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Statistics with R : A Beginner′s Guide by Robert Stinerock (2018, Trade Paperback)
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About this product
Product Identifiers
PublisherSAGE Publications, The Limited
ISBN-101473924901
ISBN-139781473924901
eBay Product ID (ePID)240044672
Product Key Features
Number of Pages392 Pages
Publication NameStatistics with R : a Beginner′S Guide
LanguageEnglish
SubjectProgramming Languages / General, Probability & Statistics / General, Statistics
Publication Year2018
TypeTextbook
AuthorRobert Stinerock
Subject AreaMathematics, Computers, Social Science
FormatTrade Paperback
Dimensions
Item Height0.8 in
Item Weight24.1 Oz
Item Length9.2 in
Item Width7.5 in
Additional Product Features
Intended AudienceCollege Audience
LCCN2016-951887
Dewey Edition23/eng/20230322
ReviewsThe real added value is in the extensive use of R coding examples to illustrate and apply the principles in each section. For example, after a comprehensive description of simple linear regression modelling and some useful illustrative cases, the reader is provided with the code required to apply the technique to a real data set in R., The ability to code, analyze, and derive insights from vast amounts of data are critical skills in today's world of big data. This well-written book provides an excellent introduction to statistics and R programming language., 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.
IllustratedYes
Dewey Decimal519.50285/5133
Table Of ContentChapter 1: Introduction and R InstructionsChapter 2: Descriptive Statistics: Tabular and Graphical MethodsChapter 3: Descriptive Statistics: Numerical MethodsChapter 4: Introduction to ProbabilityChapter 5: Discrete Probability DistributionsChapter 6: Continuous Probability DistributionsChapter 7: Point Estimation and Sampling DistributionsChapter 8: Confidence Interval EstimationChapter 9: Hypothesis Tests: Introduction, Basic Concepts, and an ExampleChapter 10: Hypothesis Tests About u and p: ApplicationsChapter 11: Comparisons of Means and ProportionsChapter 12: Simple Linear RegressionChapter 13: Multiple Regression
Synopsis***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., This dynamic, student-focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool., ***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.
LC Classification NumberQA276.45.R3
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