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2 - Fundamental concepts

Published online by Cambridge University Press:  27 October 2009

James V. Watson
Affiliation:
University of Cambridge
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Summary

Handling and interpreting numbers is not generally a “strong point” for biologists. This applies particularly when there is a large group of numbers that are more easily handled and understood by using some average value as a summary. Indeed, large groups of numbers must be handled by some sort of summary system, because just supplying the raw data – say, 10,000 fluorescence or light-scatter recordings from a flow cytometric analysis run – would be essentially unintelligible. This chapter was included to re-familiarise the reader with some very basic number handling concepts and to set the scene for converting numbers into information.

Central tendency

If we make a number of measurements on a population, say the weights, shapes and various dimensions of 1000 females between the ages of 15 and 25, we will end up with a large series of numbers. I have chosen this particular example not because I'm a male chauvinist pig, but because I was recently talking with a designer of female undergarments who had the task of converting those numbers into articles for sale on the shelves of a large retail outlet. The end points of the survey were to make the articles as appealing as possible (that was the first consideration), in the minimum number of different shapes and sizes as possible, as cheaply as possible, and to sell all of them all the time.

Type
Chapter
Information
Flow Cytometry Data Analysis
Basic Concepts and Statistics
, pp. 4 - 19
Publisher: Cambridge University Press
Print publication year: 1992

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  • Fundamental concepts
  • James V. Watson, University of Cambridge
  • Book: Flow Cytometry Data Analysis
  • Online publication: 27 October 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511600357.002
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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 Dropbox.

  • Fundamental concepts
  • James V. Watson, University of Cambridge
  • Book: Flow Cytometry Data Analysis
  • Online publication: 27 October 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511600357.002
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.

  • Fundamental concepts
  • James V. Watson, University of Cambridge
  • Book: Flow Cytometry Data Analysis
  • Online publication: 27 October 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511600357.002
Available formats
×