Business Statistics using Excel

• Online refresher course in numerical skills and Microsoft Excel for students wishing to restore their basic knowledge of maths and statistics
• New links have been drawn between textbook content and employability skills enabling students to contextualise their learning and understand how these skills can be applied in real business environments
• The revised table of contents accurately maps to a typical one semester Business Statistics course, ensuring that students are not overwhelmed by surplus material
• Each chapter is packed with examples and 'techniques in practice' exercises at the end of each chapter to help students to engage with the material
• Full integration of Excel exercises and applications, both within the textbook and on the online resource centre to enable both classroom-led learning or self-directed study

New to this edition

• A guide to using Excel and a numerical skills revision resource have been added to the Online Resource Centre as an optional refresher course
• An additional chapter has been introduced to offer extended coverage on probability and probability distributions, offering more thorough explanations, questions and examples of this topic
• This second edition has been updated to give more emphasis on employability skills, drawing links between the exercises in the book and their real life application.
• All chapters have been fully revised and updated to include additional examples, explanations and discussion questions

Readership: The book is suitable for core one semester first year undergraduate modules in Business Statistics for students who are taking a degree in Business Studies or Administration. It is also suitable for students taking an introductory Statistics module as part of an Economics degree (some of whom will be taught together with the business students).

Glyn Davis, Principal Lecturer in e-Business and Data Analysis, Teesside University Teaching Fellow, and Branko Pecar, 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