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Real Data

Real Data Author Zealure C Holcomb
ISBN-10 9781351867290
Release 2016-09-01
Pages 138
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• In Real Data, students predict the answers to interesting questions. Then they analyze data supplied by leading researchers to see if there is empirical support for their predictions. • Students get practice in computing all the major statistics usually covered in an introductory statistics course. • Because each of the 35 exercises in Part A deals with only a limited number of statistics, the workbook is easily coordinated with all introductory statistics textbooks. • Part A emphasizes small data sets that are useful whether students are using calculators or computers. The exercises in this part are highly structured so students know exactly what is required of them. • Part B provides larger data sets for comprehensive analysis by computer users. Loosely structured, the data sets allow you to specify which statistics should be computed. • Sample topics: Kissing and Sexual Harassment; Basic Trust of Rape Survivors; Gambling and Stealing; Pregnancy Risk Among Adolescents Who Had Been Sexually Abused; Boys Interacting with Their Fathers; Racial Differences in Seeking Medical Assistance; Instructors’ Clothing and Student Evaluations; Students’ Attitudes Toward Math; and Physician-Assisted Suicide. • Using real data for analysis makes the traditional statistics class come alive.



How to Use SPSS

How to Use SPSS  Author Brian C Cronk
ISBN-10 9781351969208
Release 2016-08-17
Pages 176
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• Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data. • All major statistical techniques covered in beginning statistics classes are included: · descriptive statistics · graphing data · prediction and association · parametric inferential statistics · nonparametric inferential statistics · statistics for test construction • Each section starts with a brief description of the statistic that is covered and important underlying assumptions, which help students select appropriate statistics. • Each section describes how to interpret results and express them in a research report after the data are analyzed. For example, students are shown how to phrase the results of a significant and an insignificant t test. • More than 200 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. • A glossary of statistical terms is included, which makes a handy reference for students who need to review the meanings of basic statistical terms. • Practice exercises throughout the book give students stimulus material to use as they practice to achieve mastery of the program. • Thoroughly field-tested; your students are certain to appreciate this book.



Advertising and Public Relations Research

Advertising and Public Relations Research Author Donald W. Jugenheimer
ISBN-10 9781317507369
Release 2015-04-16
Pages 384
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Designed to serve as a comprehensive, primary text for research methods courses in advertising and/or public relations programs, this book concentrates on the uses and applications of research in advertising and public relations situations. The authors' goal is to provide the information needed by future practitioners to commission and apply research to their work problems in advertising and public relations.



Interpreting Basic Statistics

Interpreting Basic Statistics Author Zealure C. Holcomb
ISBN-10 9781351847506
Release 2017-08-09
Pages 234
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Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals. New to the eighth edition:? A broader array of basic statistical concepts is covered, especially to better reflect the New Statistics.? Journal excerpts have been updated to reflect current styles in statistical reporting. A stronger emphasis on data visualizations has been added. The statistical exercises have been re-organized into units to facilitate ease of use and understanding. About this book Each of the 64 exercises gives a brief excerpt of statistical reporting from a published research article, and begins with guidelines for interpreting the statistics in the excerpt. The questions on the excerpts promote learning by requiring students to interpret information in tables and figures, perform simple calculations to further their interpretations, critique data-reporting techniques, and evaluate procedures used to collect data. Each exercise covers a limited number of statistics, making it easy to coordinate the exercises with lectures and a main textbook. The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The factual questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations.



Forthcoming Books

Forthcoming Books Author Rose Arny
ISBN-10 UOM:39015046820406
Release 2001-08
Pages
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Forthcoming Books has been writing in one form or another for most of life. You can find so many inspiration from Forthcoming Books also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Forthcoming Books book for free.



Basic Statistical Analysis

Basic Statistical Analysis Author Richard C. Sprinthall
ISBN-10 1292026820
Release 2013-11-01
Pages 656
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The material in this user-friendly text is presented as simply as possible to ensure that students will gain a solid understanding of statistical procedures and analysis. The goal of this book is to demystify and present statistics in a clear, cohesive manner. The student is presented with rules of evidence and the logic behind those rules. The book is divided into three major units: Descriptive Statistics, Inferential Statistics, and Advanced Topics in Inferential Statistics. Every effort has been made to keep the writing as clear as possible and always aimed at the student's life space. Computational procedures are laid out in a step-by-step, programmed format. This is a straightforward presentation of the essentials of statistical analysis emphasizing the constant interaction between statistical techniques and the resarch methodology.



