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Table 16 Kruskal-Wallis test (Computer Engineering)

From: Influence of algorithmic abstraction and mathematical knowledge on rates of dropout from Computing degree courses

Mean rank and homogenous subsets
Item1 Subset
1 2 3 4 5 6 7 8 9
17 317.43         
19 349.17 349.17        
15 361.32 361.32        
16 371.66 371.66        
2 388.76 388.76        
21 409.90 409.90 409.90       
18 428.38 428.38 428.38       
1   440.53 440.53 440.53      
20    522.20 522.20 522.20     
10     536.20 536.20     
9      608.79 608.79    
12      614.11 614.11 614.11   
5      630.68 630.68 630.68 630.68  
8      638.31 638.31 638.31 638.31 638.31
13      644.93 644.93 644.93 644.93 644.93
7       711.60 711.60 711.60 711.60
3       714.02 714.02 714.02 714.02
11       732.93 732.93 732.93 732.93
14        741.77 741.77 741.77
6         765.51 765.51
4          768.80
Chi-square value 11.559 9.197 7.276 4.666 10.545 13.51 13.77 12.74 12.008
Sig. (two-tailed test) 0.073 0.163 0.064 0.097 0.104 0.061 0.055 0.079 0.1
  1. Homogenous subsets are based on asymptotic significances. The significance level was 0.05
  2. 1Each cell indicates the mean sample position for the variable item