Univariate Selective Output

The UNIVARIATE Procedure
Variable: weight

Moments
N 19 Sum Weights 19
Mean 100.026316 Sum Observations 1900.5
Std Deviation 22.7739335 Variance 518.652047
Skewness 0.18335097 Kurtosis 0.68336484
Uncorrected SS 199435.75 Corrected SS 9335.73684
Coeff Variation 22.7679419 Std Error Mean 5.22469867

Quantiles (Definition 5)
Quantile Estimate
100% Max 150.0
99% 150.0
95% 150.0
90% 133.0
75% Q3 112.5
50% Median 99.5
25% Q1 84.0
10% 77.0
5% 50.5
1% 50.5
0% Min 50.5


 
Print: Quantiles Data Set

Obs VarName Quantile Estimate
1 weight 100% Max 150.0
2 weight 99% 150.0
3 weight 95% 150.0
4 weight 90% 133.0
5 weight 75% Q3 112.5
6 weight 50% Median 99.5
7 weight 25% Q1 84.0
8 weight 10% 77.0
9 weight 5% 50.5
10 weight 1% 50.5
11 weight 0% Min 50.5


 
Print: Quantiles Data Set 

         Plot of Quantile*Estimate.  Legend: A = 1 obs, B = 2 obs, etc.         
                                                                                
  Quantile |                                                                    
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99%        +                                                             A      
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95%        +                                                             A      
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90%        +                                                   A                
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75% Q3     +                                        A                           
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50% Median +                                 A                                  
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5%         +      A                                                             
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25% Q1     +                        A                                           
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100% Max   +                                                             A      
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10%        +                    A                                               
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1%         +      A                                                             
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0% Min     +      A                                                             
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           -+----------+----------+----------+----------+----------+----------+-
          40.0       60.0       80.0       100.0      120.0      140.0     160.0
                                                                                
                                          Estimate