Practical Statistics

黄珺 / 戴利君Posts & Telecom Press · ChinaFeb 2020

Rating 3.2
Word count
164K words
Chapters
63
ISBN
9787115505606

Tags

Finance and Economics Step-by-Step GuideField CasesCase AnalysisSelf-Study GuidePopular Explanation

Summary

This book adopts a project-driven, task-oriented approach. Guided by the principle of "solid theory, practical skills," it integrates the statistical knowledge system with statistical work and divides the content into seven projects: Understanding Statistics, Collecting and Organizing Statistical Data, Comprehensive Indicator Analysis, Time Series Analysis, Index Analysis, Parameter Estimation, and Correlation and Regression Analysis. Each project introduces a real work scenario and raises questions through task introduction; task analysis clarifies the specific steps needed to solve the problem; statistical knowledge serves as the means and tool for completing the task, allowing students to systematically master theoretical knowledge while completing the task; after each project, targeted application skill training, exercises, and knowledge extension are designed to consolidate and broaden the knowledge structure and horizons, achieving the dual cultivation of students' professional knowledge and quality education. This textbook is characterized by accurate positioning, moderate theory, systematic knowledge, vivid cases, accessibility, and close connection to practice. It can serve as an introductory textbook for statistics courses in management and economics disciplines, and also as reading reference for those engaged in research and practical work in social, economic, and management fields.

Editor's review

Statistics in Practice is a professional textbook that combines theoretical depth with practical guidance. Published by Posts & Telecom Press, the author Huang Jun has extensive teaching and practical experience, which gives the book a distinctive approach: it systematically presents the basic concepts and principles of statistics while transforming abstract theory into operable analytical tools through numerous real-world cases.

From a professional perspective, the book's outstanding value lies in its "practical" orientation. It does not stop at formula derivation and theoretical proof but focuses on explaining the application scenarios and interpretation points of various statistical methods in business analysis, market research, quality management, and social science research. For example, in core chapters on hypothesis testing and regression analysis, the author intersperses specific industry data and sample analytical reports to help readers understand how to make effective decisions based on analytical results. This approach greatly lowers the learning threshold of statistics, enabling readers without a mathematical background to grasp its essence.

Another highlight is the clear, step-by-step structure. It starts with data collection and descriptive statistics, gradually moves to probability distributions and sampling inference, and then to complex multivariate statistical methods, forming a complete learning loop. Each chapter ends with carefully designed exercises, including open-ended questions drawn from real research or corporate projects, which are ideal for consolidating knowledge and training the ability to solve practical problems.

Overall, this is an introductory and advanced statistics reader designed for application. It is especially suitable for professionals and cross-disciplinary students who need to use data to make their case at work but are intimidated by complex mathematical formulas. Through this book, readers will not only learn "how to calculate" but also understand "why to calculate" and "how to interpret the results," thereby truly gaining the ability to see the world through statistical thinking.

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Reading tips

  1. Read the chapters in order and complete each chapter's exercises, especially the case analysis questions
  2. While reading, try to connect the book's cases with problems in your own work or study and consider possible applications
  3. For key and difficult chapters (such as ANOVA and regression), slow down and deepen understanding with supplementary materials or online resources

About the publisher

Posts & Telecom Press China · Founded in 1953

Posts & Telecom Press is known for its strengths in science and technology, computing, and information and communications titles, and has extended its publishing into photography, art, software learning, and inspirational growth, giving it a fairly diverse range. Its catalog includes computing and communications works such as Refactoring and Patterns (Revised Edition) and Huawei Switch Learning Guide (Second Edition), alongside bilingual collector's editions such as The Little Prince (Chinese-English-French illustrated collector's edition), The Great Gatsby, and Three Days to See. Beijing Ten Years: 1980-1990 and Ghost Blade: WLOP Personal Illustration Collection reflect its presence in photography and art. Its authors include Antoine de Saint-Exupéry, Helen Keller, Joshua Kerievsky, Wang Da, Zhang Zhaozeng, and WLOP.

