Business & Economics

Data Analysis and Decision Making

Author: S. Albright,Wayne Winston,Christopher Zappe

Publisher: Cengage Learning

ISBN: 0538476125

Category: Business & Economics

Page: 1080

View: 7513

DATA ANALYSIS AND DECISION MAKING emphasizes data analysis, modeling, and spreadsheet use in statistics and management science. This text became a market leader in its first edition for its clarity of writing and teach-by-example approach, and it continues that tradition in this edition. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Business & Economics

Data Analysis and Decision Making with Microsoft Excel, Revised

Author: S. Albright,Wayne Winston,Christopher Zappe

Publisher: Cengage Learning

ISBN: 0324662440

Category: Business & Economics

Page: 1104

View: 7052

The emphasis of the text is on data analysis, modeling, and spreadsheet use in statistics and management science. This text contains professional Excel software add-ins. The authors maintain the elements that have made this text a market leader in its first edition: clarity of writing, a teach-by-example approach, and complete Excel integration. This edition has been revised to be compatible with Excel 2007 and the corresponding add-ins for Excel 2007. If you have moved to Excel 2007, you should use this revised edition. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Business & Economics

Business Analytics: Data Analysis & Decision Making

Author: S. Christian Albright,Wayne L. Winston

Publisher: Cengage Learning

ISBN: 1285965523

Category: Business & Economics

Page: 1008

View: 1520

Become a master of data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 5E! This quantitative methods text provides users with the tools to succeed with a teach-by-example approach, student-friendly writing style, and complete Excel 2013 integration. It is also compatible with Excel 2010 and 2007. Problem sets and cases provide realistic examples to show the relevance of the material. The Companion Website includes: the Palisade DecisionTools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); SolverTable, which allows you to do sensitivity analysis; data and solutions files, PowerPoint slides, and tutorial videos. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Business & Economics

Data Analysis and Decision Making with Microsoft Excel

Author: S. Christian Albright,Wayne L. Winston,Christopher James Zappe

Publisher: Duxbury Press

ISBN: 9780534383671

Category: Business & Economics

Page: 999

View: 4703

The emphasis of the text is on data analysis, modeling, and spreadsheet use in statistics and management science. This text contains professional Excel software add-ins. The authors maintain the elements that have made this text a market leader in its first edition: clarity of writing, a teach-by-example approach, and complete Excel integration.

Business Analytics

Data Analysis and Decision Making

Author: S. Christian Albright,Wayne L. Winston

Publisher: South-Western College

ISBN: 9780357109953

Category:

Page: 984

View: 3830

Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps you maximize your success with a proven teach-by-example presentation, inviting writing style and complete integration of the latest version of Excel. The approach is also compatible with earlier versions of Excel for your convenience. This edition is more data-oriented than ever before with a new chapter on the two main Power BI tools in Excel -- Power Query and Power Pivot -- and a new section of data visualization with Tableau Public. Current problems and cases demonstrate the importance of the concepts you are learning. In addition, a useful Companion Website provides data and solutions files, SolverTable for optimization sensitivity analysis and Palisade DecisionTools Suite. MindTap online resources are also available.
Decision making

Data Analysis and Decision Making with Microsoft Excel

Author: S. Christian Albright,Wayne L. Winston,Christopher James Zappe

Publisher: Brooks/Cole

ISBN: 9780534389321

Category: Decision making

Page: 998

View: 7848

"Software add-ins for Microsoft Excel: StatPro [2.0], RISK [4.0], PrecisionTree, Best Fit, RISKView, TopRank, and SolverTable with data files and appendices"--CD-ROM label.
Business & Economics

Private Real Estate Investment

Data Analysis and Decision Making

Author: Roger J. Brown

Publisher: Elsevier

ISBN: 0080480365

Category: Business & Economics

Page: 360

View: 8895

Fiduciary responsibilities and related court-imposed liabilities have forced investors to assess market conditions beyond gut level, resulting in the development of sophisticated decision-making tools. Roger Brown's use of historical real estate data enables him to develop tools for gauging the impact of circumstances on relative risk. His application of higher level statistical modeling to various aspects of real estate makes this book an essential partner in real estate research. Offering tools to enhance decision-making for consumers and researchers in market economies of any country interested in land use and real estate investment, his book will improve real estate market efficiency. With property the world's biggest asset class, timely data on housing prices just got easier to find and use. Excellent mixture of theory and application Data and database analysis techniques are the first of their kind
Education

