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7. Basic Inference Methods

  • 2024
  • OriginalPaper
  • Chapter
Published in:
Authors
Jim Albert
Maria Rizzo
Published in
R by Example
Publisher
Springer Nature Switzerland

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Abstract

R has an excellent collection of functions to implement the basic methods of statistical inference that are typically covered in a first course in statistics. In this chapter we review implementations of basic testing methods for one and two-samples using R. This material includes one-sample and two-sample tests for proportions and means and a one-sample t-test for paired data. Large sample and small sample methods for estimation of proportions are discussed. Nonparametric methods are discussed including the Wilcoxon Signed Rank test, the two-sample Mann-Whitney-Wilcoxon test and a permutation test for location.

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previous chapter Importing Data
next chapter Regression
Title
Basic Inference Methods
Authors
Jim Albert
Maria Rizzo
Copyright Year
2024
Book
R by Example

Print ISBN: 978-3-031-76073-0

Electronic ISBN: 978-3-031-76074-7

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-76074-7_7
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