Statistical Concepts And Methods

Statistical Concepts and Methods PDF
Author: Dewey E. Johnson
Publisher: John Wiley & Sons Incorporated
Category : Mathematics
Languages : en
Pages : 639
View: 3021

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Book Description:
This non-mathematical introductory statistics text combines clear explanation of concepts, extensive coverage of useful statistical techniques, and numerous illustrations with data from diverse fields. Throughout, the text emphasizes the assumptions and limitations of statistical methods so that gross abuses can be avoided. It strives to promote correct attitudes and thinking about statistics and its applications. This text should prove an excellent introduction and valuable reference to statistics for students and concerned lay persons.


Understandable Statistics Concepts And Methods Enhanced

Understandable Statistics  Concepts and Methods  Enhanced PDF
Author: Charles Henry Brase
Publisher: Cengage Learning
Category : Mathematics
Languages : en
Pages : 864
View: 2611

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Book Description:
UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Eleventh Edition, is a thorough yet accessible program designed to help you overcome any apprehensions you may have about statistics. The authors provide clear guidance and informal advice while showing you the links between statistics and the world. To reinforce this approach--and make the material interesting as well as easier to understand--the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet. You'll also have opportunities to develop your critical-thinking and statistical literacy skills through special features and exercises throughout the text. Interactive online resources offer you extra study assistance and tutorial support--including step-by-step video solutions--outside of class. The use of graphing calculators, Excel, MINITAB, and SPSS is covered although not required. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.


Statistics On The Table

Statistics on the Table PDF
Author: Stephen M. Stigler
Publisher: Harvard University Press
Category : Mathematics
Languages : en
Pages : 488
View: 2959

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Book Description:
This lively collection of essays examines statistical ideas with an ironic eye for their essence and what their history can tell us for current disputes. The topics range from 17th-century medicine and the circulation of blood, to the cause of the Great Depression, to the determinations of the shape of the Earth and the speed of light.


Understandable Statistics Concepts And Methods

Understandable Statistics  Concepts and Methods PDF
Author: Charles Henry Brase
Publisher: Cengage Learning
Category : Mathematics
Languages : en
Pages : 822
View: 1270

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Book Description:
UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Tenth Edition, is a thorough, yet accessible program designed to help students overcome their apprehensions about statistics. The authors provide clear guidance and informal advice while showing students the links between statistics and the world. To reinforce this approach, the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet. The Tenth Edition continues to address the importance of developing students' critical thinking and statistical literacy skills through special features and exercises throughout the text. The use of graphing calculators, Excel, MINITAB, and SPSS is covered though not required. Extensive technology resources include an algorithmic test bank and lecture slides, along with interactive online resources and a market-leading DVD series designed to provide reinforcement for students and support for instructors. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.


Investigating Statistical Concepts Applications And Methods

Investigating Statistical Concepts  Applications  and Methods PDF
Author: Beth L. Chance
Publisher: Cengage Learning
Category : Mathematics
Languages : en
Pages : 607
View: 1685

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Book Description:
INVESTIGATING STATISTICAL CONCEPTS, APPLICATIONS, AND METHODS (WITH CD-ROM) combines investigation and exposition to explore statistical ideas and techniques. Many of the investigations ask you to use technology such as statistical software and Java applets. A combination of practice, homework, and application problems emphasize actual studies.


Statistical Methods

Statistical Methods PDF
Author: Cheryl Ann Willard
Publisher: Routledge
Category : Psychology
Languages : en
Pages : 350
View: 4807

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Book Description:
Statistical Methods: An Introduction to Basic Statistical Concepts and Analysis, Second Edition is a textbook designed for students with no prior training in statistics. It provides a solid background of the core statistical concepts taught in most introductory statistics textbooks. Mathematical proofs are deemphasized in favor of careful explanations of statistical constructs. The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics. Transitional chapters on z-scores, probability, and sampling distributions pave the way to understanding the logic of hypothesis testing and the inferential tests that follow. Hypothesis testing is taught through a four-step process. These same four steps are used throughout the text for the other statistical tests presented including t tests, one- and two-way ANOVAs, chi-square, and correlation. A chapter on nonparametric tests is also provided as an alternative when the requirements cannot be met for parametric tests. Because the same logical framework and sequential steps are used throughout the text, a consistency is provided that allows students to gradually master the concepts. Their learning is enhanced further with the inclusion of "thought questions" and practice problems integrated throughout the chapters. New to the second edition: Chapters on factorial analysis of variance and non-parametric techniques for all data Additional and updated chapter exercises for students to test and demonstrate their learning Full instructor resources: test bank questions, Powerpoint slides, and an Instructor Manual


Statistics

Statistics PDF
Author: Richard A. Johnson
Publisher: John Wiley & Sons
Category : Mathematics
Languages : en
Pages : 576
View: 4991

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Book Description:
Statistics: Principles and Methods, 8th Edition provides students and business professionals with a comprehensive introduction to statistics concepts, terminology, and methods with a wide array of practical applications. Real-world data provides an easily relatable frame of reference, while numerous examples reinforce key ideas and demonstrate critical concepts to help ease student comprehension. Designed for those seeking a highly practical introduction to statistical measurement, reasoning, and analysis, this book requires no specific mathematical background and leaves derivations behind in favor of logic, reasoning, and modern statistics software. Concepts are introduced first in a real-life setting to illustrate immediate relevancy, and are subsequently expanded to relate underlying mechanisms, limitations, and further applications. An emphasis on the relationship between validity and assumptions underscores the importance of critical thinking and the use of appropriate models while instilling thoughtful habits that lead to accuracy in interpretation. Going beyond the typical introductory text to keep the focus on application, this book gives students a deeper understanding of statistics as it is used every day across disciplines and industries.


Statistical Decision Theory

Statistical Decision Theory PDF
Author: James Berger
Publisher: Springer Science & Business Media
Category : Mathematics
Languages : en
Pages : 428
View: 7127

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Book Description:
Decision theory is generally taught in one of two very different ways. When of opti taught by theoretical statisticians, it tends to be presented as a set of mathematical techniques mality principles, together with a collection of various statistical procedures. When useful in establishing the optimality taught by applied decision theorists, it is usually a course in Bayesian analysis, showing how this one decision principle can be applied in various practical situations. The original goal I had in writing this book was to find some middle ground. I wanted a book which discussed the more theoretical ideas and techniques of decision theory, but in a manner that was constantly oriented towards solving statistical problems. In particular, it seemed crucial to include a discussion of when and why the various decision prin ciples should be used, and indeed why decision theory is needed at all. This original goal seemed indicated by my philosophical position at the time, which can best be described as basically neutral. I felt that no one approach to decision theory (or statistics) was clearly superior to the others, and so planned a rather low key and impartial presentation of the competing ideas. In the course of writing the book, however, I turned into a rabid Bayesian. There was no single cause for this conversion; just a gradual realization that things seemed to ultimately make sense only when looked at from the Bayesian viewpoint.


Handbook Of Computational Statistics

Handbook of Computational Statistics PDF
Author: James E. Gentle
Publisher: Springer Science & Business Media
Category : Computers
Languages : en
Pages : 1192
View: 5889

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Book Description:
The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.