Statistics for Economics, Accounting and Business Studies

Author: Michael Barrow

Publisher: Pearson Higher Ed

ISBN: 1292118741

Category: Business & Economics

Page: 520

View: 2343

Do you need to brush up on your statistical skills to truly excel in your economics or business course? If you want to increase your confidence in statistics then this is the perfect book for you. The 7th edition of Statistics for Economics, Accounting and Business Studies continues to present a user-friendly and concise introduction to a variety of statistical tools and techniques. Throughout the text, the author demonstrates how and why these techniques can be used to solve real-life problems, highlighting common mistakes and assuming no prior knowledge of the subject.
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Statistics for Economics, Accounting and Business Studies

Author: Michael Barrow

Publisher: Pearson College Division

ISBN: 9780273717942

Category: Business & Economics

Page: 454

View: 4319

`An excellent reference book for the undergraduate student; filled with examples and applications - both practical (l.e. computer-based) and traditional (i.e. pen and paper problems); wide-ranging and sensibly ordered. The book is written clearly, easy to follow ...yet not in the least patronising. This is a particular strength. Christopher Gerry, UCL `There are thousands of intro stats books on the market, but few which are sufficiently orientated towards economics, and even fewer that treat topics with as much rigour as Barrow does.' Andy Dickerson, University of Sheffield `The Barrow exercises and online resources ofter good scope for directing students to a great source of self study.'Robert Watkins, Kingston University Do you need to brush up on your statistical skills to truly excel in your economics or business course? If you want to increase your confidence in statistics then this is the perfect book for you. The fifth edition of Statistics for Economics, Accounting and Business Studies continues to present a user-friendly and concise introduction to a variety of statistical tools and techniques. Throughout the text, the author demonstrates.how and why these techniques can be used to solve real-life problems, highlighting common mistakes and assuming no prior knowledge of the subject. A brand new online learning resource for this edition available to users of this book at www.pearsoned.co.uk/barrow An unrivalled online study and testing resource that generates a personalised study plan and provides extensive practice questions exactly where you need them. This core textbook is aimed at undergraduate and MBA students taking an introductory statistics course on their economics, accounting or business studies degree
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Statistics for Economics, Accounting and Business Studies

Author: Michael Barrow

Publisher: Pearson Education

ISBN: 9780273717980

Category: Commercial statistics

Page: 454

View: 6101

This is a clear and concise introduction to a range of statistical concepts and techniques for economics, accounting and business students.
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Essentials of Statistics for Business and Economics

Author: David R. Anderson,Dennis J. Sweeney,Thomas A. Williams,Jeffrey D. Camm,James J. Cochran

Publisher: Cengage Learning

ISBN: 1337516562

Category: Business & Economics

Page: 50

View: 9169

Trust the market-leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 8E to introduce sound statistical methodology using real-world examples, proven approaches, and hands-on exercises that build the foundation readers need to analyze and solve business problems quantitatively. This edition gives readers the foundation in statistics needed for an edge in today's competitive business world. The authors’ signature problem-scenario approach and reader-friendly writing style combines with proven methodologies, hands-on exercises, and real examples to take readers deep into today’s actual business problems. Readers learn how to solve problems from an intelligent, quantitative perspective. Streamlined to focus on core topics, this new edition provides the latest updates with new case problems, applications, and self-test exercises to help readers master key formulas and apply statistical methods as they learn them. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Poor Numbers

How We Are Misled by African Development Statistics and What to Do about It

Author: Morten Jerven

Publisher: Cornell University Press

ISBN: 0801467616

Category: Political Science

Page: 176

View: 9051

One of the most urgent challenges in African economic development is to devise a strategy for improving statistical capacity. Reliable statistics, including estimates of economic growth rates and per-capita income, are basic to the operation of governments in developing countries and vital to nongovernmental organizations and other entities that provide financial aid to them. Rich countries and international financial institutions such as the World Bank allocate their development resources on the basis of such data. The paucity of accurate statistics is not merely a technical problem; it has a massive impact on the welfare of citizens in developing countries. Where do these statistics originate? How accurate are they? Poor Numbers is the first analysis of the production and use of African economic development statistics. Morten Jerven's research shows how the statistical capacities of sub-Saharan African economies have fallen into disarray. The numbers substantially misstate the actual state of affairs. As a result, scarce resources are misapplied. Development policy does not deliver the benefits expected. Policymakers' attempts to improve the lot of the citizenry are frustrated. Donors have no accurate sense of the impact of the aid they supply. Jerven's findings from sub-Saharan Africa have far-reaching implications for aid and development policy. As Jerven notes, the current catchphrase in the development community is "evidence-based policy," and scholars are applying increasingly sophisticated econometric methods-but no statistical techniques can substitute for partial and unreliable data.
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Forecasting for Economics and Business

