Applied Statistics with R (David Dalpiaz)

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Applied Statistics with R (David Dalpiaz)

The R Statistical Software is used to provide a comprehensive treatment of statistical inference methods in data science in this book. It offers a crucial, simple-to-understand introduction to statistics and the R programming language.

It explores the complex issues that the "R Team" characters encounter in the real world while introducing fundamental statistical ideas and beginner-friendly R programming.

The book gives readers the intellectual underpinnings they need to employ applied statistical techniques in routine research. Each statistical method is created in the context of real-world, applicable examples, and is backed by carefully established pedagogy and explanations that are clear of jargon. The pragmatic setting of actual research initiatives and well-defined research topics is always used to contextualize theory as an approachable and flexible instrument.

  • Complete an introductory course in statistics
  • Prepare for more advanced statistical courses
  • Gain the transferable analytical skills needed to interpret research from across the social sciences
  • Learn the technical skills needed to present data visually
  • Acquire a basic competence in the use of R.

Ebook Details

About the Authors
At the University of Illinois at Urbana-Department Champaign of Statistics, David Dalpiaz serves as a teaching assistant professor.
Published Date / Year
(2021 - Date)
eBook Format
PDF (417 pages)

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