Statistics using R : an integrative approach / Sharon Lawner Weinberg, Daphna Harel, Sarah Knapp Abramowitz.
"This first edition of Statistics Using R: An Integrative Approach capitalizes on the versatility and power of the R software package to create a course of study that links good statistical and data science practice to the analysis of real data. It also benefits from the many years of the authors' e...
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Language: | English |
Published: |
Cambridge, United Kingdom ; New York, NY :
Cambridge University Press,
2021.
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Physical Description: | xviii, 676 pages : illustrations ; 26 cm |
Format: | Book |
Contents:
- Examining univariate distributions
- Measures of location, spread, and skewness
- Re-expressing variables
- Exploring relationships between two variables
- Simple linear regression
- Probability fundamentals
- Theoretical probability models
- The role of sampling in inferential statistics
- Inferences involving the mean of a single population when [Sigma] is known
- Inferences involving the mean when [Sigma] is not known : one-and two sample designs
- Research design : introduction and overview
- One-way analysis of variance
- Two-way analysis of variance
- Correlation and simple regression as inferential techniques
- An introduction to multiple regression
- Two-way interactions in multiple regression
- Nonparametric methods.