Instant download Statistics For Management And Economics 11th Edition Keller Test Bank pdf docx epub after payment.
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 contents:
- Chapter 1: What Is Statistics?
- Chapter 2: Graphical Descriptive Techniques I
- Chapter 3: Graphical Descriptive Techniques II
- Chapter 4: Numerical 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
- Chapter 14: Analysis of Variance
- Chapter 15: Chi-Squared Tests
- Chapter 16: Simple Linear Regression and Correlation
- Chapter 17: Multiple Regression
- Chapter 18: Model Building
- Chapter 19: Nonparametric Statistics
- Chapter 20: Time-Series Analysis and Forecasting
- Chapter 21: Statistical Process Control
- Chapter 22: Decision Analysis
- Chapter 23: Conclusion
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