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The definitive introduction to statistics by Anderson, Sweeney, Williams has now been expertly adapted for business and economics students across the United Kingdom, Europe, Middle East and Africa.
Adapting authors, Jim Freeman and Eddie Shoesmith, have taken the classic rigour and rich pedagogy of the United States text and carefully blended it with the latest applications and technology to provide a truly complete introduction to statistics. Students will engage seamlessly with the material as all Case Problems, Statistics in Practice features and examples throughout the text have been thoroughly revised using localised material, while a new full-colour design using photographs brings the subject to life. Hundreds of Exercises are included with the text while an accompanying CD-Rom contains over 100 unique Data Sets to ensure students and lecturers are provided with a complete learning package.This market-leading textbook on business statistics is the definitive introduction for students in Europe, the Middle East and Africa. Recognizing that students succeed best in this demanding subject when engaged, "Statistics in Practice" features open each chapter using high-profile examples such as The Spanish National Lottery, The Economist Newspaper and foreign direct investment in China. Updated coverage of Excel 2007 is matched with equal treatment of SPSS/PASW and Minitab to align student learning with the latest industry software, while a complete set of learning resources for students and lecturers (including data sets on an accompanying CD-Rom, online test banks and much more) make this a 'one stop shop' for all business statistics courses.
List of contents
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. Analysis of Variance and Experimental Design. 14. Simple Linear Regression. 15. Multiple Regression. 16. Regression Analysis: Model Building. 17. Index Numbers. 18. Forecasting. 19. Non-parametric Methods. 20. Statistical Methods for Quality Control. 21. Decision Analysis. 22. Sample Surveys On CD. Appendix A References and Bibliography. Appendix B Tables. Appendix C Summation Notation. Appendix D Answers to Exercises. Glossary. Index.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. Analysis of Variance and Experimental Design
14. Simple Linear Regression
15. Multiple Regression
16. Regression Analysis: Model Building
17. Index Numbers
18. Forecasting
19. Non-Parametric Methods
20. Statistical Methods for Quality Control
21. Decision Analysis
22. Sample Surveys (On CD)
