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