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.
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© 2016 Springer International Publishing Switzerland
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Haslwanter, T. (2016). Distributions of One Variable. In: An Introduction to Statistics with Python. Statistics and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-28316-6_6
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DOI: https://doi.org/10.1007/978-3-319-28316-6_6
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-28315-9
Online ISBN: 978-3-319-28316-6
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