Discriminant Analysis- Spss
DISCRIMINANT /GROUPS=R(1 2) /VARIABLES=Writtentest GD PI /ANALYSIS ALL /SAVE=CLASS /PRIORS EQUAL /STATISTICS=MEAN STDDEV RAW CORR TABLE CROSSVALID /CLASSIFY=NONMISSING POOLED.
Discriminant
Notes Output Created Comments Input Data C: \Users\Student\Desktop\experiment for disciminant analysis.sav DataSet1 30 User-defined missing values are treated as missing in the analysis phase. In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. Cases with user-, system-missing, or out-of-range values for the grouping variable are always excluded. DISCRIMINANT /GROUPS=R(1 2) /VARIABLES=Writtentest GD PI /ANALYSIS ALL /SAVE=CLASS /PRIORS EQUAL /STATISTICS=MEAN STDDEV RAW CORR TABLE CROSSVALID /CLASSIFY=NONMISSING POOLED. Processor Time Elapsed Time Variables Created or Dis_2 Modified Number of unweighted cases written to the working file after classification 0:00:00.031 0:00:00.021 Predicted Group for Analysis 1 30 2013-03-29T11:02:55.740
Active Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing
Missing Value Handling
Cases Used
Syntax
Resources
Page 1
[DataSet1] C:\Users\Student\Desktop\experiment for disciminant analysis.sav
Analysis Case Processing Summary Unweighted Cases Valid Excluded Missing or out-of-range group codes At least one missing discriminating variable Both missing or out-ofrange group codes and at least one missing discriminating variable Total N 30 0 0 0 0 30 Group Statistics Valid N (listwise) R Pass Mean Writtentest GD PI Fail Writtentest GD PI Total Writtentest GD PI 88.0000 7.6087 7.7391 77.8571 7.2857 7.1429 85.6333 7.5333 7.6000 Std. Deviation 7.73422 1.11759 1.28691 5.75698 1.25357 1.06904 8.44244 1.13664 1.24845 Unweighted 23 23 23 7 7 7 30 30 30 Weighted 23.000 23.000 23.000 7.000 7.000 7.000 30.000 30.000 30.000 Percent 100.0 .0 .0 .0 .0 100.0
Total
Pooled Within-Groups Matrices Writtentest Correlation Writtentest GD PI 1.000
Discriminant
Notes Output Created Comments Input Data C: \Users\Student\Desktop\experiment for disciminant analysis.sav DataSet1 30 User-defined missing values are treated as missing in the analysis phase. In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. Cases with user-, system-missing, or out-of-range values for the grouping variable are always excluded. DISCRIMINANT /GROUPS=R(1 2) /VARIABLES=Writtentest GD PI /ANALYSIS ALL /SAVE=CLASS /PRIORS EQUAL /STATISTICS=MEAN STDDEV RAW CORR TABLE CROSSVALID /CLASSIFY=NONMISSING POOLED. Processor Time Elapsed Time Variables Created or Dis_2 Modified Number of unweighted cases written to the working file after classification 0:00:00.031 0:00:00.021 Predicted Group for Analysis 1 30 2013-03-29T11:02:55.740
Active Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing
Missing Value Handling
Cases Used
Syntax
Resources
Page 1
[DataSet1] C:\Users\Student\Desktop\experiment for disciminant analysis.sav
Analysis Case Processing Summary Unweighted Cases Valid Excluded Missing or out-of-range group codes At least one missing discriminating variable Both missing or out-ofrange group codes and at least one missing discriminating variable Total N 30 0 0 0 0 30 Group Statistics Valid N (listwise) R Pass Mean Writtentest GD PI Fail Writtentest GD PI Total Writtentest GD PI 88.0000 7.6087 7.7391 77.8571 7.2857 7.1429 85.6333 7.5333 7.6000 Std. Deviation 7.73422 1.11759 1.28691 5.75698 1.25357 1.06904 8.44244 1.13664 1.24845 Unweighted 23 23 23 7 7 7 30 30 30 Weighted 23.000 23.000 23.000 7.000 7.000 7.000 30.000 30.000 30.000 Percent 100.0 .0 .0 .0 .0 100.0
Total
Pooled Within-Groups Matrices Writtentest Correlation Writtentest GD PI 1.000