Author: Gloria González-Rivera

Publisher: Routledge

ISBN: 1315510391

Category: Business & Economics

Page: 512

View: 6540

For junior/senior undergraduates in a variety of fields such as economics, business administration, applied mathematics and statistics, and for graduate students in quantitative masters programs such as MBA and MA/MS in economics. A student-friendly approach to understanding forecasting. Knowledge of forecasting methods is among the most demanded qualifications for professional economists, and business people working in either the private or public sectors of the economy. The general aim of this textbook is to carefully develop sophisticated professionals, who are able to critically analyze time series data and forecasting reports because they have experienced the merits and shortcomings of forecasting practice.
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Introductory Regression Analysis

with Computer Application for Business and Economics

Author: Allen Webster

Publisher: Routledge

ISBN: 1136593098

Category: Business & Economics

Page: 478

View: 3298

Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require constructive actions with significant consequences, and regression procedures can prove a meaningful and valuable asset in the decision-making process. This text is designed to help students achieve a full understanding of regression and the many ways it can be used. Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use and interpretation of software, while also demonstrating the logic, reasoning, and calculations that lie behind any statistical analysis. Furthermore, the text emphasizes the application of regression tools to real-life business concerns. This multilayered, yet pragmatic approach fully equips students to derive the benefit and meaning of a regression analysis. This text is designed to serve in a second undergraduate course in statistics, focusing on regression and its component features. The material presented in this text will build from a foundation of the principles of data analysis. Although previous exposure to statistical concepts would prove helpful, all the material needed for an examination of regression analysis is presented here in a clear and complete form.
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Statistics for Business and Economics

Author: James T. McClave

Publisher: Pearson

ISBN: 013444633X

Category: Business & Economics

Page: 864

View: 4636

For courses in Introductory Business Statistics. Real Data. Real Decisions. Real Business. Now in its Thirteenth Edition, Statistics for Business and Economics introduces statistics in the context of contemporary business. Emphasizing statistical literacy in thinking, the text applies its concepts with real data and uses technology to develop a deeper conceptual understanding. Examples, activities, and case studies foster active learning while emphasizing intuitive concepts of probability and teaching readers to make informed business decisions. The Thirteenth Edition continues to highlight the importance of ethical behavior in collecting, interpreting, and reporting on data, while also providing a wealth of new and updated exercises and case studies. Also available with MyLab Statistics MyLab™ Statistics is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. NOTE: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. If you would like to purchase both the physical text and MyLab Statistics, search for: 0134648366 / 9780134648361 Statistics for Business and Economics Plus MyLab Statistics with Pearson eText -- Access Card Package Package consists of: 0134506596 / 9780134506593 Statistics for Business and Economics 032192147X / 9780321921475 MyLab Statistics for Business Statistics -- Glue-In Access Card 0321929713 / 9780321929716 MyLab Statistics for Business Statistics Sticker MyLab Statistics should only be purchased when required by an instructor.
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Statistics for Business and Economics

Author: Paul Newbold,William Carlson,Betty Thorne

Publisher: Pearson Higher Ed

ISBN: 0133071375

Category: Business & Economics

Page: 792

View: 1161

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. A classic text for accuracy and statistical precision. Statistics for Business and Economics enables readers to conduct serious analysis of applied problems rather than running simple “canned” applications. This text is also at a mathematically higher level than most business statistics texts and provides readers with the knowledge they need to become stronger analysts for future managerial positions. The eighth edition of this book has been revised and updated to provide readers with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.
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Applied Statistics in Business and Economics

