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This is an applied statistics graduate course that emphasizes data description and analysis using statistics software. Students learn statistical methods and concepts through hands-on experience with real data. Specifically, the course is designed to provide students with practical answers to the following questions: a) what statistical tests should be used for certain types of data? b) how should the data be set up for analysis? c) what parameters should be specified when ordering the test? and d) how should the results be interpreted? The course covers the statistical functions most frequently used in scientific publications, such as descriptive statistics, t-test, ANOVA, correlation, regression, chi-square, etc.
