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                                In this project-based course, you will have the opportunity to answer a question that you feel passionately about through independent research based on existing data. Students will have the opportunity to develop skills in generating testable hypotheses, preparing data for analysis, conducting descriptive and inferential statistical analyses, and presenting research findings. 
 
Overview
                    Syllabus
                                    
                  
                  
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                                        - Statistical Software set up; Data, data sets and data documentation
- Data management
- Descriptive statistics and data visualization
- Comparing means (ANOVA), tests of categorical independence (Chi Square) and Correlation (r)
- Moderation
- Presenting statistical results
 
 Exploring data documentation
 Running a basic program
 Data management
 Graphing
 Testing and interpreting bivariate associations and post hoc paired comparisons
 Testing and interpreting bivariate associations for population subgroups
 Writing about results