Descriptive Statistics and Analysis for Cyberbullying Study

This report presents the descriptive statistics and analysis for a study on cyberbullying. The report includes frequency tables, graphs, crosstabs, and t-tests to analyze the data. The study examines the relationship between gender, cyberbullying, exam marks, and hours of sleep.

FREQUENCIES VARIABLES=Gender Cyberbullied
/ORDER=ANALYSIS.
Frequencies
Notes
Output Created 11-APR-2018 19:25:35
Comments
Input
Data H:\Iishika\April\704461
(Cyberbullying)\704461.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 40
Missing Value Handling
Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics are based on all cases
with valid data.
Syntax
FREQUENCIES
VARIABLES=Gender
Cyberbullied
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.01
[DataSet1]
Statistics
Gender Cyberbullied
N Valid 40 40
Missing 0 0

Frequency Table
Gender
Frequency Percent Valid Percent Cumulative
Percent
Valid
Male 14 35.0 35.0 35.0
Female 26 65.0 65.0 100.0
Total 40 100.0 100.0
Cyberbullied
Frequency Percent Valid Percent Cumulative
Percent
Valid
No 7 17.5 17.5 17.5
Yes 33 82.5 82.5 100.0
Total 40 100.0 100.0
GRAPH
/BAR(SIMPLE)=COUNT BY Gender.
Graph
Notes
Output Created 11-APR-2018 19:26:14
Comments
Input Data H:\Iishika\April\704461
(Cyberbullying)\704461.sav
Active Dataset DataSet1
Filter <none>

Weight <none>
Split File <none>
N of Rows in Working Data File 40
Syntax
GRAPH
/BAR(SIMPLE)=COUNT BY
Gender.
Resources Processor Time 00:00:00.28
Elapsed Time 00:00:00.28
[DataSet1]
GRAPH
/PIE=PCT BY Cyberbullied.

Graph
Notes
Output Created 11-APR-2018 19:26:49
Comments
Input
Data H:\Iishika\April\704461
(Cyberbullying)\704461.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 40
Syntax GRAPH
/PIE=PCT BY Cyberbullied.
Resources Processor Time 00:00:00.17
Elapsed Time 00:00:00.17
[DataSet1]

FREQUENCIES VARIABLES=Exam_Marks
/FORMAT=NOTABLE
/NTILES=4
/STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM MEAN MEDIAN MODE SUM SKEWNESS SESKEW KURTOSIS SEKURT
/ORDER=ANALYSIS.
Frequencies
Notes
Output Created 11-APR-2018 19:27:51
Comments

Input
Data H:\Iishika\April\704461
(Cyberbullying)\704461.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 40
Missing Value Handling
Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics are based on all cases
with valid data.
Syntax
FREQUENCIES
VARIABLES=Exam_Marks
/FORMAT=NOTABLE
/NTILES=4
/STATISTICS=STDDEV
VARIANCE RANGE MINIMUM
MAXIMUM MEAN MEDIAN
MODE SUM SKEWNESS
SESKEW KURTOSIS SEKURT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.06
[DataSet1]
Statistics
Exam_Marks
N Valid 40
Missing 0
Mean 55.73
Median 50.00
Mode 25a
Std. Deviation 24.530
Variance 601.743
Skewness .299
Std. Error of Skewness .374

Kurtosis -1.353
Std. Error of Kurtosis .733
Range 78
Minimum 21
Maximum 99
Sum 2229
Percentiles
25 33.25
50 50.00
75 81.50
a. Multiple modes exist. The smallest value is
shown
* Chart Builder.
GGRAPH
/GRAPHDATASET NAME="graphdataset" VARIABLES=Exam_Marks MISSING=LISTWISE REPORTMISSING=NO
/GRAPHSPEC SOURCE=INLINE.
BEGIN GPL
SOURCE: s=userSource(id("graphdataset"))
DATA: Exam_Marks=col(source(s), name("Exam_Marks"))
DATA: id=col(source(s), name("$CASENUM"), unit.category())
GUIDE: axis(dim(2), label("Exam_Marks"))
ELEMENT: schema(position(bin.quantile.letter(1*Exam_Marks)), label(id))
END GPL.
GGraph
Notes
Output Created 11-APR-2018 19:28:56
Comments
Input
Data H:\ 704461.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 40

Syntax
GGRAPH
/GRAPHDATASET
NAME="graphdataset"
VARIABLES=Exam_Marks
MISSING=LISTWISE
REPORTMISSING=NO
/GRAPHSPEC
SOURCE=INLINE.
BEGIN GPL
SOURCE:
s=userSource(id("graphdataset")
)
DATA:
Exam_Marks=col(source(s),
name("Exam_Marks"))
DATA: id=col(source(s),
name("$CASENUM"),
unit.category())
GUIDE: axis(dim(2),
label("Exam_Marks"))
ELEMENT:
schema(position(bin.quantile.lett
er(1*Exam_Marks)), label(id))
END GPL.
Resources Processor Time 00:00:00.45
Elapsed Time 00:00:00.50
[DataSet1]

FREQUENCIES VARIABLES=Hours_of_Sleep
/FORMAT=NOTABLE
/NTILES=4
/STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM MEAN MEDIAN MODE SUM SKEWNESS SESKEW KURTOSIS SEKURT
/ORDER=ANALYSIS.
Frequencies
Notes
Output Created 11-APR-2018 19:29:23
Comments