Fundamentals of Descriptive Statistics

Fundamentals of Descriptive Statistics Author Zealure C Holcomb
ISBN-10 9781351970327
Release 2016-09-15
Pages 98
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• Do your students need to organize and summarize data for term projects? Will they need to perform these tasks on the job? This book gives them thorough preparation. • In twelve short chapters, your students will learn the purposes of descriptive statistics, their calculation, and proper interpretation. • Actual data on the emotional health of foster-care adolescents are used throughout the book to illustrate various ways of deriving meaning from the data with descriptive statistics. Other interesting examples are also included. • Computational procedures are illustrated with step-by-step, easy-to-follow examples. • End-of-chapter exercises provide ample practice for students to master both computations and statistical concepts. • Eliminates the need for students to buy a traditional statistics book that emphasizes inferential statistics. • Thoroughly field-tested for student comprehension. • The answer key makes it easy for you to start using this book right away. • This book will please you and your students with its clarity of presentation. • Outstanding supplement for students who need to describe term project data.



Books in Print 2009 2010

Books in Print 2009 2010 Author
ISBN-10 0835250210
Release 2009
Pages
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Books in Print 2009 2010 has been writing in one form or another for most of life. You can find so many inspiration from Books in Print 2009 2010 also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Books in Print 2009 2010 book for free.



The R Book

The R Book Author Michael J. Crawley
ISBN-10 9781118448960
Release 2012-11-07
Pages 1080
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Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: ‘…if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.’ (The American Statistician, August 2008) ‘The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book…’ (Professional Pensions, July 2007)



Statistics and Probability in High School

Statistics and Probability in High School Author Carmen Batanero
ISBN-10 9789463006248
Release 2016-07-27
Pages 224
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Statistics and probability are fascinating fields, tightly interwoven with the context of the problems which have to be modelled. The authors demonstrate how investigations and experiments provide promising teaching strategies to help high-school students acquire statistical and probabilistic literacy. In the first chapter the authors put into practice the following educational principles, reflecting their views of how these subjects should be taught: a focus on the most relevant ideas and postpone extensions to later stages; illustrating the complementary/dual nature of statistical and probabilistic reasoning; utilising the potential of technology and show its limits; and reflecting on the different levels of formalisation to meet the wide variety of students’ previous knowledge, abilities, and learning types. The remaining chapters deal with exploratory data analysis, modelling information by probabilities, exploring and modelling association, and with sampling and inference. Throughout the book, a modelling view of the concepts guides the presentation. In each chapter, the development of a cluster of fundamental ideas is centred around a statistical study or a real-world problem that leads to statistical questions requiring data in order to be answered. The concepts developed are designed to lead to meaningful solutions rather than remain abstract entities. For each cluster of ideas, the authors review the relevant research on misconceptions and synthesise the results of research in order to support teaching of statistics and probability in high school. What makes this book unique is its rich source of worked-through tasks and its focus on the interrelations between teaching and empirical research on understanding statistics and probability.



Human Computer Interaction

Human Computer Interaction Author I. Scott MacKenzie
ISBN-10 9780124071650
Release 2012-12-31
Pages 370
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Human-Computer Interaction: An Empirical Research Perspective is the definitive guide to empirical research in HCI. The book begins with foundational topics including historical context, the human factor, interaction elements, and the fundamentals of science and research. From there, you'll progress to learning about the methods for conducting an experiment to evaluate a new computer interface or interaction technique. There are detailed discussions and how-to analyses on models of interaction, focusing on descriptive models and predictive models. Writing and publishing a research paper is explored with helpful tips for success. Throughout the book, you'll find hands-on exercises, checklists, and real-world examples. This is your must-have, comprehensive guide to empirical and experimental research in HCI—an essential addition to your HCI library. Master empirical and experimental research with this comprehensive, A-to-Z guide in a concise, hands-on reference Discover the practical and theoretical ins-and-outs of user studies Find exercises, takeaway points, and case studies throughout



Activity Based Statistics

Activity Based Statistics Author Richard L. Scheaffer
ISBN-10 9781475738438
Release 2013-06-29
Pages 252
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This book presents a collection of hands-on activities for students taking introductory statistics, and is designed to engage the student as a participant in the learning process. Intended as a lab manual and organized around the major topics covered in most introductory courses, this book contains more activities than can possibly be covered in one course, allowing flexibility for individual course requirements. Packaged in an inexpensive paperback format, the pages are perforated and 3-hole punched for easy removal of individual activities. The 50+ experiments, models, and simulations included in this book are explained succinctly, giving students a clear description of the activities without extra reading. Many activities are compatible with technology.



Understandable Statistics Concepts and Methods

Understandable Statistics  Concepts and Methods Author Charles Henry Brase
ISBN-10 9781337119917
Release 2016-12-05
Pages 839
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UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Twelfth Edition, is a thorough yet accessible program designed to help you overcome any apprehensions you may have about statistics and to master the subject. 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. The use of graphing calculators, Excel, Minitab, Minitab ExpressTM, 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.



