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Full Description
With the non-mathematician in mind, the sixth edition of Statistics for Business and Economics teaches learners the key concepts of statistics in business, management and economics. The authors blend statistical methodology with applications of data analysis to illustrate the fundamental role of statistics in problem-solving and decision making.
Computational methods give students a solid foundation to master statistical application and interpretation. At the end of each section, practical exercises encourage conceptual understanding of real-world problems. New content on big data enriches the learning experience and prepares students for the workplace.
Contents
Preface
Acknowledgements
About the authors
1. Data and Statistics
2. Descriptive statistics: tabular and graphical presentations
3. Descriptive statistics: numerical measures
4. Introduction to probability
5. Discrete probability distributions
6. Continuous probability distributions
7. Sampling and sampling distributions
8. Interval estimation
9. Hypothesis tests
10. Statistical inference about means and proportions with two populations
11. Inferences about population variances
12. Tests of goodness of fit and independence
13. Experimental design and analysis of variance
14. Simple linear regression
15. Multiple regression
16. Regression analysis: model building
17. Time series analysis and forecasting
18. Non-parametric methods
Appendix A References and bibliography
Appendix B Tables
Glossary
Credits
Index