Correlations

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:\Users\KCT BS 7\AppData\Local\Temp\

Rar$DI02.624\Parames.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:\Users\KCT BS 7\AppData\Local\Temp\Rar$DI02.624\Parames.sav

Correlations

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


Comments




Filter <none>

Weight <none>

Split File <none>


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).




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

F Sig. t df Sig. (2-tailed) Mean Difference

Std. Error

Difference Lower Upper

mathscor Equal variances assumed .309 .584 2.540 23 .018 7.045 2.774 1.307 12.784

Equal variances not

assumed

2.545 21.793 .019 7.045 2.768 1.302 12.789

CORRELATIONS /VARIABLES=sem1perc sem2perc sem3perc sem4perc /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.

Correlations

Notes


Comments




Filter <none>

Weight <none>

Split File <none>



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.




Correlations

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


Comments




Filter <none>

Weight <none>

Split File <none>


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).




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

F Sig. t df Sig. (2-tailed) Mean Difference

Std. Error

Difference Lower Upper

mathscor Equal variances assumed .309 .584 2.540 23 .018 7.045 2.774 1.307 12.784

Equal variances not

assumed

2.545 21.793 .019 7.045 2.768 1.302 12.789

GET FILE='C:\Users\KCT BS 7\Downloads\data.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:\Users\KCT BS 7\Downloads\data.sav GET FILE='C:\Users\KCT BS 7\Downloads\data.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:\Users\KCT BS 7\Downloads\data.sav DATASET ACTIVATE DataSet1. DATASET CLOSE DataSet2. DATASET ACTIVATE DataSet1. DATASET CLOSE DataSet3. SAVE OUTFILE='C:\Users\KCT BS 7\Downloads\data.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


Comments

Input Data C:\Users\KCT BS 7\Downloads\data.sav


Filter <none>

Weight <none>

Split File <none>



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.



Dimensions Requested 2

Cells Available 174762

[DataSet1] C:\Users\KCT BS 7\Downloads\data.sav

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

gender * New MAT score is

categorised into two

25 100.0% 0 .0% 25 100.0%

gender * New MAT score is categorised into two Crosstabulation

Count

New MAT score is categorised into two

Total1.00 2.00

gender Male 6 5 11

Female 3 11 14

Total 9 16 25

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Exact Sig. (2-

sided)

Exact Sig. (1-

sided)

Pearson Chi-Square 2.932a 1 .087

Continuity Correctionb 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.

Crosstabs

Notes


Comments



Filter <none>

Weight <none>

Split File <none>



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.



Dimensions Requested 2

Cells Available 174762


Case Processing Summary

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

TotalArts &Science Commerce Professional

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

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 20.848a 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

Notes


Comments



Filter <none>

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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.




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


Within Groups 852.607 22 38.755

Total 894.000 24


Within Groups 2713.940 22 123.361

Total 2774.000 24


Within Groups 1663.107 22 75.596

Total 1710.000 24

Education

Correlations