Analysis of Financial Time Series

Analysis of Financial Time Series Author Ruey S. Tsay
ISBN-10 9780471746188
Release 2005-09-15
Pages 576
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Provides statistical tools and techniques needed to understand today's financial markets The Second Edition of this critically acclaimed text provides a comprehensive and systematic introduction to financial econometric models and their applications in modeling and predicting financial time series data. This latest edition continues to emphasize empirical financial data and focuses on real-world examples. Following this approach, readers will master key aspects of financial time series, including volatility modeling, neural network applications, market microstructure and high-frequency financial data, continuous-time models and Ito's Lemma, Value at Risk, multiple returns analysis, financial factor models, and econometric modeling via computation-intensive methods. The author begins with the basic characteristics of financial time series data, setting the foundation for the three main topics: Analysis and application of univariate financial time series Return series of multiple assets Bayesian inference in finance methods This new edition is a thoroughly revised and updated text, including the addition of S-Plus® commands and illustrations. Exercises have been thoroughly updated and expanded and include the most current data, providing readers with more opportunities to put the models and methods into practice. Among the new material added to the text, readers will find: Consistent covariance estimation under heteroscedasticity and serial correlation Alternative approaches to volatility modeling Financial factor models State-space models Kalman filtering Estimation of stochastic diffusion models The tools provided in this text aid readers in developing a deeper understanding of financial markets through firsthand experience in working with financial data. This is an ideal textbook for MBA students as well as a reference for researchers and professionals in business and finance.



Handbook of Statistical Analyses Using Stata Third Edition

Handbook of Statistical Analyses Using Stata  Third Edition Author Sophia Rabe-Hesketh
ISBN-10 1439832358
Release 2003-12-23
Pages 328
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The powerful statistical software Stata has streamlined data analysis, interpretation, and presentation for researchers and statisticians around the world. But because of its power and plethora of features, particularly in version 8, Stata manuals are usually quite extensive and detailed. The third edition of the Handbook of Statistical Analyses Using Stata describes the features of Stata version 8 in the same concise, convenient format that made the previous editions so popular. But the revisions updating the handbook to version 8 are not all this edition has to offer: the authors also added important material in three all-new chapters and focused more attention on Stata's improved graphical features. More Highlights of the Third Edition Ö Updates in all chapters that reflect the features of Stata 8 Ö A new chapter on random effects models Ö A new chapter on generalized estimating equations Ö A new chapter on cluster analysis Ö Increased emphasis on diagnostics Each chapter deals with a particular data set, identifies the appropriate analysis for it, and while it includes a brief account of the statistical background of the technique applied, the primary focus remains firmly on using Stata 8 and interpreting its results. Ideal for researchers, statisticians, and students alike, this handbook forms a perfect complement to the Stata manuals, by giving new users a head start on using the program and providing experienced users with a handy quick reference.



Analysis of economic data

Analysis of economic data Author Gary Koop
ISBN-10 IND:32000004233906
Release 2005-06-13
Pages 241
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Analysis of Economic Data teaches methods of data analysis to students whose primary interest is not in econometrics, statistics or mathematics. It shows students how to apply econometric techniques in the context of real-world empirical problems. It adopts a largely non-mathematical approach relying on verbal and graphical intuition and covers most of the tools used in modern econometrics research e.g. correlation, regression and extensions for time-series methods. It contains extensive use of real data examples and involves readers in hands-on computer work. The new edition includes new material on the mathematical background required by students and, for those readers unfamiliar with this background, a brief explanation of the relevant mathematics. Topics covered include: the equation of a straight line, the summation operator, and logarithms. The author also includes a much greater discussion of data transformations such as growth rates and index numbers. More material will also be added on data sources, largely focusing on internet data sources. Gary Koop has a very high international profile in the field of econometrics and is well known for his books and numerous journal publications. The second edition provides stronger coverage of the relevant introductory mathematics, including: the equation of a straight line, the summation operator, and logarithms. This will make the book more accessible for those students who have limited mathematical skills. Greater discussion is also provided of data transformations such as growth rate and index numbers. Index numbers are becoming increasingly important and are frequently used in economics courses. More material will also be provided on data sources, especially internet data sources which are becoming extremely important as a means of gathering data. Some students have difficulty with the collection of data and the inclusion of this material will help those students.



Diagnosing and Changing Organizational Culture

Diagnosing and Changing Organizational Culture Author Kim S. Cameron
ISBN-10 9781118047057
Release 2011-01-07
Pages 256
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Diagnosing and Changing Organizational Culture provides a framework, a sense-making tool, a set of systematic steps, and a methodology for helping managers and their organizations carefully analyze and alter their fundamental culture. Authors, Cameron and Quinn focus on the methods and mechanisms that are available to help managers and change agents transform the most fundamental elements of their organizations. The authors also provide instruments to help individuals guide the change process at the most basic level—culture. Diagnosing and Changing Organizational Culture offers a systematic strategy for internal or external change agents to facilitate foundational change that in turn makes it possible to support and supplement other kinds of change initiatives.