Skip to main content

Part of the book series: Springer Texts in Statistics ((STS))

  • 649 Accesses

Abstract

The use of inferential Statistics to answer experimenter’s questions requires the comparison of a statistical model with data from an experiment. The purpose of this chapter is to introduce the important statistical approaches to this task. However, an appreciation of the statistical bases is more easily gained if thought is first given to the way in which the problem might be approached without the benefit of Statistics.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer Science+Business Media New York

About this chapter

Cite this chapter

McPherson, G. (1990). Comparing Model and Data. In: Statistics in Scientific Investigation. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4290-9_4

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-4290-9_4

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4757-4292-3

  • Online ISBN: 978-1-4757-4290-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics