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Distributions of One Variable

  • Thomas Haslwanter
Chapter
  • 16k Downloads
Part of the Statistics and Computing book series (SCO)

Abstract

This chapter shows how to characterize the position and the variability of a distribution, and then uses the normal distribution to describe the most important Python methods common to all distribution functions. Then the most important discrete and continuous distributions are presented, such as the t-distribution, chi-square-distribution, and the F-distribution.

Keywords

Probability Density Function Probability Density Function Cumulative Distribution Function Binomial Distribution Standard Normal Distribution 
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.

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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