Data Analysis and Decision Making

Statistics, Statistics

Author: CTI Reviews

Publisher: Cram101 Textbook Reviews

ISBN: 1467207896

Category: Education

Page: 39

View: 5299

Facts101 is your complete guide to Data Analysis and Decision Making. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
Industrial management

Statistics, Data Analysis, and Decision Modeling

Author: James Robert Evans

Publisher: Prentice Hall

ISBN: 9780131886094

Category: Industrial management

Page: 557

View: 8907

This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and production data already formatted on Excel worksheets. This shows how real data is used and decisions are made.Using Excel as the basic software, and including such add-ins as PHStat2, Crystal Ball, and TreePlan, this book covers a wide variety of topics related to business statistics: statistical thinking in business; displaying and summarizing data; random variables; sampling; regression analysis; forecasting; statistical quality control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization modeling; and solving and analyzing optimization models.For those employed in the fields of quality control, management science, operations management, statistical science, and those who need to interpret data to make informed business decisions.
Mathematics

Frontiers of Statistical Decision Making and Bayesian Analysis

In Honor of James O. Berger

Author: Ming-Hui Chen,Peter Müller,Dongchu Sun,Keying Ye,Dipak K. Dey

Publisher: Springer Science & Business Media

ISBN: 9781441969446

Category: Mathematics

Page: 631

View: 9583

Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers.
Mathematics

Statistical analysis

a decision-making approach

Author: Robert Parsons

Publisher: Harpercollins College Div

ISBN: N.A

Category: Mathematics

Page: 791

View: 727

The frequency distribution; Descriptive measures: ungrouped data; Descriptive measures: grouped data; The probability calculus; Bayes'rule - revision of probabilities in the light of new information; The concept of a discrete probability distribution: the binomial probability distribution; Bayes'rule revisted; Determination of an optimal decision rule - binomial sampling: a bayesin approach; The poisson and exponential distribution; The normal probability distribution: a continuous probability distribution; Sampling: the concept and the design; Estimation of a population parameter: the population mean; Estimation: the bayesian versus the classical position; Testing hypotheses concerning the value of a population parameter: the population mean; Tests ofhypotheses: determination of optimal sampling size - a classical approach; The t distribution (small sample theory); Three other parameters; The f distribution: analysis of variance; Decision making under risk: an introduction; Time series analysis: an introduction; Time series analysis: secular trend; Time series analysis: seasonal variation and cyclical fluctuatuions; Simple regression and correlation analysis; Multiple regression and correlation analysis; Nonparametric statistics; Index numbers.
Business & Economics

A PRACTITIONER'S GUIDE TO BUSINESS ANALYTICS: Using Data Analysis Tools to Improve Your Organization’s Decision Making and Strategy

Author: Randy Bartlett

Publisher: McGraw Hill Professional

ISBN: 0071807608

Category: Business & Economics

Page: 256

View: 1311

Gain the competitive edge with the smart use of business analytics In today’s volatile business environment, the strategic use of business analytics is more important than ever. A Practitioners Guide to Business Analytics helps you get the organizational commitment you need to get business analytics up and running in your company. It provides solutions for meeting the strategic challenges of applying analytics, such as: Integrating analytics into decision making, corporate culture, and business strategy Leading and organizing analytics within the corporation Applying statistical qualifications, statistical diagnostics, and statistical review Providing effective building blocks to support analytics—statistical software, data collection, and data management Randy Bartlett, Ph.D., is Chief Statistical Officer of the consulting company Blue Sigma Analytics. He currently works with Infosys, where he has helped build their new Business Analytics practice.
Decision making

Data Analysis, Optimization, and Simulation Modeling

Author: S. Christian Albright,Wayne L. Winston,Christopher James Zappe,Mark Nathan Broadie

