(eBook PDF) Statistics for Management and Economics 11th Edition by Gerald Keller – Digital Ebook – Instant Delivery Download
Product Details:
- ISBN-10 : 1337093459
- ISBN-13 : 978-1337093453
- Author: Gerald Keller
Discover how statistical methods and tools are vital for today’s managers as you learn how to apply these tools to real business problems. STATISTICS FOR MANAGEMENT AND ECONOMICS, 11E emphasizes applications over calculation using a proven three-step “ICI” approach to problem solving. You learn how to IDENTIFY the correct statistical technique by focusing on the problem objective and data type; how to COMPUTE the statistics by hand or using Excel or XLSTAT; and how to INTERPRET results in the context of the problem. Extensive data-driven examples, exercises, and cases address the functional areas of business and demonstrate how marketing managers, financial analysts, accountants, and economists rely on statistical applications. Engaging cases focus on climate change and the relationship between payroll and wins in professional sports, while dozens of exercises feature the returns on 40 stocks, which are used to develop the market model and portfolio diversification.
Table of Content:
Chapter 1: What Is Statistics?
Chapter 2: Graphical Descriptive Techniques I
Chapter 3: Graphical Descriptive Techniques II
Chapter 4: Numerical Descriptive Techniques
Appendix 4: Review of Descriptive Techniques
Chapter 5: Data Collection And Sampling
Chapter 6: Probability
Chapter 7: Random Variables and Discrete Probability Distributions
Chapter 8: Continuous Probability Distributions
Chapter 9: Sampling Distributions
Chapter 10: Introduction to Estimation
Chapter 11: Introduction to Hypothesis Testing
Chapter 12: Inference About a Population
Chapter 13: Inference about Comparing Two Populations
Appendix 13: Review of Chapters 12 and 13
Chapter 14: Analysis of Variance
Appendix 14: Review of Chapters 12 to 14
Chapter 15: Chi-Squared Tests
Appendix 15: Review of Chapters 12 to 15
Chapter 16: Simple Linear Regression and Correlation
Appendix 16: Review of Chapter 12 to 16
Chapter 17: Multiple Regression
Appendix 17: Review of Chapters 12 to 17
Chapter 18: Model Building
Chapter 19: Nonparametric Statistics
Appendix 19: Review of Statistical Inference (Chapters 12 to 19)
Chapter 20: Time-Series Analysis and Forecasting
Chapter 21: Statistical Process Control
Chapter 22: Decision Analysis
Chapter 23: Conclusion
Appendix A: Data File Sample Statistics
Appendix B: Tables
Appendix C: Answers to Selected Even-Numbered Exercises
Index
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