Chapter 8. Statistical Inference in R
This chapter covers the following topics:
- Getting confidence intervals
- Performing Z-tests
- Performing student's T-tests
- Conducting exact binomial tests
- Performing the Kolmogorov-Smirnov tests
- Working with the Pearson's chi-squared tests
- Understanding the Wilcoxon Rank Sum and Signed Rank test
- Performing one-way ANOVA
- Performing two-way ANOVA
Introduction
The most prominent feature of R is that it implements a wide variety of statistical packages. Using these packages, it is easy to obtain descriptive statistics about a dataset or infer the distribution of a population from sample data. Moreover, with R's plotting capabilities, we can easily display data in a variety of charts.
To apply statistical methods in R, the user ...
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