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Notes
Output Created 25-MAY-2019 12:14:04
Comments
Input
Data C:\Users\User\Desktop\ORDER
1003500.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File GENDER
N of Rows in Working Data File 649
Syntax
GGRAPH
/GRAPHDATASET
NAME="graphdataset"
VARIABLES=GENDER RESULT
MISSING=LISTWISE
REPORTMISSING=NO
/GRAPHSPEC SOURCE=INLINE.
BEGIN GPL
SOURCE:
s=userSource(id("graphdataset"))
DATA: GENDER=col(source(s),
name("GENDER"), unit.category())
DATA: RESULT=col(source(s),
name("RESULT"), unit.category())
DATA: id=col(source(s),
name("$CASENUM"), unit.category())
GUIDE: axis(dim(1),
label("GENDER"))
GUIDE: axis(dim(2), label("RESULT"))
SCALE: cat(dim(1), include("1.00",
"2.00"))
ELEMENT:
schema(position(bin.quantile.letter(GEN
DER*RESULT)), label(id))
END GPL.
Resources Processor Time 00:00:00.22
Elapsed Time 00:00:00.22

SPLIT FILE OFF.
* Chart Builder.
GGRAPH
/GRAPHDATASET NAME="graphdataset" VARIABLES=GENDER RESULT MISSING=LISTWISE
REPORTMISSING=NO
/GRAPHSPEC SOURCE=INLINE.
BEGIN GPL
SOURCE: s=userSource(id("graphdataset"))
DATA: GENDER=col(source(s), name("GENDER"), unit.category())
DATA: RESULT=col(source(s), name("RESULT"), unit.category())
DATA: id=col(source(s), name("$CASENUM"), unit.category())
GUIDE: axis(dim(1), label("GENDER"))
GUIDE: axis(dim(2), label("RESULT"))
GUIDE: text.title(label("Boxplot of results between male and female"))
SCALE: cat(dim(1), include("1.00", "2.00"))
ELEMENT: schema(position(bin.quantile.letter(GENDER*RESULT)), label(id))
END GPL.
GGraph
Notes
Output Created 25-MAY-2019 12:17:57
Comments
Input
Data C:\Users\User\Desktop\ORDER
1003500.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 649

Syntax
GGRAPH
/GRAPHDATASET
NAME="graphdataset"
VARIABLES=GENDER RESULT
MISSING=LISTWISE
REPORTMISSING=NO
/GRAPHSPEC SOURCE=INLINE.
BEGIN GPL
SOURCE:
s=userSource(id("graphdataset"))
DATA: GENDER=col(source(s),
name("GENDER"), unit.category())
DATA: RESULT=col(source(s),
name("RESULT"), unit.category())
DATA: id=col(source(s),
name("$CASENUM"), unit.category())
GUIDE: axis(dim(1),
label("GENDER"))
GUIDE: axis(dim(2), label("RESULT"))
GUIDE: text.title(label("Boxplot of
results between male and female"))
SCALE: cat(dim(1), include("1.00",
"2.00"))
ELEMENT:
schema(position(bin.quantile.letter(GEN
DER*RESULT)), label(id))
END GPL.
Resources Processor Time 00:00:00.22
Elapsed Time 00:00:00.19
[DataSet0] C:\Users\User\Desktop\ORDER 1003500.sav

T-TEST GROUPS=GENDER(1 2)
/MISSING=ANALYSIS
/VARIABLES=RESULT
/CRITERIA=CI(.95).
T-Test
Notes
Output Created 25-MAY-2019 12:36:45
Comments
Input
Data C:\Users\User\Desktop\ORDER
1003500.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 649
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=RESULT
/CRITERIA=CI(.95).
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.02
[DataSet0] C:\Users\User\Desktop\ORDER 1003500.sav
Group Statistics
GENDER N Mean Std. Deviation Std. Error Mean
RESULT FEMALE 383 61.2794 15.62177 .79823
MALE 266 57.0301 16.60345 1.01802
Independent Samples Test
Statistics
Levene's Test for
Equality of
Variances
t-test for Equality of Means
F Sig. t df Sig. (2-
tailed)
Mean
Differenc
e
Std.
Error
Differenc
e
95%
Confiden
ce
Interval
of the
Differenc
e
Lower
RESULT
Equal variances
assumed
.003 .957 3.321 647 .001 4.24930 1.27952 1.73679
Equal variances
not assumed
3.285 547.46
4
.001 4.24930 1.29366 1.70816

Independent Samples Test
Statistics
t-test for Equality of Means
95% Confidence Interval
of the Difference
Upper
RESULT
Equal variances assumed 6.76180
Equal variances not assumed 6.79044
T-TEST GROUPS=RELATIONSHIPS(1 2)
/MISSING=ANALYSIS
/VARIABLES=RESULT
/CRITERIA=CI(.95).
T-Test
Notes
Output Created 25-MAY-2019 13:23:45
Comments
Input
Data C:\Users\User\Desktop\ORDER
1003500.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 649
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=RELATIONSHIPS(1
2)
/MISSING=ANALYSIS
/VARIABLES=RESULT
/CRITERIA=CI(.95).
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
[DataSet0] C:\Users\User\Desktop\ORDER 1003500.sav
Group Statistics
RELATIONSHIPS N Mean Std. Deviation Std. Error Mean
RESULT Yes (Romantic relationship) 239 57.6151 17.80385 1.15164
No (Not romantic relationship) 410 60.6585 15.02013 .74179
Independent Samples Test
Levene's Test for
Equality of Variances
t-test for Equality of Means
F Sig. t df Sig. (2-
tailed)
Mean
Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower Upper
RESULT
Equal variances assumed 3.825 .051 -2.323 647 .021 -3.04347 1.31027 -5.61638 -.47057
Equal variances not
assumed
-2.222 433.076 .027 -3.04347 1.36986 -5.73588 -.35107
GET
FILE='C:\Users\User\Downloads\3356804_1087255815_Climatechangesurvey1.sav'.
DATASET NAME DataSet1 WINDOW=FRONT.