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Correlations

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Correlations

1. 1. CORRELATIONS /VARIABLES=sem1perc sem2perc sem3perc sem4perc /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.Correlations NotesOutput Created 15-Mar-2012 14:20:20CommentsInput Data C:UsersKCT BS 7AppDataLocalTempRar\$DI02.624Para mes.sav Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 25Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair.Syntax CORRELATIONS /VARIABLES=sem1perc sem2perc sem3perc sem4perc /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.Resources Processor Time 0:00:00.015 Elapsed Time 0:00:00.015[DataSet1] C:UsersKCT BS 7AppDataLocalTempRar\$DI02.624Parames.sav Correlations
2. 2. sem1perc sem2perc sem3perc sem4perc **sem1perc Pearson Correlation 1 .197 -.690 .110 Sig. (2-tailed) .346 .000 .600 N 25 25 25 25 **sem2perc Pearson Correlation .197 1 .525 .028 Sig. (2-tailed) .346 .007 .893 N 25 25 25 25 ** **sem3perc Pearson Correlation -.690 .525 1 -.241 Sig. (2-tailed) .000 .007 .246 N 25 25 25 25sem4perc Pearson Correlation .110 .028 -.241 1 Sig. (2-tailed) .600 .893 .246 N 25 25 25 25**. Correlation is significant at the 0.01 level (2-tailed).T-TEST GROUPS=gender(1 2) /MISSING=ANALYSIS /VARIABLES=mathscor /CRITERIA=CI(.95).T-Test NotesOutput Created 15-Mar-2012 14:47:00CommentsInput Data C:UsersKCT BS 7AppDataLocalTempRar\$DI02.624Para mes.sav Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 25
3. 3. Missing Value Handling Definition of Missing User defined missing values are treated as missing. Cases Used Statistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.Syntax T-TEST GROUPS=gender(1 2) /MISSING=ANALYSIS /VARIABLES=mathscor /CRITERIA=CI(.95).Resources Processor Time 0:00:00.000 Elapsed Time 0:00:00.009[DataSet1] C:UsersKCT BS 7AppDataLocalTempRar\$DI02.624Parames.sav Group Statistics gender N Mean Std. Deviation Std. Error Meanmathscor Male 11 89.55 6.817 2.055 Female 14 82.50 6.937 1.854 Independent Samples Test Levenes Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference Std. Error F Sig. t df Sig. (2-tailed) Mean Difference Difference Lower Uppermathscor Equal variances assumed .309 .584 2.540 23 .018 7.045 2.774 1.307 12.784 Equal variances not 2.545 21.793 .019 7.045 2.768 1.302 12.789 assumedCORRELATIONS /VARIABLES=sem1perc sem2perc sem3perc sem4perc /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.
4. 4. Correlations NotesOutput Created 15-Mar-2012 14:20:20CommentsInput Data C:UsersKCT BS 7AppDataLocalTempRar\$DI02.624Para mes.sav Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 25Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair.Syntax CORRELATIONS /VARIABLES=sem1perc sem2perc sem3perc sem4perc /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.Resources Processor Time 0:00:00.015 Elapsed Time 0:00:00.015[DataSet1] C:UsersKCT BS 7AppDataLocalTempRar\$DI02.624Parames.sav Correlations sem1perc sem2perc sem3perc sem4perc
5. 5. **sem1perc Pearson Correlation 1 .197 -.690 .110 Sig. (2-tailed) .346 .000 .600 N 25 25 25 25 **sem2perc Pearson Correlation .197 1 .525 .028 Sig. (2-tailed) .346 .007 .893 N 25 25 25 25 ** **sem3perc Pearson Correlation -.690 .525 1 -.241 Sig. (2-tailed) .000 .007 .246 N 25 25 25 25sem4perc Pearson Correlation .110 .028 -.241 1 Sig. (2-tailed) .600 .893 .246 N 25 25 25 25**. Correlation is significant at the 0.01 level (2-tailed).T-TEST GROUPS=gender(1 2) /MISSING=ANALYSIS /VARIABLES=mathscor /CRITERIA=CI(.95).T-Test NotesOutput Created 15-Mar-2012 14:47:00CommentsInput Data C:UsersKCT BS 7AppDataLocalTempRar\$DI02.624Para mes.sav Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 25Missing Value Handling Definition of Missing User defined missing values are treated as missing.
6. 6. Cases Used Statistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.Syntax T-TEST GROUPS=gender(1 2) /MISSING=ANALYSIS /VARIABLES=mathscor /CRITERIA=CI(.95).Resources Processor Time 0:00:00.000 Elapsed Time 0:00:00.009[DataSet1] C:UsersKCT BS 7AppDataLocalTempRar\$DI02.624Parames.sav Group Statistics gender N Mean Std. Deviation Std. Error Meanmathscor Male 11 89.55 6.817 2.055 Female 14 82.50 6.937 1.854 Independent Samples Test Levenes Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference Std. Error F Sig. t df Sig. (2-tailed) Mean Difference Difference Lower Uppermathscor Equal variances assumed .309 .584 2.540 23 .018 7.045 2.774 1.307 12.784 Equal variances not 2.545 21.793 .019 7.045 2.768 1.302 12.789 assumedGET FILE=C:UsersKCT BS 7Downloadsdata.sav. >Warning # 67. Command name: GET FILE >The document is already in use byanother user or process. If you make >changes to the document they may overwrite changes made by others or your >changes may beoverwritten by others. >File opened C:UsersKCT BS 7Downloadsdata.sav GET FILE=C:UsersKCT BS 7Downloadsdata.sav.>Warning # 67. Command name: GET FILE >The document is already in use by another user or process. If you make >changes to the