Buch, Englisch, 952 Seiten, Format (B × H): 194 mm x 263 mm, Gewicht: 1534 g
Buch, Englisch, 952 Seiten, Format (B × H): 194 mm x 263 mm, Gewicht: 1534 g
ISBN: 978-0-07-710987-5
Verlag: McGraw-Hill Education
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.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Detailed table of contents Preface Guided Tour Technology to enhance teaching and learning 1 Introduction and basic concepts Part 1 Descriptive Statistics 2. Tables and graphs 3. Measures of location 4. Measures of variation 5.Pairs of variables Part 2 Probability 6. Definitions of Probability 7.Calculation of probabilities 8. Probability distribution, expectation, variance 9. Families of discrete distributions 10. Families of continuous distributions 11.Joint probability distributions Part 3 Sampling theory 12.Random samples 13.The sample mean 14.Sample proportion and other sample statistics Part 4 Inferential statistics 15.Interval estimation and hypothesis testing: a general introduction 16.Confidence intervals and tests for and 17.Statistical inference about 18.Confidence intervals and tests to compare two parameters 19. Simple linear regression 20.Multiple linear regression: introduction 21.Multiple linear regression: extension 22.Multiple linear regression: model violations 23.Time series and forecasting 24.Chi-squared tests 25.Nonparametric statistics Appendix A1Excel and SPSS (on Internet) Appendix A2Summation operator ¿ Appendix A3Greek letters Appendix A4Tables Appendix A5Numeric answers of exercises