Publisher: N.A

ISBN: 9780538476768

Category: Decision making

Page: 1061

View: 1784

DATA ANALYSIS, OPTIMIZATION, AND SIMULATION MODELING, 4e, International Edition is a teach-by-example approach, learner-friendly writing style, and complete Excel integration focusing on data analysis, modeling, and spreadsheet use in statistics and management science. The Premium Online Content Website (accessed by a unique code with every new book) includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, allowing users to do sensitivity analysis. All of the add-ins is revised for Excel 2007 and notes about Excel 2010 are added where applicable.
Technology & Engineering

Applied Data Analysis and Modeling for Energy Engineers and Scientists

Author: T. Agami Reddy

Publisher: Springer Science & Business Media

ISBN: 9781441996138

Category: Technology & Engineering

Page: 430

View: 9655

Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.
Political Science

Evidence for Policy and Decision-making

A Practical Guide

Author: George Argyrous

Publisher: UNSW Press

ISBN: 0868409030

Category: Political Science

Page: 309

View: 1219

The need to base policy on evidence has placed pressure on decision-makers to support proposals with well-grounded research and information. However, no practical guide with a focus on public sector policy and decision-making for doing this exists. This edited text fills the gap by providing a practical and comprehensive manual for people working in policy areas. It is aimed at practitioners with little or no experience in research and analysis but who require skills in managing, assessing and critically evaluating evidence use in the public sector. This first part of the book covers a range of broad frameworks within which evidence is used to arrive at decisions. These include evaluation, cost-benefit analysis, multi-criteria analysis, economic modelling and forecasting, and scenario planning and futures analysis. The second part of the book then discusses the specific methods used to gather and analyse evidence within these frameworks, including secondary data sources, sample surveys, and qualitative and quantitative data analysis. The emphasis throughout is not on technical knowledge, but critical understanding. George Argyrous is Senior Lecturer in the School of Social Sciences and International Studies at the University of New South Wales, Australia, and is an Adjunct Faculty member of the Australia and New Zealand School of Government.
Computers

Data Mining and Statistics for Decision Making

Author: Stéphane Tufféry

Publisher: John Wiley & Sons

ISBN: 9780470979280

Category: Computers

Page: 716

View: 6408

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations. Key Features: Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques. Starts from basic principles up to advanced concepts. Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software. Gives practical tips for data mining implementation to solve real world problems. Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring. Supported by an accompanying website hosting datasets and user analysis. Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.
Computers

Statistik mit Excel für Dummies

Author: Joseph Schmuller

Publisher: John Wiley & Sons

ISBN: 3527811702

Category: Computers

Page: 535

View: 8800

Statistiken und Aussagen zu Wahrscheinlichkeiten begegnen uns heute überall: Die Umsatzentwicklung in Unternehmen, Hochrechnungen für Wahlergebnisse, PISA-Ergebnisse fünfzehnjähriger Schüler sind nur drei von zahlreichen Beispielen. Joseph Schmuller zeigt Ihnen in diesem Buch, wie Sie die Zahlen in den Griff bekommen und Daten, Statistiken und Wahrscheinlichkeiten richtig lesen und interpretieren. Dafür brauchen Sie keinen Statistikkurs zu belegen und kein Mathegenie zu sein. Für alles gibt es in Excel die passende Funktion und das passende Werkzeug. So können Sie Theorie und Praxis sofort miteinander verbinden.
Business & Economics

Data Analysis for Managers with Microsoft Excel

Author: S. Christian Albright,Wayne L. Winston,Christopher James Zappe

Publisher: South-Western Pub

ISBN: 9780534383664

Category: Business & Economics

Page: 952

View: 9728

This text presents statistical concepts and methods in a unified, modern, spreadsheet-oriented approach. Featuring a wealth of business applications, this examples-based text illustrates a variety of statistical methods to help students analyze data sets and uncover important information to aid decision-making. DATA ANALYSIS FOR MANAGERS contains professional StatPro add-ins for Microsoft Excel from Palisade, valued at one hundred fifty dollars packaged at no additional cost with every new text.