Statistics with R
A Beginner's Guide
(Sprache: Englisch)
This dynamic, student-focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool.
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Produktinformationen zu „Statistics with R “
This dynamic, student-focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool.
Klappentext zu „Statistics with R “
***Choice Outstanding Academic Title Award Winner***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.
Inhaltsverzeichnis zu „Statistics with R “
Chapter 1: Introduction and R InstructionsChapter 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
Autoren-Porträt von Robert Stinerock
Robert Stinerock has more than 35 years of experience teaching statistics and probability to students at both the undergraduate and graduate level. He currently teaches statistics at two different universities: the Executive MBA Program at Baruch College of The City University of New York and the Quantitative Finance Program at the Stevens Institute of Technology in Hoboken, New Jersey.He has received several awards for excellence in the classroom: the Stevens Howe School Outstanding Undergraduate Teacher Award; the Stevens Alumni Association Outstanding Teacher Award; and the Fairleigh Dickinson Distinguished Faculty Award for Teaching.
He has published numerous research articles in academic journals, most recently in the Journal of Macromarketing, the Journal of Business Research, and Geoforum.
The first edition of Statistics with R was the Choice Outstanding Academic Title Award Winner.
He earned his Bachelor's, Master's, and Ph.D. degrees, all from Columbia University.
He and his wife, Jyoti, live in New York City.
Bibliographische Angaben
- Autor: Robert Stinerock
- 2018, 392 Seiten, Masse: 19,1 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Sage Publications Ltd.
- ISBN-10: 1473924901
- ISBN-13: 9781473924901
- Erscheinungsdatum: 08.01.2018
Sprache:
Englisch
Pressezitat
Robert Stinerock provides a much-needed, easy-to-follow introduction to statistics and the R programming language. Any reader wishing to master and implement the statistical methods needed to derive meaning from data in today s challenging information-rich environment will benefit from this insightful, exciting, and profoundly useful text.Morris B. Holbrook 20161003
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