Statistics with R: A Beginner's Guide

Statistics with R: A Beginner's Guide

By: Robert Stinerock (author)Hardback

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The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone hoping to: 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. The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. Each statistical method is developed within the context of practical, real-world examples and is supported by carefully developed pedagogy and jargon-free definitions. Theory is introduced as an accessible and adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions. Author Robert Stinerock has also created a wide range of online resources, including: R scripts, complete solutions for all exercises, data files for each chapter, video and screen casts, and interactive multiple-choice quizzes.

About Author

Robert Stinerock is Professor of Statistics at the Universidade Nova de Lisboa, in Lisbon, Portugal. He has been a university professor for over 30 years, teaching at different universities, most recently the Stevens Institute of Technology in Hoboken, New Jersey, where he was Distinguished Service Professor. In the course of his university career, he has taught well over 100 classes on quantitative methods, particularly statistics. He was awarded the Stevens Alumni Association Teacher Award, 2005; the Howe School Outstanding Undergraduate Teacher Award, 2006; and the Fairleigh Dickinson University Distinguished Faculty Award for Teaching, 1995. He has also published in numerous academic journals. He is a native of New York City, and earned Bachelors, Masters, and Ph.D. degrees, all from Columbia University.


Chapter 1: Introduction and R Instructions Chapter 2: Descriptive Statistics: Tabular and Graphical Methods Chapter 3: Descriptive Statistics: Numerical Methods Chapter 4: Introduction to Probability Chapter 5: Discrete Probability Distributions Chapter 6: Continuous Probability Distributions Chapter 7: Point Estimation and Sampling Distributions Chapter 8: Confidence Interval Estimation Chapter 9: Hypothesis Tests: Introduction, Basic Concepts, and an Example Chapter 10: Hypothesis Tests About u and p: Applications Chapter 11: Comparisons of Means and Proportions Chapter 12: Simple Linear Regression Chapter 13: Multiple Regression

Product Details

  • ISBN13: 9781473924895
  • Format: Hardback
  • Number Of Pages: 392
  • ID: 9781473924895
  • weight: 845
  • ISBN10: 1473924898

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