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Author: Siamack Bondari
Publisher:
ISBN:
Category :
Languages : en
Pages : 196
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Book Description
Delve into the fascinating field of Statistics. Explore introductory level Statistics topics through the lens of how those calculations and decisions can be impacted by values, people, beliefs, and information in the world around us. Learn to calculate the mathematically correct solution and then explore whether the "correct" solutions is the "right" decision. Expand your analysis using publisher resources such as Statdisk, or free analysis tools such as programming with R.
Author: Siamack Bondari
Publisher:
ISBN:
Category :
Languages : en
Pages : 196
Get Book Here
Book Description
Delve into the fascinating field of Statistics. Explore introductory level Statistics topics through the lens of how those calculations and decisions can be impacted by values, people, beliefs, and information in the world around us. Learn to calculate the mathematically correct solution and then explore whether the "correct" solutions is the "right" decision. Expand your analysis using publisher resources such as Statdisk, or free analysis tools such as programming with R.
Author: Mario F. Triola
Publisher: Addison-Wesley
ISBN: 9780321570697
Category : Education
Languages : en
Pages : 233
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Book Description
The STATDISK(R) Manual is organized to follow the sequence of topics in the text, and contains an easy-to-follow, step-by-step guide on how to use STATDISK(R) to perform statistical processes.
Author: Mario F. Triola
Publisher: Addison-Wesley
ISBN: 9780321295262
Category : Education
Languages : en
Pages : 203
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Book Description
Author: Joseph Schmuller
Publisher: John Wiley & Sons
ISBN: 1119337267
Category : Computers
Languages : en
Pages : 480
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Book Description
Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as well as step-by-step guidance that shows you exactly how to implement them using R programming. People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. Statistical Analysis with R For Dummies enables you to perform these analyses and to fully understand their implications and results. Gets you up to speed on the #1 analytics/data science software tool Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling Shows you how R offers intel from leading researchers in data science, free of charge Provides information on using R Studio to work with R Get ready to use R to crunch and analyze your data—the fast and easy way!
Author: Jenine K. Harris
Publisher: SAGE Publications
ISBN: 1506388167
Category : Psychology
Languages : en
Pages : 785
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Book Description
Drawing on examples from across the social and behavioral sciences, Statistics With R: Solving Problems Using Real-World Data introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems faced by the "R Team" characters.
Author: John Verzani
Publisher: CRC Press
ISBN: 1315360306
Category : Computers
Languages : en
Pages : 522
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Book Description
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
Author: Chelsea Myers
Publisher: Chapman & Hall/CRC
ISBN: 9780429292002
Category : Mathematics
Languages : en
Pages : 169
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Book Description
Project-Based R Companion to Introductory Statistics is envisioned as a companion to a traditional statistics or biostatistics textbook, with each chapter covering traditional topics such as descriptive statistics, regression, and hypothesis testing. However, unlike a traditional textbook, each chapter will present its material using a complete step-by-step analysis of a real publicly available dataset, with an emphasis on the practical skills of testing assumptions, data exploration, and forming conclusions. The chapters in the main body of the book include a worked example showing the R code used at each step followed by a multi-part project for students to complete. These projects, which could serve as alternatives to traditional discrete homework problems, will illustrate how to "put the pieces together" and conduct a complete start-to-finish data analysis using the R statistical software package. At the end of the book, there are several projects that require the use of multiple statistical techniques that could be used as a take-home final exam or final project for a class. Key features of the text: Organized in chapters focusing on the same topics found in typical introductory statistics textbooks (descriptive statistics, regression, two-way tables, hypothesis testing for means and proportions, etc.) so instructors can easily pair this supplementary material with course plans Includes student projects for each chapter which can be assigned as laboratory exercises or homework assignments to supplement traditional homework Features real-world datasets from scientific publications in the fields of history, pop culture, business, medicine, and forensics for students to analyze Allows students to gain experience working through a variety of statistical analyses from start to finish The book is written at the undergraduate level to be used in an introductory statistical methods course or subject-specific research methods course such as biostatistics or research methods for psychology or business analytics. Author After a 10-year career as a research biostatistician in the Department of Ophthalmology and Visual Sciences at the University of Wisconsin-Madison, Chelsea Myers teaches statistics and biostatistics at Rollins College and Valencia College in Central Florida. She has authored or co-authored more than 30 scientific papers and presentations and is the creator of the MCAT preparation website MCATMath.com.
Author: Peter Dalgaard
Publisher: Springer Science & Business Media
ISBN: 0387790543
Category : Mathematics
Languages : en
Pages : 370
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Book Description
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
Author: Wayne W. Daniel
Publisher: Wiley
ISBN: 1119282373
Category : Medical
Languages : en
Pages : 720
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Book Description
The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.
Author: Martin Sternstein
Publisher: Barrons Educational Series
ISBN: 9780764195440
Category : Study Aids
Languages : en
Pages : 0
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Book Description
One Diagnostic and five full-length Advanced Placement Practice Exams are presented in the manual with all questions answered and explained. Equally valuable to prospective test takers is the author’s 15-chapter topic review, covering virtually everything they will encounter on the actual exam. Topics for review are divided into four general themes: Exploratory Analysis, Planning a Study, Probability, and Statistical Inference. Additional multiple-choice and free-response questions with answers are presented at the end of all 15 chapters. Detailed appendices include exam-taking advice, an AP scoring guide, a guide to basic uses of TI-83/TI-84 calculators, and more. An enclosed CD-ROM containing two additional full-length practice exams gives students a total of eight practice exams. The exams on the CD-ROM come with answers, full explanations, and automatic scoring of the multiple-choice questions. The free-response questions in all exams have been replaced in this new edition in order to bring practice tests completely up to date and accurately reflect the latest AP Statistics exams. Test takers who purchase the combination book-and-CD-ROM package will also get a second CD-ROM containing Texas Instruments’ TI-Nspire calculator trial software.
