Statistics using R [electronic resource] : an integrative approach / Sharon Lawner Weinberg, Daphna Harel, Sarah Knapp Abramowitz.

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"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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Bibliographic Details
Main Authors: Weinberg, Sharon L. (Author)
Harel, Daphna, 1988- (Author)
Abramowitz, Sarah Knapp, 1967- (Author)
Language:English
Published: Cambridge ; New York, NY : Cambridge University Press, 2021.
Subjects:
R (Computer program language)
Mathematical statistics > Data processing.
Statistics > Data processing.
Online Access:
Cambridge HE website textbooks complete collection: 2020 (Digital Object Identifier Permalink)
Variant Title:
Statistics Using R: An Integrative Approach
Format: Electronic eBook
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.