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Contains an introduction to the key methods and techniques useful for a typical statistics syllabus. This book helps students to develop the skills needed to analyze, interpret and prepare data for use in business, economics and related disciplines. It covers descriptive statistics, probability, sample theory and inferential statistics. This brand new book in statistics aims to provide an introduction to the key methods and techniques essential to a typical statistics syllabus, whilst also helping students to develop the skills needed to analyse, interpret and prepare data for use in business, economics and related disciplines.

Covering the essential methods required at undergraduate level, the book is structured into four parts that deal with descriptive statistics, probability, sample theory and inferential statistics, taking students from the basics through to more advanced topics such as multiple linear regression.

Every chapter contains clear descriptions of each technique, illustrated with numerous worked examples to aid students in understanding how to practice statistical methods. The real data used in the examples is drawn from European sources. The text also contains longer case examples set in a European business context, to show how statistics is used everyday in the business environment. Finally, each chapter concludes with a variety of exercises to test students’ ability to apply the theory and attain a high level of competence in using statistics.

This comprehensive book is ideal for student of statistics at undergraduate level taking an introductory module in the topic.

Book details

Format
Paperback / softback
Publisher
McGraw-Hill Education - Europe
Imprint
McGraw Hill Higher Education
Author
Gert Nieuwenhuis, McGraw Hill Higher Education, McGraw-Hill Education - Europe
ISBN-13
9780077109875
Publication date
2009-02-16
Edition
UK ed.
Dimensions
194 mm × 263 mm × 34 mm
Weight
1534 g
Country of origin
US

Paperback / softback

Statistical Methods for Business and Economics

door Gert Nieuwenhuis

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