Statistics (data collection, organization, and analysis)

Author: Sun Yunwu
Publisher:
Publish Date: 2006-02-01
Features: "Statistics" is a discipline concerned with the collection, organization, and analysis of statistical data. It is not only one of the important foundational courses for finance and economics majors but also a foundational course for political science, sociology, and various natural sciences. Through the study of this course, readers can gain an in-depth understanding of the intrinsic essence and developmental patterns of phenomena by looking beyond the surface reflected by data, thereby laying a solid foundation for making correct judgments and decisions. This textbook is the result of the construction of the "Statistics" course, which is both a Shanghai Municipal Key Course and a Key Course of Shanghai University of Finance and Economics. With the development of social economy and science and technology, the "Statistics" course at Shanghai University of Finance and Economics has been continuously reformed and improved. Based on the work of predecessors and incorporating over two decades of teaching experience and insights, the author has made significant changes to the content of this course, aiming to organically integrate the "Principles of Socio-Economic Statistics," which primarily focuses on descriptive statistics, and the "Mathematical Statistics," which primarily focuses on inferential statistics. This integration allows for the complementary strengths of both courses and addresses issues of redundant content. Compared to the original textbook, this book has the following features:
1. Its structure is largely aligned with internationally recognized "Statistics" textbooks, covering all aspects of descriptive statistics and basic inferential statistics in modern statistics. For example, in Chapter, in addition to introducing important statistical terms, it focuses on statistical data and data collection, excluding content such as the history of statistical development and the research objects of statistics. In Chapter 3, it adds five-number summaries and box plots, making descriptive statistics more comprehensive. In Chapter 6, it enhances residual analysis and the establishment of regression models, laying a foundation for subsequent courses like "Econometrics."
2. Given the widespread use of calculators and computers, it excludes derivations and simplified formulas based on manual calculations. After presenting the basic formulas, it directly uses calculators or computers for calculations, making statistical applications more convenient.
3. Each chapter includes statistical case studies, aiming to overcome the previous shortage of examples and help readers better grasp the practical applications of statistics. Therefore, this book can serve as a teaching text for undergraduate students in non-statistics majors and also as a reference for graduate students in non-statistics majors or undergraduate students in statistics majors.
The author, building on the work of predecessors and incorporating over two decades of teaching experience and insights, has made significant changes to the content of this course, aiming to organically integrate the "Principles of Socio-Economic Statistics," which primarily focuses on descriptive statistics, and the "Mathematical Statistics," which primarily focuses on inferential statistics. This integration allows for the complementary strengths of both courses and addresses issues of redundant content. The book is rich in illustrations and can serve as a teaching text for undergraduate students in non-statistics majors and also as a reference for graduate students in non-statistics majors or undergraduate students in statistics majors.