Search Results for "data-analysis-and-decision-making"

Data Analysis and Decision Making

Data Analysis and Decision Making

  • Author: S. Albright,Wayne Winston,Christopher Zappe
  • Publisher: Cengage Learning
  • ISBN: 0538476125
  • Category: Business & Economics
  • Page: 1080
  • View: 5272
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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.

Data Analysis and Decision Making with Microsoft Excel, Revised

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: 8507
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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 Analytics: Data Analysis & Decision Making

Business Analytics: Data Analysis & Decision Making

  • Author: S. Christian Albright,Wayne L. Winston
  • Publisher: Cengage Learning
  • ISBN: 1285965523
  • Category: Business & Economics
  • Page: 1008
  • View: 645
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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.

Data Analysis and Decision Making in Scientific Inquiry

Data Analysis and Decision Making in Scientific Inquiry

A Statistical Approach for Middle School and High School Science Education

  • Author: Robert E. Landsman
  • Publisher: ANOVA Science Publishing
  • ISBN: 0976655101
  • Category: Decision making
  • Page: 229
  • View: 9451
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Data Analysis & Decision Making with Microsoft Excel

Data Analysis & Decision Making with Microsoft Excel

  • Author: Samuel Christian Albright,Wayne L. Winston,Christopher J. Zappe
  • Publisher: South-Western Pub
  • ISBN: 9780324663501
  • Category: Business & Economics
  • Page: 1090
  • View: 828
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Master data analysis, modeling, and spreadsheet use with DATA ANALYSIS AND DECISION MAKING WITH MICROSOFT EXCEL! With a teach-by-example approach, student-friendly writing style, and complete Excel integration, this quantitative methods text provides you with the tools you need to succeed. Margin notes, boxed-in definitions and formulas in the text, enhanced explanations in the text itself, and stated objectives for the examples found throughout the text make studying easy. Problem sets and cases provide realistic examples that enable you to see the relevance of the material to your future as a business leader. The CD-ROMs packaged with every new book include the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, and RISKOptimizer); and SolverTable, which allows you to do sensitivity analysis. All of these add-ins have been revised for Excel 2007.

Private Real Estate Investment

Private Real Estate Investment

Data Analysis and Decision Making

  • Author: Roger J. Brown
  • Publisher: Academic Press
  • ISBN: 0121377512
  • Category: Business & Economics
  • Page: 282
  • View: 9641
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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 *CDROM contains pre-written code for data analysis tailored specifically to real estate settings

Data Analysis and Decision Making with Microsoft Excel

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: 5324
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"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 Analytics

Business Analytics

Data Analysis and Decision Making

  • Author: S. Christian Albright,Wayne L. Winston
  • Publisher: Mindtap Course List
  • ISBN: 9780357109953
  • Category: Business & Economics
  • Page: 984
  • View: 872
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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.

Data Analysis and Decision Making

Data Analysis and Decision Making

Statistics, Statistics

  • Author: CTI Reviews
  • Publisher: Cram101 Textbook Reviews
  • ISBN: 1467207896
  • Category: Education
  • Page: 39
  • View: 4046
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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.

Statistics, Data Analysis, and Decision Modeling

Statistics, Data Analysis, and Decision Modeling

  • Author: James Robert Evans,David Louis Olson
  • Publisher: N.A
  • ISBN: 9780130675538
  • Category: Industrial management
  • Page: 478
  • View: 6012
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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.

Applied Data Analysis and Modeling for Energy Engineers and Scientists

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: 9840
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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.

