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.
Online Resource Centre
Student resources:
Introduction to Microsoft Excel 2010
Self-test Multiple Choice Questions
Data from the exercises in the book
Key websites
Online Glossary
Revision tips
Visual walkthroughs
Numerical skills workbook
Lecturer resources:
Instructor's Manual:
Guide to structuring lectures and seminars
Worked-out answers to exercises in the book
PowerPoint slides
Testbank:
30 Questions per chapter
Assignment Questions
Examination questions
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Editions-Typ
Maße
Höhe: 247 mm
Breite: 189 mm
Dicke: 22 mm
Gewicht
ISBN-13
978-0-19-965951-7 (9780199659517)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Autor*in
Principal Lecturer in e-Business and Data Analysis, Teesside University Teaching Fellow
Visiting Fellow of the University of Gloucestershire; VP- ExxonMobil Global Account, Emerson Process Management
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
