ISBN 9788130917559,Business Essentials Series: Business Maths

Business Essentials Series: Business Maths


Pippa Riley


BPP Learning Media



BPP Learning Media

Publication Year 2011

ISBN 9788130917559

ISBN-10 8130917556


Number of Pages 328 Pages
Language (English)

Business mathematics

Business Essentials range is the ideal learning solution for all students studying for business related qualifications and degrees. The range provides concise and comprehensive coverage of the key areas that are essential to the business students.

Qualifications in business are traditionally very demanding. Students therefore need learning resources which go straight to the core of the topics involved, and which build upon students’ pre- existing knowledge and experience. Business Essentials range has been designed to meet exactly that need.

Viva-BPP Learning Media’s Business Essentials range is the ideal choice for numerous business qualifications. The Course Books offer the perfect learning solution for a multitude of business- related courses.

The Course Books lend themselves specifically to:

use on courses leading to degrees and diplomas in business from a variety of institutions
use as generic texts on a wide range of business-related subjects
background reading and reference material for learners and lecturers alike

The Course Books provide concise and comprehensive coverage of all aspects of Business, with these key features:

A user-friendly format for easy navigation
Chapter introduction and summaries to put the topic into perspective
Plenty of up to date illustrations and case studies for students to discuss or work through Individually
Numerous timed activities to ensure consolidation of knowledge and further thought, with suggested answers.
Quick quizzes at the end of each chapter to ensure understanding
A glossary of terms and full index.

Table of Contents

Study Guide
Revision of basic mathematical techniques
Equations and graphs
Data presentation and measurements of location and dispersion
Frequency distributions, the normal curve and sampling
Linear programming
Regression and time series
Project management and network analysis
Financial mathematics