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
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
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