Explore the significance of statistical methods in modern business and economics with Keller's acclaimed "STATISTICS FOR MANAGEMENT AND ECONOMICS, 12E." This edition prioritizes practical applications over complex calculations, introducing a unique "ICI" problem-solving approach. Through real-world examples, 30+ cases, and thousands of exercises using authentic data, learn to identify, calculate, and interpret statistics using Excel® XLSTAT or STATA®. Backed by MindTap resources and hands-on practice activities, this comprehensive guide equips managers, economists, and analysts to leverage statistical tools effectively in decision-making processes.
- "ICI" Approach: Helps students identify, compute, and interpret the correct statistical technique based on problem objectives, data type, and experimental design.
- Expanded Exercise Options: With almost 1000 new exercises added to this edition, totaling 2500 exercises for student practice, instructors have a wealth of resources for reinforcing statistical concepts.
- Case Studies and Datasets: The edition includes 32 case studies and over 1100 datasets for download, providing a rich array of practical applications and hands-on learning opportunities for students.
- Review Appendixes: Feature flowcharts and exercises for comprehensive application of techniques, ensuring understanding before progressing.
- Integrated Technology Tools: Allow for automation of manual calculations, providing more time for detailed statistics problem-solving in the course.
- Calculation-Free Testing: Focus on applications over calculations, enabling the use of calculation-free exams to assess practical statistical skills.
- Relevant Data Sets: Including recent surveys and real data on topics like politics, finance, climate change, and sports, fosters student engagement and relevance in learning.
- Emphasis on Identification and Interpretation: Equips students with practical skills for real-world problem-solving by focusing on applications rather than calculations.
- Extensive Data Sets for Practice: Provides abundant datasets for creating additional examples and exercises to reinforce learning.
- Excel® Integration: Students can now utilize Excel® to compute all statistical methods, offering flexibility in teaching approaches without the need for additional software.
- XLSTAT Integration: Updated output and instructions for using XLSTAT are included in chapter appendixes, facilitating students' use of this data analysis add-in for Excel® for enhanced learning.
- STATA® Integration: Additional output and instructions for using STATA® are available in each chapter's appendixes for instructors who prefer using STATA software for statistical analysis.
Cengage Digital App includes:
Data sets and Student downloads
1. What is Statistics?
2. Graphical Descriptive Techniques I
3. Graphical Descriptive Techniques II
4. Numerical Descriptive Techniques
5. Data Collection and Sampling
6. Probability
7. Random Variables and Discrete Probability Distributions
8. Continuous Probability Distributions
9. Sampling Distributions
10. Introduction to Estimation
11. Introduction to Hypothesis Testing
12. Inference about a Population
13. Inference about Comparing Two Populations
14. Analysis of Variance
15. Chi-Squared Tests
16. Simple Linear Regression and Correlation
17. Multiple Regression
18. Model Building
19. Nonparametric Statistics
20. Time-Series Analysis and Forecasting
21. Statistical Process Control
22. Decision Analysis
23. Conclusion
Appendix A. Data File Sample Statistics
Appendix B. Tables
Appendix C. Answers to Selected Even-Numbered Exercises
Gerald Keller
Gerald Keller is an emeritus professor of business at Wilfrid Laurier University, where he taught statistics, management science and operations management from 1974 to 2011.
