in Statistics (and How to Avoid Them)

How to Cite

Good, P. I. and Hardin, J. W. (2003) Hypotheses: The Why of Your Research, in Common Errors in Statistics (and How to Avoid Them), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471463760.ch2

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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Keywords:

  • research;
  • prescription;
  • null hypothesis;
  • Neyman–Pearson theory;
  • deduction;
  • induction;
  • losses;
  • decisions

Summary

In this chapter we review how to formulate a hypothesis that is testable by statistical means, the appropriate use of the null hypothesis, Neyman–Pearson theory, the two types of error, and the more general theory of decisions and losses.