Input
Data H:\ 704461.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 40
Missing Value Handling
Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics are based on all cases
with valid data.
Syntax
FREQUENCIES
VARIABLES=Hours_of_Sleep
/FORMAT=NOTABLE
/NTILES=4
/STATISTICS=STDDEV
VARIANCE RANGE MINIMUM
MAXIMUM MEAN MEDIAN
MODE SUM SKEWNESS
SESKEW KURTOSIS SEKURT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
[DataSet1]
Statistics
Hours_of_Sleep
N Valid 40
Missing 0
Mean 6.53
Median 7.00
Mode 7
Std. Deviation 1.754
Variance 3.076
Skewness .121
Std. Error of Skewness .374
Kurtosis -.785

Std. Error of Kurtosis .733
Range 6
Minimum 4
Maximum 10
Sum 261
Percentiles
25 5.00
50 7.00
75 7.75
* Chart Builder.
GGRAPH
/GRAPHDATASET NAME="graphdataset" VARIABLES=Hours_of_Sleep MISSING=LISTWISE REPORTMISSING=NO
/GRAPHSPEC SOURCE=INLINE.
BEGIN GPL
SOURCE: s=userSource(id("graphdataset"))
DATA: Hours_of_Sleep=col(source(s), name("Hours_of_Sleep"))
DATA: id=col(source(s), name("$CASENUM"), unit.category())
GUIDE: axis(dim(2), label("Hours_of_Sleep"))
ELEMENT: schema(position(bin.quantile.letter(1*Hours_of_Sleep)), label(id))
END GPL.
GGraph
Notes
Output Created 11-APR-2018 19:29:46
Comments
Input
Data H:\ 704461.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 40

Syntax
GGRAPH
/GRAPHDATASET
NAME="graphdataset"
VARIABLES=Hours_of_Sleep
MISSING=LISTWISE
REPORTMISSING=NO
/GRAPHSPEC
SOURCE=INLINE.
BEGIN GPL
SOURCE:
s=userSource(id("graphdataset")
)
DATA:
Hours_of_Sleep=col(source(s),
name("Hours_of_Sleep"))
DATA: id=col(source(s),
name("$CASENUM"),
unit.category())
GUIDE: axis(dim(2),
label("Hours_of_Sleep"))
ELEMENT:
schema(position(bin.quantile.lett
er(1*Hours_of_Sleep)), label(id))
END GPL.
Resources Processor Time 00:00:00.14
Elapsed Time 00:00:00.21
[DataSet1]

CROSSTABS
/TABLES=Cyberbullied BY Gender
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ
/CELLS=COUNT
/COUNT ROUND CELL
/BARCHART.
Crosstabs
Notes

Output Created 11-APR-2018 19:30:14
Comments
Input
Data H:\ 704461.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 40
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=Cyberbullied BY
Gender
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ
/CELLS=COUNT
/COUNT ROUND CELL
/BARCHART.
Resources
Processor Time 00:00:00.27
Elapsed Time 00:00:00.20
Dimensions Requested 2
Cells Available 174762
[DataSet1]
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Cyberbullied * Gender 40 100.0% 0 0.0% 40 100.0%

Cyberbullied * Gender Crosstabulation
Count
Gender Total
Male Female
Cyberbullied No 3 4 7
Yes 11 22 33
Total 14 26 40
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Exact Sig. (2-
sided)
Exact Sig. (1-
sided)
Pearson Chi-Square .230a 1 .631
Continuity Correctionb .002 1 .965
Likelihood Ratio .225 1 .635
Fisher's Exact Test .679 .471
Linear-by-Linear Association .224 1 .636
N of Valid Cases 40
a. 2 cells (50.0%) have expected count less than 5. The minimum expected count is 2.45.
b. Computed only for a 2x2 table

T-TEST GROUPS=Cyberbullied(1 2)
/MISSING=ANALYSIS
/VARIABLES=Exam_Marks
/CRITERIA=CI(.95).
T-Test
Notes
Output Created 11-APR-2018 19:30:53
Comments
Input Data H:\ 704461.sav

Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 40
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=Cyberbullied(1 2)
/MISSING=ANALYSIS
/VARIABLES=Exam_Marks
/CRITERIA=CI(.95).
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.01
[DataSet1]
Group Statistics
Cyberbullied N Mean Std. Deviation Std. Error Mean
Exam_Marks No 7 45.71 13.805 5.218
Yes 33 57.85 25.905 4.509
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
Exam_Marks Equal variances assumed 8.489 .006 -1.195 38 .239 -12.134 10.152 -32.686 8.418
Equal variances not assumed -1.760 16.577 .097 -12.134 6.896 -26.713 2.444

T-TEST GROUPS=Cyberbullied(1 2)
/MISSING=ANALYSIS
/VARIABLES=Hours_of_Sleep
/CRITERIA=CI(.95).
T-Test
Notes
Output Created 11-APR-2018 19:31:16
Comments
Input
Data H:\ 704461.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 40
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=Cyberbullied(1 2)
/MISSING=ANALYSIS
/VARIABLES=Hours_of_Sleep
/CRITERIA=CI(.95).
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.02
[DataSet1]
Group Statistics
Cyberbullied N Mean Std. Deviation Std. Error Mean

Hours_of_Sleep No 7 7.14 2.116 .800
Yes 33 6.39 1.676 .292
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
Hours_of_Sleep Equal variances assumed .257 .615 1.027 38 .311 .749 .729 -.728 2.225
Equal variances not assumed .880 7.678 .406 .749 .851 -1.228 2.726