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4 - Hypothesis testing

Published online by Cambridge University Press:  05 June 2012

Michael R. King  and
Nipa A. Mody
Michael R. King
Affiliation:
Cornell University, New York
Nipa A. Mody
Affiliation:
Cornell University, New York
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Summary

Introduction

Often, a researcher, engineer, or clinician will formulate a statement or a belief about a certain method, treatment, or behavior with respect to one or more populations of people, animals, or objects. For example, a bioengineer might be interested in determining if a new batch of drug-coated stents has a drug coat thickness that is different from a previous batch of stents. The engineer makes several measurements on a small number of stents chosen at random. A substantial deviation in drug coating thickness from the standard range of acceptable values indicates that the process conditions have unexpectedly changed. The stents from the new batch may have either a thicker or a thinner drug coating compared to those of the previous batches, depending on the direction of deviation in coat thickness. Or, it is possible that the drug coat thickness widely fluctuates in the new batches of stents beyond the range specified by design criteria. The engineer formulates a hypothesis based on her preliminary survey. She will need to perform statistical tests to confirm her hypothesis.

Suppose a biomaterials researcher is testing a group of new promising materials that enhance the durability or lifetime of a contact lens. The researcher poses a number of hypotheses regarding the performance qualities of different lens materials. She must use statistical techniques to test her hypotheses and draw appropriate conclusions.

Type
Chapter
Information
Numerical and Statistical Methods for Bioengineering
Applications in MATLAB
 , pp. 209 - 309
Publisher: Cambridge University Press
Print publication year: 2010

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  • Hypothesis testing
  • Michael R. King, Cornell University, New York, Nipa A. Mody, Cornell University, New York
  • Book: Numerical and Statistical Methods for Bioengineering
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511780936.005
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  • Hypothesis testing
  • Michael R. King, Cornell University, New York, Nipa A. Mody, Cornell University, New York
  • Book: Numerical and Statistical Methods for Bioengineering
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511780936.005
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Hypothesis testing
  • Michael R. King, Cornell University, New York, Nipa A. Mody, Cornell University, New York
  • Book: Numerical and Statistical Methods for Bioengineering
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511780936.005
Available formats
×