Statistical Analysis and Decision Making Using Microsoft Excel

Statistical Analysis and Decision Making Using Microsoft Excel

  • Author: Grace Edmar Elizar del Prado
  • Publisher: Partridge Publishing Singapore
  • ISBN: 1482891018
  • Category: Business & Economics
  • Page: 162
  • View: 558
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This manuscript contains various approaches in interpreting data and how the unearthed pieces of information be used as practical inputs for decision making. With the aid of Microsoft Excel, presented in a step-by-step manner, data sets that differ in kind, probability, and distributions are analyzed and interpreted with a framework of solidifying fundamental understanding of data analysis and of carrying through these skills in the daily administration of decisions in managing production, people, money, and all forms of resources. This book hopes to complement with the other existing books in research and statistics that prefer to treat problems manually and explain applications theoretically. Students doing basic high school research will benefit from this book. College and graduate students who are doing a classroom research activity will also take full advantage of this. However, some novice researchers and professionals may find this manuscript equally useful; and those others who decided to dislike mathematics but found awe in it nonetheless. This book is really for them.

Sports Analytics

Sports Analytics

Analysis, Visualisation and Decision Making in Sports Performance

  • Author: Ambikesh Jayal,Allistair McRobert,Giles Oatley,Peter O'Donoghue
  • Publisher: Routledge
  • ISBN: 1351838954
  • Category: Sports & Recreation
  • Page: 272
  • View: 7162
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As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available. Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including: Interactive visualisation Simulation and modelling Geospatial data analysis Spatiotemporal analysis Machine learning Genomic data analysis Social network analysis Offering a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.

Private Real Estate Investment

Private Real Estate Investment

Data Analysis and Decision Making

  • Author: Roger J. Brown
  • Publisher: Academic Press
  • ISBN: 0121377512
  • Category: Business & Economics
  • Page: 282
  • View: 901
DOWNLOAD NOW »
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 *CDROM contains pre-written code for data analysis tailored specifically to real estate settings

Frontiers of Statistical Decision Making and Bayesian Analysis

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: 9758
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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.

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

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: 3767
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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.

Data Analysis and Pattern Recognition in Multiple Databases

Data Analysis and Pattern Recognition in Multiple Databases

  • Author: Animesh Adhikari,Jhimli Adhikari,Witold Pedrycz
  • Publisher: Springer Science & Business Media
  • ISBN: 3319034103
  • Category: Computers
  • Page: 238
  • View: 5631
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Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more diversified, many real-world data mining tasks can easily acquire multiple databases from various sources. In these cases, data mining becomes more challenging for several essential reasons. We may encounter sensitive data originating from different sources - those cannot be amalgamated. Even if we are allowed to place different data together, we are certainly not able to analyze them when local identities of patterns are required to be retained. Thus, pattern recognition in multiple databases gives rise to a suite of new, challenging problems different from those encountered before. Association rule mining, global pattern discovery and mining patterns of select items provide different patterns discovery techniques in multiple data sources. Some interesting item-based data analyses are also covered in this book. Interesting patterns, such as exceptional patterns, icebergs and periodic patterns have been recently reported. The book presents a thorough influence analysis between items in time-stamped databases. The recent research on mining multiple related databases is covered while some previous contributions to the area are highlighted and contrasted with the most recent developments.

Evidence for Policy and Decision-making

Evidence for Policy and Decision-making

A Practical Guide

  • Author: George Argyrous
  • Publisher: UNSW Press
  • ISBN: 0868409030
  • Category: Political Science
  • Page: 309
  • View: 4488
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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.

Schools and Data

Schools and Data

The Educator's Guide for Using Data to Improve Decision Making

  • Author: Theodore B. Creighton
  • Publisher: Corwin Press
  • ISBN: 145223843X
  • Category: Education
  • Page: 224
  • View: 1196
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Improve instructional leadership practice with proven, easy-to-understand strategies for data-based decision making! This reader-friendly second edition of Schools and Data provides real-world examples and step-by-step procedures for collecting and organizing data, providing every school leader with the means to facilitate more appropriate and effective decision making. With a highly practical method for statistical analysis, this highly accessible resource places special emphasis on: Connecting statistics and educators’ daily work Integrating Excel and SPSS technology Strengthening educators’ data interpretation skills Increasing the focus on correlation and regression Building strong skills in problem analysis, program evaluation, data-driven decision making, and report preparation