Essential Statistics, Regression, and Econometrics aim to help students in an introductory statistics course develop the statistical reasoning they need for econometrics. Many students mistakenly believe that statistics courses are too abstract, mathematical, and tedious to be useful or interesting. To demonstrate the power, elegance, and even beauty of statistical reasoning, this textbook provides hundreds of interesting and relevant examples, and discuss not only the uses but also the abuses of statistics. These examples show how statistical reasoning can be used to answer important questions and also to expose the errors-accidental or intentional-that people often make.
Innovative in its focus on econometrics and in the extended emphasis on statistical reasoning, real data, pitfalls in data analysis, and modeling issues (including functional forms and causality), the book is readable and non-intimidating, with extensive word problems that emphasize intuition and understanding.
Key Features
• Extensive examples and real world case studies
• A single resource to help students learn statistical reasoning
• Teaches statistics as a prelude to an econometrics class
• A richer introduction to regression analysis
Contents
Introduction....
Chapter 1.) Data, Data, Data
Chapter 2.) Displaying Data
Chapter 3.) Descriptive Statistics
Chapter 4.) Probability
Chapter 5.) Sampling
Chapter 6.) Estimation
Chapter 7.) Hypothesis Testing
Chapter 8.) Simple Regression
Chapter 9.) The Art of Regression Analysis
Chapter 10.) Multiple Regression
Chapter 11.) Modeling (Optional)
Appendix
References
Index |