When the Distribution Is Known

  • Phillip I. Good

Abstract

One of the strengths of the hypothesis-testing procedures described in the preceding chapter is that you need to know very little about the underlying population(s) to apply them. But suppose you have full knowledge of the processes that led to the observations in your sample(s), should you still use the same statistical tests? The answer is no, not always, particularly with very small or very large amounts of data. In this chapter, we consider several parameter-based distributions including the binomial (which you were introduced to in Chapter 2), the Poisson, and the normal or Gaussian, along with several other parametric distributions derived from them that are of value in testing location and dispersion.

Keywords

Poisson Distribution Binomial Distribution Independent Observation Independent Trial Orange County 
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 2001

Authors and Affiliations

  • Phillip I. Good
    • 1
  1. 1.Huntington BeachUSA

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