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This text is for students taking a first year Statistics for Economics module, and supports students by providing clear explanations of statistical tools and techniques and demonstrating how to apply them in wider business practice. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Statistics for Economics, Accounting and Business Studies

• Title Page


• Copyright Page


• Dedication


• Contents


• Guided tour of the book


• Publisher?s acknowledgements


• Preface to the seventh edition


• Acknowledgements


• Custom publishing


• Introduction


• 1 Descriptive statistics


• Learning outcomes


• Introduction


• Summarising data using graphical techniques


• Looking at cross-section data: wealth in the United Kingdom in 2005


• Summarising data using numerical techniques


• The box and whiskers diagram


• Time-series data: investment expenditures 1977?2009


• Graphing bivariate data: the scatter diagram


• Data transformations


• The information and data explosion


• Writing statistical reports


• Guidance to the student: how to measure your progress


• Summary


• Key terms and concepts


• Reference


• Formulae used in this chapter


• Problems


• Answers to exercises


• Appendix 1A: ? notation


• Problems on ? notation


• Appendix 1B: E and V operators


• Appendix 1C: Using logarithms


• Problems on logarithms


• 2 Probability


• Learning outcomes


• Probability theory and statistical inference


• The definition of probability


• Probability theory: the building blocks


• Events


• Bayes? theorem


• Decision analysis


• Summary


• Key terms and concepts


• Formulae used in this chapter


• Problems


• Answers to exercises


• 3 Probability distributions


• Learning outcomes


• Introduction


• Random variables and probability distributions


• The Binomial distribution