Probability & Statistics with R for Engineers and Scientists, 1st edition

Published by Pearson (July 14, 2021) © 2016

  • Michael Akritas The Pennsylvania State University

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  • More flexible. Start learning right away, on any device.
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  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

Title overview

Probability & Statistics with R for Engineers and Scientists, 1st Edition grew out of the author's notes for a course that he has taught for many years to a diverse group of undergraduates. The early introduction to the major concepts of the course engages students immediately, which helps you see the big picture and sets an appropriate tone. In subsequent chapters, these topics are revisited, developed and formalized, but the early introduction helps you build a true understanding of the concepts. It utilizes the statistical software R, which is both widely used and freely available (thanks to the Free Software Foundation). However, unlike other books on the subject, it emphasizes not only the interpretation of software output but the generation of this output. Applications are diverse and relevant, and come from a variety of fields.

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.

Table of contents

  1. Basic Statistical Concepts
    • 1.1 Why Statistics?
    • 1.2 Populations and Samples
      • 1.2.1 Exercises
    • 1.3 Some Sampling Concepts
      • 1.3.1 Representative Samples
      • 1.3.2 Simple Random Sampling, and Stratied Sampling
      • 1.3.3 Sampling With and Without Replacement
      • 1.3.4 Non-representative Sampling
      • 1.3.5 Exercises
    • 1.4 Random Variables and Statistical Populations
      • 1.4.1 Exercises
    • 1.5 Basic Graphics for Data Visualization
      • 1.5.1 Histograms and Stem and Leaf Plots
      • 1.5.2 Scatterplots
      • 1.5.3 Pie Charts and Bar Graphs
      • 1.5.4 Exercises
    • 1.6 Proportions, Averages and Variances
      • 1.6.1 Population Proportion and Sample Proportion
      • 1.6.2 Population Average and Sample Average
      • 1.6.3 Population Variance and Sample Variance
      • 1.6.4 Exercises
    • 1.7 Medians, Percentiles and Box Plots
      • 1.7.1 Exercises
    • 1.8 Comparative Studies
      • 1.8.1 Basic Concepts and Comparative Graphics
      • 1.8.2 Lurking Variables and Simpson’s Paradox
      • 1.8.3 Causation: Experiments and Observational Studies
      • 1.8.4 Factorial Experiments: Main E

Author bios

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