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Statistical Methods for Business and Economics

Specificaties
Paperback, 863 blz. | Engels
McGraw-Hill Higher Education | 1e druk, 2009
ISBN13: 9780077109875
Rubricering
Hoofdrubriek : Economie
McGraw-Hill Higher Education 1e druk, 2009 9780077109875
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Samenvatting

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.

Specificaties

ISBN13:9780077109875
Taal:Engels
Bindwijze:paperback
Aantal pagina's:863
Druk:1
Verschijningsdatum:1-2-2009
Hoofdrubriek:Economie

Inhoudsopgave

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 A1: Excel and SPSS (on Internet)
Appendix A2: Summation operator?
Appendix A3: Greek letters
Appendix A4: Tables
Appendix A5: Numeric answers of exercises

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        Statistical Methods for Business and Economics