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Quantitative methods for business, management, and finance / Louise Swift &Sally Piff.

By: Contributor(s): Material type: TextTextPublication details: Houndmills, Basingstoke, Hampshire ; New York : Palgrave Macmillan, 2005.Edition: Second edDescription: xvii, 882 pages : illustrations. ; 25 cmISBN:
  • 9781403935281
Subject(s): DDC classification:
  • 519.5 SWI
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Standard Loan Moylish Library Main Collection 519.5 SWI (Browse shelf(Opens below)) 1 Available 39002100323196

Enhanced descriptions from Syndetics:

A comprehensive, student-focused textbook designed primarily for undergraduate business students taking an introductory course on quantitative methods. Starting with no assumptions about students' knowledge the authors use numerous examples, checkpoints and assessments to encourage 'learning by doing' and provides support for students of all abilities. This edition provides additional contextual information, includes a new chapter on decision-making, incorporates the use of SPSS in addition to Excel, and offers an expanded set of companion web resources for students and lecturers.

Includes bibliographical references (p. [xv]-xvii) and index.

Table of contents provided by Syndetics

  • Preface
  • Part 1 Essential Maths
  • Numbers and Symbols
  • Simplifying Expressions
  • Solving Problems
  • Modelling Using Straight Lines
  • Part 2 More Maths
  • Some Special Equations
  • Modelling Using Curves
  • Rates of Change
  • Part 3 Describing Data
  • Pictures of Data
  • Summarising Data
  • Part 4 Probability
  • Measuring Uncertainty
  • Numerical Outcomes
  • Two or More Random Variables
  • Continuous Numerical Outcomes
  • Part 5 Statistics
  • Estimation
  • Testing Hypotheses
  • Correlation and Regression
  • Forecasting
  • Comparing Two Populations
  • Categorical Data
  • Part 6 Business Modelling
  • Linear Programming Models
  • Planning Projects
  • Models for Inventory Control
  • Time and Money
  • Controlling Quality
  • Simulating Reality
  • Decision-Making
  • Index

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