1. CORRELATIONS /VARIABLES=sem1perc sem2perc sem3perc sem4perc /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.
Correlations
Notes
Output Created 15-Mar-2012 14:20:20
Comments
Input Data C:UsersKCT BS
7AppDataLocalTempRar$DI02.624Para
mes.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 25
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics for each pair of variables are
based on all the cases with valid data for
that pair.
Syntax CORRELATIONS
/VARIABLES=sem1perc sem2perc
sem3perc sem4perc
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Resources Processor Time 0:00:00.015
Elapsed Time 0:00:00.015
[DataSet1] C:UsersKCT BS 7AppDataLocalTempRar$DI02.624Parames.sav
Correlations

2. 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 25
sem4perc 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
Notes
Output Created 15-Mar-2012 14:47:00
Comments
Input 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. 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 Mean
mathscor Male 11 89.55 6.817 2.055
Female 14 82.50 6.937 1.854
Independent Samples Test
Levene's 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 Upper
mathscor 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
assumed
CORRELATIONS /VARIABLES=sem1perc sem2perc sem3perc sem4perc /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.

4. Correlations
Notes
Output Created 15-Mar-2012 14:20:20
Comments
Input Data C:UsersKCT BS
7AppDataLocalTempRar$DI02.624Para
mes.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 25
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics for each pair of variables are
based on all the cases with valid data for
that pair.
Syntax CORRELATIONS
/VARIABLES=sem1perc sem2perc
sem3perc sem4perc
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Resources Processor Time 0:00:00.015
Elapsed Time 0:00:00.015
[DataSet1] C:UsersKCT BS 7AppDataLocalTempRar$DI02.624Parames.sav
Correlations
sem1perc sem2perc sem3perc sem4perc

5. **
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 25
sem4perc 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
Notes
Output Created 15-Mar-2012 14:47:00
Comments
Input 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
Missing Value Handling Definition of Missing User defined missing values are treated as
missing.

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 Mean
mathscor Male 11 89.55 6.817 2.055
Female 14 82.50 6.937 1.854
Independent Samples Test
Levene's 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 Upper
mathscor 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
assumed
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 document they may overwrite changes made by others or your >changes may be
overwritten 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

7. document they may overwrite changes made by others or your >changes may be overwritten by others. >File opened C:UsersKCT BS
7Downloadsdata.sav DATASET ACTIVATE DataSet1. DATASET CLOSE DataSet2. DATASET ACTIVATE DataSet1. DATASET CLOSE DataSet3. SAVE
OUTFILE='C:UsersKCT BS 7Downloadsdata.sav' /COMPRESSED. RECODE matscor (0 thru 300=1) (301 thru Highest=2) INTO newmat.
VARIABLE LABELS newmat 'New MAT score is categorised into two'. EXECUTE. CROSSTABS /TABLES=gender BY newmat /FORMAT=AVALUE
TABLES /STATISTICS=CHISQ /CELLS=COUNT /COUNT ROUND CELL.
Crosstabs
Notes
Output Created 22-Mar-2012 14:51:08
Comments
Input Data C:UsersKCT BS 7Downloadsdata.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 25
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics for each table are based on all the
cases with valid data in the specified
range(s) for all variables in each table.
Syntax CROSSTABS
/TABLES=gender BY newmat
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ
/CELLS=COUNT
/COUNT ROUND CELL.
Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.035
Dimensions Requested 2
Cells Available 174762
[DataSet1] C:UsersKCT BS 7Downloadsdata.sav

8. Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
gender * New MAT score is 25 100.0% 0 .0% 25 100.0%
categorised into two
gender * New MAT score is categorised into two Crosstabulation
Count
New MAT score is categorised into two
1.00 2.00 Total
gender Male 6 5 11
Female 3 11 14
Total 9 16 25
Chi-Square Tests
Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1-
Value df sided) sided) sided)
a
Pearson Chi-Square 2.932 1 .087
b
Continuity Correction 1.671 1 .196
Likelihood Ratio 2.964 1 .085
Fisher's Exact Test .115 .098
Linear-by-Linear Association 2.815 1 .093
N of Valid Cases 25
a. 1 cells (25.0%) have expected count less than 5. The minimum expected count is 3.96.
b. Computed only for a 2x2 table
CROSSTABS /TABLES=ugdegree BY backgrnd /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT /COUNT ROUND CELL.

9. Crosstabs
Notes
Output Created 22-Mar-2012 14:56:06
Comments
Input Data C:UsersKCT BS 7Downloadsdata.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 25
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics for each table are based on all the
cases with valid data in the specified
range(s) for all variables in each table.
Syntax CROSSTABS
/TABLES=ugdegree BY backgrnd
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ
/CELLS=COUNT
/COUNT ROUND CELL.
Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.000
Dimensions Requested 2
Cells Available 174762
[DataSet1] C:UsersKCT BS 7Downloadsdata.sav
Case Processing Summary

10. Cases
Valid Missing Total
N Percent N Percent N Percent
ugdegree * backgrnd 25 100.0% 0 .0% 25 100.0%
ugdegree * backgrnd Crosstabulation
Count
backgrnd
Arts &Science Commerce Professional Total
ugdegree BBM &B.Com 3 2 0 5
B.Sc 6 1 0 7
B.A 3 1 0 4
B.E & B.TECH 0 2 6 8
Others 0 0 1 1
Total 12 6 7 25
Chi-Square Tests
Asymp. Sig. (2-
Value df sided)
a
Pearson Chi-Square 20.848 8 .008
Likelihood Ratio 26.594 8 .001
N of Valid Cases 25
a. 15 cells (100.0%) have expected count less than 5. The minimum
expected count is .24.
ONEWAY sem1perc sem2perc sem3perc sem4perc BY backgrnd /MISSING ANALYSIS.
Oneway

11. Notes
Output Created 22-Mar-2012 15:00:59
Comments
Input Data C:UsersKCT BS 7Downloadsdata.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 25
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics for each analysis are based on
cases with no missing data for any variable
in the analysis.
Syntax ONEWAY sem1perc sem2perc sem3perc
sem4perc BY backgrnd
/MISSING ANALYSIS.
Resources Processor Time 0:00:00.016
Elapsed Time 0:00:00.009
[DataSet1] C:UsersKCT BS 7Downloadsdata.sav
ANOVA
Sum of Squares df Mean Square F Sig.
sem1perc Between Groups 63.393 2 31.696 .113 .894
Within Groups 6186.607 22 281.209
Total 6250.000 24
sem2perc Between Groups 41.393 2 20.696 .534 .594
Within Groups 852.607 22 38.755
Total 894.000 24

12. sem3perc Between Groups 60.060 2 30.030 .243 .786
Within Groups 2713.940 22 123.361
Total 2774.000 24
sem4perc Between Groups 46.893 2 23.446 .310 .736
Within Groups 1663.107 22 75.596
Total 1710.000 24