Quantitative Methods: For Business, Management and Finance / Edition 3

Quantitative Methods: For Business, Management and Finance / Edition 3

by Louise Swift, Sally Piff
     
 

Quantitative Methods is a comprehensive guide to the techniques any student of business or finance is likely to need. The authors' coaching, learning-by-doing approach coupled with the text's clear structural outline makes these essential mathematical skills far less daunting.
 
A bestselling and popular text in its previous editions, it has

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Overview

Quantitative Methods is a comprehensive guide to the techniques any student of business or finance is likely to need. The authors' coaching, learning-by-doing approach coupled with the text's clear structural outline makes these essential mathematical skills far less daunting.
 
A bestselling and popular text in its previous editions, it has been fully updated with:
 
* new 4 color text design
* New and improved Companion Website
* More empirical examples, from across the business, management and finance spectrum
* VLE-compatible web content for Blackboard and WebCT
* Updated commands and exercises in light of new version Excel and SPSS
* New content on: data mining, OLAP, text mining, non-parametric methods, index numbers, productivity software tools.

With its learn-by-doing approach, this guide will appeal to a wide audience, from undergraduates of business and finance to postgrad students studying quants.

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Product Details

ISBN-13:
9780230218246
Publisher:
Palgrave Macmillan
Publication date:
03/02/2010
Edition description:
Older Edition
Pages:
912
Product dimensions:
7.50(w) x 9.60(h) x 1.50(d)

Table of Contents

PART I: ESSENTIAL MATHS
Numbers and Symbols
Simplifying Expressions
Solving Problems
Modelling Using Straight Lines
PART II: MORE MATHS
Some Special Equations
Modelling Using Curves
Rates of Change
PART III: DESCRIBING DATA
Pictures of Data
Summarising Data
PART IV: PROBABILITY
Measuring Uncertainty
Numerical Outcomes
Continuous Numerical Outcomes
PART V: STATISTICS
Estimation
Testing Hypotheses
Correlation & Regression
Forecasting
Comparing Two Populations
Categorical Data
PART VI: BUSINESS MODELLING
Linear Programming Models
Planning Projects
Models for Inventory Control
Time and Money
Decision Making
Controlling Quality
Simulating Reality
STATISTICAL TABLES
Cumulative Binomial Probabilities
Cumulative Standard Normal Probabilities
Percentage Points of the Standard Normal Distribution
Random Digits
Percentage Points of the t Distribution
Percentage Points of the x2 Distribution

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