Business Statistics using Excel

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Glyn Davis (Principal Lecturer in e-Business and Data Analysis, Teesside University Teaching Fellow) Branko Pecar (Visiting Fellow of the University of Gloucestershire; VP- ExxonMobil Global Account, Emerson Process Management)

Business Statistics using Excel

Glyn Davis (Principal Lecturer in e-Business and Data Analysis, Teesside University Teaching Fellow), Branko Pecar (Visiting Fellow of the University of Gloucestershire; VP- ExxonMobil Global Account, Emerson Process Management)

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English

Oxford University Press
28 February 2013

Economic statistics; Business studies: general; Business mathematics & systems; Probability & statistics

Business Statistics using Excel offers a comprehensive introduction to the subject of statistics and equips students with the tools and skills that will enable them to approach their course with confidence. The step-by-step methods are accompanied by illustrative Excel screenshots to provide clear and helpful explanations of the techniques you will need when applying Excel skills to business statistics. The text is designed for a typical one semester business statistics course and each chapter is packed with exercises to engage students and encourage self-assessment.

This second edition has been fully revised to include an online refresher course in numerical skills and Microsoft Excel to reinforce students' confidence in their mathematical ability, or to check for basic maths knowledge if it has been some time since they studied it. The table of contents has been revised to more accurately map to a typical one semester Business Statistics course. More focus has been given to employability skills and the authors draw parallels between textbook content and employability skills, enabling students to contextualise their learning and identify how these skills can be applied and valued in real business environments.

A wealth of pedagogical features have been integrated to ensure plenty of examples are used throughout as well as running 'techniques in practice' exercises at the end of each chapter. This textbook is accompanied by an extensive Online Resource Centre which offers a range of additional resources for both students and lecturers.

By: Glyn Davis (Principal Lecturer in e-Business and Data Analysis Teesside University Teaching Fellow), Branko Pecar (Visiting Fellow of the University of Gloucestershire; VP- ExxonMobil Global Account, Emerson Process Management)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Edition: 2nd Revised edition
Dimensions: Height: 247mm, Width: 189mm, Spine: 22mm
Weight: 1g
ISBN: 9780199659517
ISBN 10: 0199659516
Pages: 504
Publication Date: 28 February 2013
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

1: Visualising and Presenting Data 2: Data Descriptors 3: Introduction to Probability 4: Probability Distributions 5: Sampling Distributions and Estimating 6: Introduction to Parametric Hypothesis Testing 7: Chi-Square and Non-Parametric Hypothesis Testing 8: Linear Correlation and Regression Analysis 9: Time Series Data and Analysis