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Full Description
A reader-friendly introduction to the exciting world of statistics for the analysts, business leaders and policymakers of tomorrow. "Barrow and Shabab's Statistics for Economics, Accounting and Business Studies textbook has an excellent mix of application, intuition and statistical theory that is suitable for students with and without prior knowledge in statistics."
Dr Robert Riegler, Senior Lecturer in Economics, Aston University
Statistics for Economics, Accounting, and Business Studies,8th edition by Michael Barrow and C. Rashaad Shabab, is a user-friendly introduction to the subject, aimed at students studying economics, accountancy, finance, and business.
This comprehensive text applies a wide variety of statistical tools and techniques to real-world situations, with numerous examples and exercises integrated throughout to help you build up your knowledge and skills.
Easy to follow and without requiring any prior knowledge of Statistics, this book will guide you through the essential principles of the field and provide a thorough analysis of statistical concepts and methods.
Key features in this new edition include:
A new chapter on Data Visualisation, reflecting the growing importance of this topic
Application of statistics to issues of contemporary interest, such as the impact of global events like Covid-19, development economics, tourism, education and working hours
A greater focus on data science and big data, with supporting online material including data sets, software and code (Python and R) to analyse the data, as well as Excel versions, included for those who prefer
Plenty of exercises and problems to test your understanding of the subject and measure your progress
"An accessible, real-world and practical book. What really struck me about is that the book goes beyond a 'cook-book' approach (first, we do this, then we do that...). There is depth of analysis of the key methodological concepts."
Dr Nektarios Tzempelikos, Associate Professor of Marketing, Anglia Ruskin University
"This has long been my recommended text for business school undergraduates studying economics, finance or accounting. The focus on applications over theory makes it suitable for students with and without A level maths. It is rightly popular with my students."
Professor David Paton, Nottingham University Business School
Contents
Data visualisation
Descriptive statistics
Probability
Probability distributions
Estimation and confidence intervals
Hypothesis testing
The x2 and F distributions
Correlation and regression
Multiple regression
Workflow, data collection and analysis
Index numbers
Seasonal adjustment of time-series data
