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Data Analysis Methods
Release Date: 2017-09-221. Basic Course Information
Course Title:Data Analysis Methods
Course Code:100494
Credit Hours/Credits:64/4
Students:Undergraduate Students major in Statistics and Applied Statistics
Prerequisites:Probability Theory,Mathematical Statistics, The Foundation of Statistics
Subsequent Course(s):None
Course Category:Professional Foundamental Course
Assessment: final exam (70%) + participation & assignments (30%)
2. Course Introduction
This course introduces the fundamental principles and methods of data analysis. The content includes: analysis of mean, correlation and regression analysis , analysis of variance, factor analysis, hypothesis testing; stem-and-leaf display, box plot, Q-Q probability plot, P-P probability plot and indicative methods of exploratory data analysis such as letter value, depth of data, five-number-summary, data exchange, residual analysis; graphic procedure with SPSS