30227        
        
          Hauptseminar        
      
      WiSe 18/19: Elementary Data Analysis
Dieter Ohr
Kommentar
        This seminar aims to provide the basic procedures and principles of quantitative data analysis. First, univariate statistics such as the median, the arithmetic mean, and the variance will be (briefly) presented. Secondly, measures of association (e.g., Cramer‘s V, Lambda) will be explained. Thirdly, the linear regression model, simple and multiple regression, will be discussed in detail.        Schließen
    
  16 Termine
Regelmäßige Termine der Lehrveranstaltung
                  
                    
                      Do, 18.10.2018 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 25.10.2018 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 01.11.2018 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 08.11.2018 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 15.11.2018 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 22.11.2018 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 29.11.2018 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 06.12.2018 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 13.12.2018 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 20.12.2018 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 10.01.2019 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 17.01.2019 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 24.01.2019 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 31.01.2019 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 07.02.2019 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Do, 14.02.2019 14:00 - 16:00                    
                        
    
    
                  
                
              