Inhalt
              
                
                  
                    [ 551GRUSEBSU14 ]                                         UE                                         Introduction to Descriptive Statistics
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                  | (*)  Unfortunately this information is not available in english. | 
                 
                                
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                      | Workload | 
                                            Education level | 
                      Study areas | 
                                            Responsible person | 
                                                                  Hours per week | 
                                            Coordinating university | 
                     
                    
                      | 3 ECTS | 
                                            
                      B1 - Bachelor's programme 1. year | 
                      Statistics | 
                                                                  
                          Christine Duller                       | 
                                               
                                            2 hpw | 
                                            Johannes Kepler University Linz | 
                     
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                      | Detailed information | 
                     
                                        
                      | Pre-requisites | 
                      (*)keine
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                      | Original study plan | 
                      Bachelor's programme Statistics 2015W | 
                     
                      
                    
                      | Objectives | 
                      students know the basic concepts of descriptive statistics, can perform descriptive statistical analyses with Excel  and SPSS and  display data grafically  
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                      | Subject | 
                      absolute, relative, cumulative frequencies, marginal and conditional distribution,  distribution function, survival function; 
pie chart, bar chart, histogram,  empirical distribution function; mean, median,
mode, quantiles; variance, standard deviation, variation coefficient, range,
skewness, curtosis; Chi-square statistic, Cramer's V,  
spearman correlation, covariance, correlation, scatter plot; simple linear regression, coefficient of determination
 Introduction to SPSS.
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                      | Criteria for evaluation | 
                      homework + exam
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                      | Methods | 
                      presentation by the instructor 
 computer work in class
 
presentation of homework by students and discussion
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                      | Language | 
                      German | 
                     
                      
                    
                      | Study material | 
                      C. Duller, Einführung in die Statistik mit Excel und SPSS
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                      | Changing subject? | 
                      No | 
                     
                                        
                      | Corresponding lecture | 
                      (*)1MSMLU19: UE Einführung in die Methodenlehre I (3 ECTS)
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                      | On-site course | 
                     
                         
                    
                        | Maximum number of participants | 
                      40 | 
                          
                    
                      | Assignment procedure | 
                      Assignment according to priority | 
                     
                    
                     
                    
                    
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          | 2021SS | 
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                    MuSSS Linz | 
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          | Number obligatory dates | 
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              0           | 
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          | MuSSS assistance | 
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              N N           | 
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          | Number participants (min/max) | 
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              20              /
              40           | 
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          | Course fee | 
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             €             36,00           | 
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          | Dates | 
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              | Day | Date | Time | Room | Topic | 
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 | Wed | 30.06.2021 | 17:15 - 18:45 | HS 1 | Klausur |  | Fri | 01.10.2021 | 12:00 - 13:30 | HS 16 | Nachklausur |              | 
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