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

  • Michael Akritas

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Probability & Statistics with R for Engineers and Scientists (Classic Version) provides an early introduction to major concepts that you’ll use to build a true understanding of the concepts. The text uses statistical software R which is widely used and freely available from the Free Software Foundation.

Published by Pearson (July 14th 2021) - Copyright © 2016

ISBN-13: 9780137548552

Subject: Advanced Statistics

Category: Probability & Statistics

Table of contents

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

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