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

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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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Editorial Reviews

From the Publisher
“Far too many students steer clear of quantitative methods because they fear that they will be unable to cope with the complexities of statistics and formulae. Louise Swift and Sally Piff have managed to produce a wonderfully clear text that takes students gently through the basic principles behind the most commonly used quantitative methods, simultaneously providing the basis for an understanding of statistical outputs which every researcher requires, regardless of the methods they chose to use in their own work.” —Tony Bryant, Professor of Informatics, Leeds Metropolitan University, UK
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Product Details

  • ISBN-13: 9780230218246
  • Publisher: Palgrave Macmillan
  • Publication date: 3/2/2010
  • Edition description: Older Edition
  • Edition number: 3
  • Pages: 912
  • Product dimensions: 7.50 (w) x 9.60 (h) x 1.50 (d)

Meet the Author

LOUISE SWIFT taught Quantitative Methods to students of business, management and finance for over ten years at the University of East Anglia, UK, where she now works as a statistician.

SALLY PIFF is the Quantitative Methods tutor in the School of Management, University of East Anglia, UK.

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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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