Principles of Statistics

Author: Cheng Yueqiu
Publisher:
Publish Date: 2003-02-01
Features: This book has the following characteristics:
1. Strong targeting. This textbook was specifically compiled to meet the teaching needs of statistics courses for vocational college students. Both its system structure and content arrangement fully reflect this point.
2. Complete basic content throughout the book. The content of the textbook includes both descriptive statistics and inferential statistics. On the basis of a detailed introduction to the theory and methods of descriptive statistics, the inferential statistics content is expanded to enhance students' ability to analyze complex real-world problems. Hypothesis testing is introduced as a separate chapter, which is rare and valuable for vocational college textbooks.
3. Emphasis on the explanation of fundamental principles, basic knowledge, and the training of basic skills in this discipline. The textbook focuses on clarifying statistical methods and concepts. Although it generally does not derive formulas, the explanations are still very clear, making it easy for students to grasp. Each chapter includes exercises and reflection questions, which not only help students deepen their understanding but also facilitate teaching.
4. Theoretical connection with practice. The textbook not only emphasizes the explanation of theoretical methods but also closely integrates them with practical applications.
5. Simple and profound, easy to understand, well-structured, appropriately illustrated examples, and accurate expression. In summary, this is an excellent statistics textbook for vocational colleges and can fully serve as a general textbook for statistics for students in vocational and technical colleges. Statistics is one of the foundational courses for economic and management majors in vocational, technical, and adult education institutions, and it is a required course in these fields, widely valued by the public. This book is compiled for vocational, technical, and adult education students, based on their training objectives, by teachers with long-term experience in statistics teaching in vocational and technical and adult education institutions and statistical practitioners. The major feature of this book is its readability. It avoids the mathematical derivation process of data processing methods but provides clear and understandable explanations of these methods. It eliminates concepts that appear infrequently in the theoretical system and almost do not affect the explanation of statistical principles. It strives to closely connect data processing methods with real social and economic phenomena, making it easier for students to understand the practical applications of these methods.