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Categorical Data

  • Phillip Good
Part of the Springer Series in Statistics book series (SSS)

Abstract

In many experiments and in almost all surveys, many if not all the results fall into categories rather than being measurable on a continuous or ordinal scale: e.g., male vs. female, black vs. Hispanic vs. oriental vs. white, in favor vs. against vs. undecided. The corresponding hypotheses concern proportions: “Blacks are as likely to be Democrats as they are to be Republicans.” Or, “the dominant genotype ‘spotted shell’ occurs with three times the frequency of the recessive.” In this chapter, you learn to test hypotheses like these that concern categorical and ordinal data.

Keywords

Birth Weight Contingency Table High Birth Weight Original Table Binomial Proportion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2000

Authors and Affiliations

  • Phillip Good
    • 1
  1. 1.Huntington BeachUSA

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