Author: David P. Doane,Lori E. Seward

Publisher: McGraw-Hill Higher Education

ISBN: 9780071317627

Category: Commercial statistics

Page: 834

View: 6127

The 4th Edition of Applied Statistics in Business & Economics provides real meaning to the use of statistics in real world by using real business situations and real data while appealing students to know why rather than just the how. Four distinct objectives have been met to follow this premise: Objective 1: Communicate the Meaning of Variation in a BusinessContext Objective 2: Use Real Data and Real Business Applications Objective 3: Incorporate Current Statistical Practices and Offer Practical Advice Objective 4: Provide More In-Depth Explanation of the Why and Let the Software Take Care of the How The emphasis of the 4th edition remains the same: thinking about data, choosing appropriate analytic tools, using computers effectively, and recognising limitations of statistics. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.
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Introduction to Business Statistics

Author: Ronald M. Weiers

Publisher: Cengage Learning

ISBN: 1111792372

Category: Business & Economics

Page: 896

View: 1038

Highly praised for its exceptional clarity, technical accuracy, and useful examples, Weiers' INTRODUCTION TO BUSINESS STATISTICS, Seventh Edition, introduces fundamental statistical concepts with an engaging, conversational presentation and a strong emphasis on the practical relevance of course material to students' lives and careers. The text's outstanding illustrations, friendly language, non-technical terminology, and current examples involving real-world business and personal settings will capture students' interest and prepare them for success from day one. Continuing cases, contemporary business applications, and more than 300 new or revised exercises and problems reflect important trends and the latest developments in today's dynamic business environment -- all with an accuracy you and your students can trust. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Statistical Thinking

Improving Business Performance

Author: Roger Hoerl,Ron D. Snee

Publisher: John Wiley & Sons

ISBN: 1118236858

Category: Business & Economics

Page: 544

View: 9018

How statistical thinking and methodology can help you make crucial business decisions Straightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance. Explores why statistical thinking is necessary and helpful Provides case studies that illustrate how to integrate several statistical tools into the decision-making process Facilitates and encourages an experiential learning environment to enable you to apply material to actual problems With an in-depth discussion of JMP® software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses.
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Business Statistics Using EXCEL and SPSS

Author: Nick Lee,Mike Peters

Publisher: SAGE

ISBN: 1473943884

Category: Business & Economics

Page: 584

View: 4468

'Takes the challenging and makes it understandable. The book contains useful advice on the application of statistics to a variety of contexts and shows how statistics can be used by managers in their work.' - Dr Terri Byers, Assistant Professor, University Of New Brunswick, Canada A book about introductory quantitative analysis, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems. Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha's Story" help bring the study of statistics alive. A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding Back to Basics for those struggling to understand, explain concepts in the most basic way possible - often relating to interesting or humorous examples Above and Beyond for those racing ahead and who want to be introduced to more interesting or advanced concepts that are a little bit outside of what they may need to know Think it over get students to stop, engage and reflect upon the different connections between topics A range of online resources including a set of data files and templates for the reader following in-text examples, downloadable worksheets and instructor materials, answers to in-text exercises and video content compliment the book. An ideal resource for undergraduates taking introductory statistics for business, or for anyone daunted by the prospect of tackling quantitative analysis for the first time.
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Statistics Explained

Author: Perry R. Hinton

Publisher: Routledge

ISBN: 1317753925

Category: Psychology

Page: 358

View: 8612

Statistics Explained is an accessible introduction to statistical concepts and ideas. It makes few assumptions about the reader’s statistical knowledge, carefully explaining each step of the analysis and the logic behind it. The book: provides a clear explanation of statistical analysis and the key statistical tests employed in analysing research data gives accessible explanations of how and why statistical tests are used includes a wide range of practical, easy-to-understand worked examples. Building on the international success of earlier editions, this fully updated revision includes developments in statistical analysis, with new sections explaining concepts such as bootstrapping and structural equation modelling. A new chapter - ‘Samples and Statistical Inference’ - explains how data can be analysed in detail to examine its suitability for certain statistical tests. The friendly and straightforward style of the text makes it accessible to all those new to statistics, as well as more experienced students requiring a concise guide. It is suitable for students and new researchers in disciplines including Psychology, Education, Sociology, Sports Science, Nursing, Communication, and Media and Business Studies. Presented in full colour and with an updated, reader-friendly layout, this new edition also comes with a companion website featuring supplementary resources for students. Unobtrusive cross-referencing makes it the ideal companion to Perry R. Hinton’s SPSS Explained, also published by Routledge. Perry R. Hinton has many years of experience in teaching statistics to students from a wide range of disciplines and his understanding of the problems students face forms the basis of this book.
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Understanding The New Statistics

