Description

This product contains one of the book Quantitative Analysis for Decision Makers and an access code to MyLab Math.

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There's no doubt that a manager's job is getting tougher. Do it better, do it faster, do it cheaper are the pressures every manager faces. And at the heart of every manager's job is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making.

As a manager, developing a good understanding of the quantitative 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.

Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. Quantitative Analysis for Decision Makers (formerly known as Quantitative Methods for Decision Makers) helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process.

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 II: Regression
• 11 Linear Programming
• 12 Stock Control
• 13 Project Management
• 14 Simulation
• 15 Financial Decision Making
• A Binomial Distribution
• B Areas in the Tail of the Normal Distribution
• C Areas in the Tail of the t Distribution
• D Areas in the Tail of the x2 Distribution
• E Areas in the Tail of the F Distribution, 0.05 Level
• F Solutions to Progress Check Questions

Back Cover

There's no doubt that a manager's job is getting tougher. Do it better, do it faster, do it cheaper are the pressures every manager faces. And at the heart of every manager's job is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making.

 

As a manager, developing a good understanding of the quantitative 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.

 

Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. Quantitative Analysis for Decision Makers (formerly known as Quantitative Methods for Decision Makers) helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process.

 

Key features:

• The use of real data sets to show how analytical techniques are used in practice
• “QADM in Action” case studies illustrating how organisations benefit from the use of analytical techniques
• Articles from the Financial Times illustrating the use of such techniques in a variety of business settings
• Fully worked examples and exercises supported by Excel data sets
• Student Progress Check activities in each chapter with solutions
• A 300+ page Tutors Solutions Manual 

 

Mik Wisniewski has almost five decades of experience in quantitative analysis. He has taught at a number of leading universities, worked in both industry and government and has extensive consultancy experience in the UK and across Europe, Africa, the Middle East and Asia.

 

Dr. Farhad Shafti is a senior academic with expertise in Management Science. He has