Introductory Statistics
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Introductory Statistics
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Author : J. Gosling
language : en
Publisher: Pascal Press
Release Date : 1995
Introductory Statistics written by J. Gosling and has been published by Pascal Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Juvenile Nonfiction categories.
A comprehensive, self-paced, step-by-step statistics course for tertiary students.
Introductory Statistics With R
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Author : Peter Dalgaard
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-27
Introductory Statistics With R written by Peter Dalgaard and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-27 with Mathematics categories.
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.
Introductory Statistics
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Author : Prem S. Mann
language : en
Publisher: John Wiley & Sons
Release Date : 2010-02-02
Introductory Statistics written by Prem S. Mann and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-02 with Mathematics categories.
When it comes to learning statistics, Mann delivers the information that business professionals need. The new edition incorporates the most up-to-date methods and applications to present the latest information in the field. It focuses on explaining how to apply the concepts through case studies and numerous examples. Data integrated throughout the chapters come from a wide range of disciplines and media sources. Over 200 examples are included along with marginal notes and step-by-step solutions. The Decide for Yourself feature also helps business professionals explore real-world problems and solutions.
Introductory Statistics For Management And Economics
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Author : James L. Kenkel
language : en
Publisher: South Western Educational Publishing
Release Date : 1996
Introductory Statistics For Management And Economics written by James L. Kenkel and has been published by South Western Educational Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Business & Economics categories.
Introductory Statistics for Management and Economics is designed specifically for business, economics, and management majors who are enrolled in a two-term statistics course. The new Fourth Edition of this popular text continues to emphasize statistical inference and model building in a real-world context. It contains over 1,500 varying types of problems based on real-world applications, as well as in-depth coverage of regression analysis, and a thorough discussion of how to use the computer to estimate and test models. "Computer Applications" sections have been added to help students understand and interpret statistical output. New to the Fourth Edition: New chapter on statistical quality control covers process control charts, process capability and improvement; Hundreds of new computer exercises and problems, with relevant data provided on a data disk; New "Statistics in Action" segments based on how to apply statistics; and Streamlined coverage of probability and sampling.
Introductory Statistics
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Author : Jay L. Devore
language : en
Publisher: West Publishing Company
Release Date : 1994
Introductory Statistics written by Jay L. Devore and has been published by West Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathematics categories.
This text combines traditional coverage of beginning probability and statistics with emphasis on real applications taken from a wide variety of published sources. Designed for a one-semester course, it emphasizes concepts and an intuitive presentation of core methodology using a wide variety of applications. While not presupposing the use of a statistical computer package, the role of the computer in data analysis is illustrated with examples that show output from Minitab "RM", SPSS "RM", and SAS. It includes: -- Many worked-out examples -- An exercise set at the end of each section -- Supplementary exercises and a summary of key concepts and formulas at the end of each chapter
Introductory Statistics And Analytics
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Author : Peter C. Bruce
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-08
Introductory Statistics And Analytics written by Peter C. Bruce and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-08 with Mathematics categories.
Concise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrap A uniquely developed presentation of key statistical topics, Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics, resampling, and the bootstrap for readers with various levels of exposure to basic probability and statistics. Originally class-tested at one of the first online learning companies in the discipline, www.statistics.com, the book primarily focuses on applications of statistical concepts developed via resampling, with a background discussion of mathematical theory. This feature stresses statistical literacy and understanding, which demonstrates the fundamental basis for statistical inference and demystifies traditional formulas. The book begins with illustrations that have the essential statistical topics interwoven throughout before moving on to demonstrate the proper design of studies. Meeting all of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) requirements for an introductory statistics course, Introductory Statistics and Analytics: A Resampling Perspective also includes: Over 300 “Try It Yourself” exercises and intermittent practice questions, which challenge readers at multiple levels to investigate and explore key statistical concepts Numerous interactive links designed to provide solutions to exercises and further information on crucial concepts Linkages that connect statistics to the rapidly growing field of data science Multiple discussions of various software systems, such as Microsoft Office Excel®, StatCrunch, and R, to develop and analyze data Areas of concern and/or contrasting points-of-view indicated through the use of “Caution” icons Introductory Statistics and Analytics: A Resampling Perspective is an excellent primary textbook for courses in preliminary statistics as well as a supplement for courses in upper-level statistics and related fields, such as biostatistics and econometrics. The book is also a general reference for readers interested in revisiting the value of statistics.
Introductory Statistics For The Health Sciences
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Author : Lise DeShea
language : en
Publisher: CRC Press
Release Date : 2015-03-25
Introductory Statistics For The Health Sciences written by Lise DeShea and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-25 with Mathematics categories.
Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics. Using a color format throughout, the book contains engaging figures that illustrate real data sets from published research. Examples come from many area
Introductory Statistics For Business And Economics
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Author : Thomas H. Wonnacott
language : en
Publisher: New York ; Toronto : Wiley
Release Date : 1984
Introductory Statistics For Business And Economics written by Thomas H. Wonnacott and has been published by New York ; Toronto : Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Mathematics categories.
This Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real-life examples and are relatively self-contained, making adaptable to a variety of courses.
Using R For Introductory Statistics
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Author : John Verzani
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Using R For Introductory Statistics written by John Verzani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Computers categories.
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.
Introductory Statistics
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Author : Thomas H. Wonnacott
language : en
Publisher: John Wiley & Sons
Release Date : 1977
Introductory Statistics written by Thomas H. Wonnacott and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Mathematics categories.
An updated and revised edition of the popular introduction to statistics for students of economics or business, suitable for a one- or two-semester course. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation. This Fifth Edition includes a wealth of new problems and examples (many of them real-life problems drawn from the literature) to support the theoretical discussion. Emphasizes the regression model, including nonlinear and multiple regression. Topics covered include randomization to eliminate bias, exploratory data analysis, graphs, expected value in bidding, the bootstrap, path analysis, robust estimation, maximum likelihood estimation and Bayesian estimation and decisions.