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Tests of Means of Numerical Data

  • Thomas Haslwanter
Chapter
Part of the Statistics and Computing book series (SCO)

Abstract

This chapter covers hypothesis tests for the mean values of groups, and shows how to implement each of these tests in Python:
  • Comparison of one group with a fixed value.

  • Comparison of two groups with respect to each other.

  • Comparison of three or more groups with each other.

For each case, Python implementations of parametric tests are presented (which can be used for normally distributed data), as well as implementations of nonparametric tests.

Keywords

Mean Square Studentized Range Tukey Honest Significant Difference Test Test Multiple Testing Problem 
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.

References

  1. Altman, D. G. (1999). Practical statistics for medical research. New York: Chapman & Hall/CRC.Google Scholar
  2. Amess, J. A., Burman, J. F., Rees, G. M., Nancekievill, D. G., & Mollin, D. L. (1978). Megaloblastic haemopoiesis in patients receiving nitrous oxide. Lancet, 2(8085):339–342.CrossRefGoogle Scholar
  3. Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6:65–70.MathSciNetzbMATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Thomas Haslwanter
    • 1
  1. 1.School of Applied Health and Social SciencesUniversity of Applied Sciences Upper AustriaLinzAustria

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