Quantitative Methods for Decision Makers
Wisniewski, Mik
Sold by Corner of a Foreign Field, Tokyo, TOKYO, Japan
AbeBooks Seller since September 15, 2015
Used - Soft cover
Condition: Used - Very good
Quantity: 1 available
Add to basketSold by Corner of a Foreign Field, Tokyo, TOKYO, Japan
AbeBooks Seller since September 15, 2015
Condition: Used - Very good
Quantity: 1 available
Add to basket2016.Softcover.Very good condition.579 pages.Ships from Japan.Usually ships in 1-2 working days.
Seller Inventory # 19073
Were you looking for the book with access to MyMathLab Global? This product is the book alone and does NOT come with access to MyMathLab Global. Buy Quantitative Methods for Decision Makers, 6th edition with MyMathLab Global access card (ISBN 9780273770763) if you need access to MyMathLab Global as well, and save money on this resource. You will also need a course ID from your instructor to access MyMathLab Global.
Appealing both to students on introductory courses for quantitative methods and MBA students, this well-respected text provides an accessible introduction to an area that students often find difficult. As a manager, developing a good understanding of the business analysis techniques at your disposal is crucial. Knowing how and when to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure.
Quantitative Methods for Decision Makers helps students to understand the relevance of quantitative methods of analysis to manager’s decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focusing on developing appropriate skills and understanding of how the techniques fit into the wider management process.
Key features:
“Wisniewski makes numerical and statistical concepts understandable and brings them to life using excellent scenarios and case studies. This book was a valuable resource during my MBA studies and I am encouraging all my non-statistical colleagues and anyone who works with statistics or performance measurement data to read this book!” Brian J Pickett, Assistant Director, Local Government Data Unit, Wales
Mik Wisniewski is Senior Research Fellow at Strathclyde Business School in Scotland. He also works as a freelance management consultant with clients including PriceWaterhouseCoopers, ScottishPower and Shell, and a variety of public sector organisations in the UK and internationally.
Appealing both to students on introductory courses for quantitative methods and MBA students, this well-respected text provides an accessible introduction to an area that students often find difficult. As a manager, developing a good understanding of the business analysis techniques at your disposal is crucial. Knowing how and when to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure.
Quantitative Methods for Decision Makers helps students to understand the relevance of quantitative methods of analysis to manager’s decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focusing on developing appropriate skills and understanding of how the techniques fit into the wider management process.
Key features:
“Wisniewski makes numerical and statistical concepts understandable and brings them to life using excellent scenarios and case studies. This book was a valuable resource during my MBA studies and I am encouraging all my non-statistical colleagues and anyone who works with statistics or performance measurement data to read this book!” Brian J Pickett, Assistant Director, Local Government Data Unit, Wales
Mik Wisniewski is Senior Research Fellow at Strathclyde Business School in Scotland. He also works as a freelance management consultant with clients including PriceWaterhouseCoopers, ScottishPower and Shell, and a variety of public sector organisations in the UK and internationally.
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