Statistical techniques for the design and analysis of swine nutrition experiments

Debra K. Aaron, Virgil W. Hays

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

10 Scopus citations

Abstract

Statistical techniques should be considered as research tools that can produce meaningful, reliable, and unbiased results when properly applied to situations for which they are designed. However, no statistical technique can protect against poor planning, inaccuracies in the data, unsound analysis, or incorrect interpretation. High-quality research requires proper planning and careful execution of experiments, correct application of statistical techniques, and, finally, interpretation of results by one who understands not only the statistical techniques, but also the field to which they are applied.

Original languageEnglish
Title of host publicationSwine Nutrition, Second Edition
Pages881-902
Number of pages22
ISBN (Electronic)9781420041842
DOIs
StatePublished - Jan 1 2000

Bibliographical note

Publisher Copyright:
© 2001 by Taylor & Francis Group, LLC.

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (all)
  • Veterinary (all)
  • Medicine (all)

Fingerprint

Dive into the research topics of 'Statistical techniques for the design and analysis of swine nutrition experiments'. Together they form a unique fingerprint.

Cite this