Effect Sizes, Confidence Intervals, and Meta-Analysis

Author: Geoff Cumming

Publisher: Routledge

ISBN: 1136659188

Category: Psychology

Page: 536

View: 4505

This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book’s exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book’s pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.
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Online Course Pack

Research Methods in Business Studies: A Practical Guide with Onekey Coursecompass Access Card: Ghauri, Research Methods in Business Studies

Author: Pervez Ghauri

Publisher: Financial Times/Prentice Hall

ISBN: 9781405832076

Category:

Page: N.A

View: 937

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Mathematics for Economics and Business

Author: Ian Jacques

Publisher: Pearson Higher Ed

ISBN: 1292074299

Category: Business & Economics

Page: 672

View: 4236

If you want to increase your confidence in mathematics then look no further! Assuming little prior knowledge, this market-leading text is a great companion for those who have not studied mathematics in depth before. Breaking topics down into short sections makes each new technique you learn seem less daunting. This book promotes self-paced learning and study, as students are encouraged to stop and check their understanding along the way by working through practice problems. FEATURES Many worked examples and business related problems. Core exercises now have additional questions, with more challenging problems in starred exercises which allow for more effective exam preparation. Answers to every question are given in the back of the book, encouraging students to assess their own progress and understanding. Wide-ranging topic coverage suitable for all students studying for an Economics or Business degree.
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Applied Multivariate Statistical Concepts

Author: Debbie L. Hahs-Vaughn

Publisher: Routledge

ISBN: 1317811364

Category: Psychology

Page: 662

View: 9798

More comprehensive than other texts, this new book covers the classic and cutting edge multivariate techniques used in today’s research. Ideal for courses on multivariate statistics/analysis/design, advanced statistics or quantitative techniques taught in psychology, education, sociology, and business, the book also appeals to researchers with no training in multivariate methods. Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks students through the most used methods to learn why and how to apply each technique. A conceptual approach with a higher than usual text-to-formula ratio helps reader’s master key concepts so they can implement and interpret results generated by today’s sophisticated software. Annotated screenshots from SPSS and other packages are integrated throughout. Designed for course flexibility, after the first 4 chapters, instructors can use chapters in any sequence or combination to fit the needs of their students. Each chapter includes a ‘mathematical snapshot’ that highlights the technical components of each procedure, so only the most crucial equations are included. Highlights include: -Outlines, key concepts, and vignettes related to key concepts preview what’s to come in each chapter -Examples using real data from education, psychology, and other social sciences illustrate key concepts -Extensive coverage of assumptions including tables, the effects of their violation, and how to test for each technique -Conceptual, computational, and interpretative problems mirror the real-world problems students encounter in their studies and careers -A focus on data screening and power analysis with attention on the special needs of each particular method -Instructions for using SPSS via screenshots and annotated output along with HLM, Mplus, LISREL, and G*Power where appropriate, to demonstrate how to interpret results -Templates for writing research questions and APA-style write-ups of results which serve as models -Propensity score analysis chapter that demonstrates the use of this increasingly popular technique -A review of matrix algebra for those who want an introduction (prerequisites include an introduction to factorial ANOVA, ANCOVA, and simple linear regression, but knowledge of matrix algebra is not assumed) -www.routledge.com/9780415842365 provides the text’s datasets preformatted for use in SPSS and other statistical packages for readers, as well as answers to all chapter problems, Power Points, and test items for instructors ?
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Applied Multivariate Statistics for the Social Sciences

Analyses with SAS and IBM’s SPSS, Sixth Edition

Author: Keenan A. Pituch,James P. Stevens

Publisher: Routledge

ISBN: 1317805925

Category: Psychology

Page: 794

View: 3982

Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include: NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this "newer" procedure and how it can be used in conventional and multilevel settings NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3) A free online resources site at www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises). Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.
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Valuepack

Mathematics for Economics and Business with Statistics for Economics, Accounting and Business Studies

Author: Ian Jacques,Michael Barrow

Publisher: Financial Times/Prentice Hall

ISBN: 9781405840897

Category:

Page: N.A

View: 1694

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