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Author : Herschel Knapp
ISBN : 9781506358697
Genre : Social Science
File Size : 77.57 MB
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The updated Second Edition of Herschel Knapp’s friendly and practical introduction to statistics shows students how to properly select, process, and interpret statistics without heavy emphasis on theory, formula derivations, or abstract mathematical concepts. Each chapter is structured to answer questions that students most want answered: What statistical test should I use for this situation? How do I set up the data? How do I run the test? How do I interpret and document the results? Online tutorial videos, examples, screenshots, and intuitive illustrations help students "get the story" from their data as they learn by doing, completing practice exercises at the end of each chapter using prepared downloadable data sets.

Author : Thomas H. Wonnacott
ISBN : 0471020826
Genre : Commercial statistics
File Size : 20.60 MB
Format : PDF
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Descriptive statistics; Probability; Probability distributions; Two random variables; Sampling; Point estimation; Interval estimation; Hypothesis testing; Analysis of variance; Fitting a line; Regression theory; Multiple regression; Correlation; Nonlinear regression; Nonparametric statistics; Chi-square tests; Maximum likelihood; Bayesian decision theory; Time series analysis; Simultaneous equations; Index numbers; Sampling designs; Game theory.

Author : John Verzani
ISBN : 9781315360300
Genre : Mathematics
File Size : 58.9 MB
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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 : Robert Gould
ISBN : 0321322150
Genre : Mathematics
File Size : 23.30 MB
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We live in a data-driven world, and this is a book about understanding and working with that data. In order to be informed citizens, authors Rob Gould and Colleen Ryan believe that learning statistics extends beyond the classroom to an essential life skill. They teach students of all math backgrounds how to think about data, how to reason using data, and how to make decisions based on data. With a clear, unintimidating writing style and carefully chosen pedagogy, Introductory Statistics: Exploring the World through Data makes data analysis accessible to all students. Guided Exercises support students by building their confidence as they learn to solve problems. Snapshots summarize statistical procedures and concepts for convenient studying. While this text assumes the use of statistical software, formulas are presented as an aid to understanding the concepts rather than the focus of study. Check Your Tech features demonstrate how students will get the same numerical value by-hand as when using statistical software.

Author : Peter Dalgaard
ISBN : 0387790535
Genre : Mathematics
File Size : 43.66 MB
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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 : Roberta Garner
ISBN : 9781442601888
Genre : Mathematics
File Size : 78.18 MB
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"This is a great book for social science students. Clearly written, with many examples, Garner certainly makes learning and teaching introductory statistics a joy!" - Nikolaos Liodakis, Wilfrid Laurier University

Author : Vijay K. Rohatgi
ISBN : 8126519266
Genre :
File Size : 69.90 MB
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Market_Desc: This book is intended for Upper Seniors and Beginning Graduate Students in Mathematics, as well as Students in Physics and Engineering with strong mathematical backgrounds. It was designed for a three-quarter course meeting four hours per week or a two-semester course meeting three hours per week. Special Features: · An excellent introduction to the field of statistics organized in three parts: probability, foundations of statistical inference, and special topics. The Second Edition boasts a completely updated statistical inference section as well as many new problems, examples, and figures. It omits the introduction section and the chapter on sequential statistical inference. Includes over 350 worked examples.· Offers the proof of the central limit theorem by the method of operators and proof of the strong law of large numbers.· Contains a section on minimal sufficient statistics.· Carefully presents the theory of confidence intervals, including Bayesian intervals and shortest-length confidence intervals. About The Book: The second edition now has an updated statistical inference section (chapters 8 to 13). Many revisions have been made, the references have been updated, and many new problems and worked examples have been added.

Author : Lu Ying
ISBN : 9789814583329
Genre : Medical
File Size : 37.55 MB
Format : PDF
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The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.

Author : Robert Donnelly
ISBN : 9781101082898
Genre : Mathematics
File Size : 43.20 MB
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Not a numbers person? No problem! This new edition is aimed at high school and college students who need to take statistics to fulfill a degree requirement and follows a standard statistics curriculum. Readerswill find information on frequency distributions; mean, median, and mode; range, variance, and standard deviation;probability; and more. -Emphasizes Microsoft Excel for number-crunching and computations Download a sample chapter.