Contents

  1. 版权信息
  2. 内容提要
  3. 前言
  4. 项目一 认识统计学
  5. 任务一 统计学概述
  6. 任务二 统计研究的基本方法
  7. 任务三 统计学中常用的基本概念
  8. 项目小结
  9. 应用技能训练
  10. 知识拓展 体育中的统计学——篮球技术统计
  11. 项目二 统计数据的搜集与整理
  12. 任务一 统计数据的搜集
  13. 任务二 统计数据的整理
  14. 任务三 编制次数分布数列
  15. 任务四 统计数据的显示
  16. 项目小结
  17. 应用技能训练
  18. 知识拓展 洛伦兹曲线与基尼系数
  19. 项目三 综合指标分析
  20. 任务一 总量指标与相对指标分析
  21. 任务二 平均指标分析
  22. 任务三 标志变异指标分析
  23. 项目小结
  24. 应用技能训练
  25. 知识拓展 恩格尔系数
  26. 项目四 时间数列分析
  27. 任务一 时间数列概述
  28. 任务二 时间数列的水平分析
  29. 任务三 时间数列的速度分析
  30. 任务四 长期趋势测定
  31. 任务五 季节变动测定
  32. 项目小结
  33. 应用技能训练
  34. 知识拓展 股票市场的季节变动
  35. 项目五 指数分析
  36. 任务一 统计指数概述
  37. 任务二 编制综合指数
  38. 任务三 编制平均数指数
  39. 任务四 编制平均指标对比指数
  40. 任务五 利用指数体系进行因素分析
  41. 任务六 编制常用的经济指数
  42. 项目小结
  43. 应用技能训练
  44. 知识拓展 百度指数
  45. 项目六 抽样估计
  46. 任务一 抽样估计概述
  47. 任务二 计算抽样平均误差
  48. 任务三 总体参数估计
  49. 任务四 确定样本容量
  50. 项目小结
  51. 应用技能训练
  52. 知识拓展 “二战”中苏军是如何破解德军坦克产量的
  53. 项目七 相关分析与回归分析
  54. 任务一 相关分析
  55. 任务二 回归分析
  56. 项目小结
  57. 应用技能训练
  58. 知识拓展 统计回归效应
  59. 附录
  60. 附录一 随机数字表
  61. 附录二 标准正态分布概率度表
  62. 附录三 t分布临界值表
  63. 参考文献

FAQ

Does this book require a strong mathematical foundation? No. The book is positioned as applied and practical, focusing on statistical thinking, method application, and result interpretation. The necessary foundations in probability and calculus are covered in the book, so a high school-level mathematics background is sufficient for smooth study.
Which statistical software is used in the book? The book focuses on explaining the principles and applications of statistical methods and is not tied to any specific software. The examples are mostly general calculation processes and result presentations, so readers can freely choose familiar tools (such as Excel, SPSS, R, Python) for practice.
How does this book differ from classic textbooks such as Statistics or Business and Economic Statistics? The main difference lies in emphasis. Classic textbooks tend to have a more complete and rigorous theoretical system; this book emphasizes the complete practical workflow from real problems to the selection and implementation of statistical methods and finally to report presentation, with cases closer to the Chinese context and more accessible language.

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About the author

黄珺 Author

Huang Jun is an author about whom little public information is available; all that is known is a single work, Practical Statistics, catalogued under finance and economics. The title suggests a book oriented toward the practical application of statistics, intended for readers who need statistical methods to handle data and analyze problems, with an emphasis on operation and application rather than purely theoretical exposition. Owing to the limited information available, Huang Jun's life, nationality, educational background and professional positions cannot be confirmed, nor can anything be said about mentors, research direction or awards. On the present evidence, the writing leans toward practice, grounding statistical knowledge in concrete situations so that readers in finance and economics can understand and use it. The book may serve as an introductory and applied reference, though no firm inferences should be drawn about the author personally.

戴利君 Author

Public information about Dai Lijun is currently limited. The only verifiable work attributed to this author is one title, Statistics in Practice, commonly categorized under finance and economics. The title suggests that the author focuses on the application of statistical methods in practical work rather than on abstract theoretical exposition, and the content is likely aimed at practitioners who need to handle data, conduct surveys, and carry out analysis. Based on the available information, it is not possible to confirm the author's nationality, dates of birth and death, educational background, professional identity, or other details of a writing career, nor whether further works of the same kind exist. A fuller picture of Dai Lijun therefore awaits more sources; readers wishing to understand the author's approach may begin with Statistics in Practice and observe how statistical concepts and procedures are explained there.