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Student Access Code For Statistics Data Analysis And Decision Modeling

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Student Access Code For Statistics Data Analysis And Decision Modeling

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Author : James R Evans
language : en
Publisher:
Release Date : 2012-03-01

Student Access Code For Statistics Data Analysis And Decision Modeling written by James R Evans and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-01 with categories.

Statistics Data Analysis And Decision Modeling

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Author : James Robert Evans
language : en
Publisher:
Release Date : 2003

Statistics Data Analysis And Decision Modeling written by James Robert Evans and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.

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.

Data Analytics For The Social Sciences

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Author : G. David Garson
language : en
Publisher: Routledge
Release Date : 2021-11-29

Data Analytics For The Social Sciences written by G. David Garson and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-29 with Psychology categories.

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.

Managerial Economics

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Author : William F. Samuelson
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-09

Managerial Economics written by William F. Samuelson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Business & Economics categories.

The new edition of the best-selling managerial economics textbook, extensively updated to reflect current examples, data, and research Now in its tenth edition, Managerial Economics introduces the complex decision problems facing today’s managers, equipping undergraduates, MBAs, and executives with the economic knowledge and analytical skills required to solve these problems. Going beyond the traditional academic approach to teaching economic analysis, this comprehensive textbook favors practical examples and skills rather than theoretical treatments, illustrating how managers use various economic methods in the modern business environment. Designed to strengthen critical thinking skills, each chapter opens with a central managerial problem that challenges readers to consider and evaluate possible choices and concludes with a detailed review and analysis of the decision using the concepts introduced in the chapter. Numerous decision-making examples, mini-cases, end-of-chapter problems, and real-world applications reinforce students’ quantitative understanding without overwhelming them with an excessive amount of mathematics. New to this Edition: New coverage of responses to the medical and economic risks posed by the Covid-19 pandemic, advances in Artificial Intelligence (AI), and the disruptive impact on the PGA tour caused by the rival LIV golf tour funded by Saudi Arabia New section on how a nationwide seller can optimally site an e-commerce distribution center New discussion of current topics, such as how Taylor Swift changed the negotiation playing field in creating and distributing the movie of her 2023 Eras Tour New examples of actual managerial behavior and practice based on the latest economics and decision analysis research New and updated end-of-chapter problems, references, discussion questions, and internet links Wiley Advantage: Presents an applications-based approach to managerial decision-making with emphasis on real-world practice Covers a wide range of core topics including optimal decisions and pricing, demand and cost analysis, decision making under uncertainty, strategic analysis using game theory, bargaining and negotiation, and international trade Integrates discussion questions in each chapter that frame broader economic issues, such as monopoly practices, competitive market equilibrium, and government regulation Provides students and instructors optional appendices that delve deeper into important advanced topics Includes a study guide for students with multiple-choice questions, quantitative problems, essay questions, and mini-cases Provides a companion website with an instructor’s manual, teaching suggestions, examples, links to current articles and cases, and a comprehensive test bank An Interactive, Multimedia Learning Experience This tenth edition of Managerial Economics includes an enhanced e-text that engages students with a variety of video and interactive content designed to complement and enrich the reading experience. Every new copy of the paperback textbook includes access to the e-text, and the video and interactive content is signposted throughout.

Statistics Data Analysis And Decision Modeling

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Author : James R Evans
language : en
Publisher: Pearson Higher Ed
Release Date : 2013-03-20

Statistics Data Analysis And Decision Modeling written by James R Evans and has been published by Pearson Higher Ed this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-20 with Business & Economics categories.

For undergraduate and graduate level courses that combines introductory statistics with data analysis or decision modeling. A pragmatic approach to statistics, data analysis and decision modeling. Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans’ dedication to present material in a simple and straightforward fashion is ideal for student comprehension. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Statistics Data Analysis And Decision Modeling

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Author : James R. Evans
language : en
Publisher:
Release Date : 2012-04-05

Statistics Data Analysis And Decision Modeling written by James R. Evans and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-05 with Beslutningsanalyse categories.

Teaching Statistics And Quantitative Methods In The 21st Century

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Author : Joseph Lee Rodgers
language : en
Publisher: Routledge
Release Date : 2020-07-14

Teaching Statistics And Quantitative Methods In The 21st Century written by Joseph Lee Rodgers and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-14 with Education categories.

This work, which provides a guide for revising and expanding statistical and quantitative methods pedagogy, is useful for novice and seasoned instructors at both undergraduate and graduate levels, inspiring them to use transformative approaches to train students as future researchers. Is it time for a radical revision in our pedagogical orientation? How are we currently teaching introductory statistics and quantitative methods, and how should we teach them? What innovations are used, what is in development? This ground-breaking edited volume addresses these questions and more, providing cutting-edge guidance from highly accomplished teachers. Many current textbooks and syllabi differ in only superficial ways from those used 50 years ago, yet the field of quantitative methods—and its relationship to the research enterprise—has expanded in many important ways. A philosophical axiom underlying this book is that introductory teaching should prepare students to potentially enter more advanced quantitative methods training and ultimately to become accomplished researchers. The reader is introduced to classroom innovation, and to both pragmatic and philosophical challenges to the status quo, motivating a broad revolution in how introductory statistics and quantitative methods are taught. Designed to update and renovate statistical pedagogy, this material will stimulate students, new instructors, and experienced teachers.