Lectures on Probability and Statistics for Graduate-Level Economics

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【簡介】 Sound knowledge of rigorous probability and statistics methods is essential to pursue graduate studies in economics. These sorts of tools are largely required to conduct research in modern fields of economics such as economic theory, empirical economics, experimental economics, or data science for economics. These notes provide an intuitive roadmap to navigate graduate-level courses in mathematical probability and statistics for economists. Each chapter presents questions prevalent on each topic and lays out the state-of-the-art theoretical frameworks used to address such questions. The book offers a diverse array of solved examples to help gain intuitions on abstract concepts, as well as unsolved exercises to stimulate the readers’ training in such concepts. The book presents the theoretical side of probability and statistics in a rather concise way and stresses the importance of motivating examples and observations. 【目錄】

Statistics for Management and Economics, Abridged (Custom Solutions) (12版)

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【簡介】 Discover how important statistical methods are for today's managers and economists as you learn how to apply these tools to real business problems with Keller's best-selling STATISTICS FOR MANAGEMENT AND ECONOMICS. This edition emphasizes applications over calculations. A unique three-step "ICI" approach to problem solving teaches you how to "identify" the correct statistical technique by focusing on the problem objective and data type; "compute" the statistics by hand or using Excel®; and, finally, "interpret" the results within the context of the problem. Data-driven examples and cases demonstrate how marketing managers, financial analysts, accountants and economists rely on statistical applications. In addition, thousands of exercises and datasets use real data from individuals, sports teams or the stock market to let you practice what you've learned. 【目錄】 1 What is Statistics? 2 Graphical Descriptive Techniques 3 Numerical Descriptive Techniques 4 Probability 5 Random Variables and Discrete Probability Distributions 6 Continuous Probability Distributions 7 Sampling Distributions 8 Introduction to Estimation 9 Introduction to Hypothesis Testing 10 Inference About a Population 11 Inference about Comparing Two Populations 12 Analysis of Variance 13 Chi-Squared Tests 14 Simple Linear Regression and Correlation Appendix A Data File Sample Statistics Appendix B Tables Appendix C A Guide to Statistical Techniques Appendix D Index of Excel Output and Instructions Appendix E Management and Economic Applications Appendix F Answers to Selected Even-Numbered Exercises

Statistics for Economists

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【簡介】 This first course in statistics is designed for undergraduate students. There are dozens of statistics textbooks in the market. But most of these textbooks are either pitched at a level that is too high or too low for most undergraduate students. Many use calculus and are designed for graduate students in technical fields. Others provide black box formulas without any derivations. This textbook focuses on deriving everything from first principles without using calculus or linear algebra. It is important for students to understand why they are doing what they are doing. Otherwise students cannot distinguish meaningless results from significant results. This textbook gets to the major points quickly and is thus relatively short and very accessible. 【目錄】 Preface About the Author Acknowledgements Why Statistics? Descriptive Statistics Probability Probability Distributions Special Probability Distributions Statistical Inference: Sampling and Sampling Distributions Confidence Intervals Hypothesis Testing Hypothesis Testing with Two Samples Simple Regression Multiple Regression Interpreting Regression Results Appendix Index