Quantitative Approaches in Business Studies, 8th edition

Published by Pearson (April 28, 2014) © 2014

  • Clare Morris University of Gloucestershire
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Title overview

Build your confidence in using and interpreting quantitative methods

Quantitative Approaches in Business Studies provides a clear and accessible introduction to quantitative methods, ideal for students of business and management courses in Undergraduate, Master's and professional programmes.

When you begin your business degree, it is hard to have an idea about what to expect from a quantitative methods course. This textbook will help you tackle the crucial challenges of statistical and mathematical techniques. You will also learn how the latter contribute to different operational aspects such as the effective running of an organisation, the decision-making processes and operational efficiency.

With a uniquely user-friendly style, Clare Morris' popular treatment of this challenging subject is carefully designed to build your confidence in quantitative methods, encouraging the conceptual understanding as well as practical aptitude on the subject.

The text leads you from the initial chapter and revision of basic mathematics to the concluding chapter discussing statistical research methods for student projects.

New to this edition

  • Many new 'Quantitative Methods in Practice' examples, drawing from recent and topical articles in the press and beyond.
  • Substantial case studies at the end of each chapter, integrating the learning material.
  • Revised and updated content throughout.

Table of contents

Introduction: Why quantitative methods?

Part 1 NUMBERS – how we handle them

  1. Tools of the trade: basic numeracy skills

Part 2 NUMBERS – a means of communication

  1. Obtaining the figures: data and data collection
  2. Presenting the figures: tables and diagrams
  3. Summarising the figures: measures of location and spread
  4. Measuring changes: index numbers

Part 3 NUMBERS – a basis for deduction

  1. A firm foundation: elementary probability
  2. Patterns of probability: some distributions
  3. Estimating from samples: inference
  4. Checking a theory: hypothesis testing
  5. Making it better: statistics and quality improvement
  6. Looking for connections: correlation
  7. Spotting the relationship: line fitting
  8. Multiple regression

Part 4 NUMBERS – a tool of planning

  1. Planning an inventory policy: stock control and simulation
  2. Forecasting: time-series, semi-log graphs and exponential smoothing
  3. Allowing for interest: financial mathematics
  4. Planning production levels: linear programming
  5. Planning a project: network analysis
  6. Quantitative methods in the student research project
  7.  
 

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