Data Statistics and Analysis Techniques: SPSS Software Practical Tutorial

Author: Huang Runlong, Editor-in-Chief
Publisher:
Publish Date: 2004-07-01
Features: SPSS is a widely used statistical software both domestically and internationally. It is applicable for basic data processing and analysis in natural and social science fields, specifically in areas such as marketing, sales analysis, market research, statistical reporting, quality control, scientific research, social surveys, business management, teaching, and administrative management. This textbook takes the latest SPSS 12.0 version as a model, introducing the basic principles, theories, techniques, and operational skills of data preprocessing, statistical modeling, and data statistical analysis. The textbook emphasizes practicality, focusing on cultivating students' hands-on abilities, including the ability to summarize, categorize, organize, and analyze data from large-scale social surveys, as well as their skills in comprehensive quantitative analysis of basic data and research capabilities. At the same time, it pays attention to students' in-depth understanding and comprehension of mathematical models and data mining techniques. This textbook can serve as a teaching material for majors such as Information Management and Information Systems, Sociology, Advertising, Demography, Statistics, Education, and Economics in higher education institutions, and can also be referenced by those engaged in statistical analysis. The book takes the latest SPSS 12.0 version as a model, covering content such as data preprocessing, statistical modeling, and the basic principles, theories, techniques, and operational skills of data statistical analysis. Additionally, each chapter includes a summary and exercises.