Synopses & Reviews
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 covers everything you need to know for an introductory quantitative methods course. Relating techniques directly to real-life business decisions in private and public sector organisations, it is particularly well-suited to MBA students who will be applying quantitative methods in day-to-day managerial decision-making.
Thoroughly revised and with an ever-more reader-friendly design in this fifth edition, key features of the book include:
- Student Activities with a solutions Appendix
- Fully worked examples and exercises supported by Excel data sets
- QMDM in Action case studies illustrating how real-life organisations benefit from the use of quantitative techniques
- A chapter on financial decision-making
A companion website at www.pearsoned.co.uk/wisniewski provides data sets and (for Instructors only) fully-worked solutions for the Exercises in the book.
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.
Synopsis
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 covers everything you need to know for an introductory quantitative methods course. Relating techniques directly to real-life business decisions in private and public sector organisations, it is particularly well-suited to MBA students who will be applying quantitative methods in day-to-day managerial decision-making.
Thoroughly revised and with an ever-more reader-friendly design in this fifth edition, key features of the book include:
- Student Activities with a solutions Appendix
- Fully worked examples and exercises supported by Excel data sets
- QMDM in Action case studies illustrating how real-life organisations benefit from the use of quantitative techniques
- A chapter on financial decision-making
A companion website at www.pearsoned.co.uk/wisniewski provides data sets and (for Instructors only) fully-worked solutions for the Exercises in the book.
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.
Table of Contents
1: Introduction
2: Tools of the Trade
3: Presenting Management Information
4: Management Statistics
5: Probability and Probability Distributions
6: Decision Making Under Uncertainty
7: Market Research and Statistical Inference
8: Quality Control and Quality Management
9: Forecasting I: Moving Averages and Time Series
10: Forecasting 2: Regression
11: Linear Programming
12: Stock Control
13: Project Management
14: Simulation
15: Financial Decision Making