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Reasoning with Data

- An Introduction to Traditional and Bayesian Statistics Using R

Om Reasoning with Data

Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples.

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  • Språk:
  • Engelska
  • ISBN:
  • 9781462530267
  • Format:
  • Häftad
  • Sidor:
  • 325
  • Utgiven:
  • 16. juni 2017
  • Mått:
  • 255x179x21 mm.
  • Vikt:
  • 586 g.
  Fri leverans
Leveranstid: Okänt - saknas för närvarande
Förlängd ångerrätt till 31. januari 2025

Beskrivning av Reasoning with Data

Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples.

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