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+++++++Frequencies
Notes
Output Created 15-Dec-2011 17:40:03
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
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=sex age
educationalit basicneed usephone brandofcell
typesofphone purposeofusage internetwap
faouritewap situationusephone
condiationswitchoff annoyingphone
providelongbattery reasonableprices
/ORDER=ANALYSIS.
Resources Processor Time 00 00:00:00.047
Elapsed Time 00 00:00:00.047
Statistics
sex
age of
respondent
educational it
related
is this our basic
need use cell phone
which brand of
cell use
which type of
phone use
which pupose of
use cell phone
for what you
use internet
what is your
favourite wap
in what situation
you dont use
cell phone
in what
condiation u
switch off phone
in which
situation you
annoying cell
phone
what ce
provide you
battery
N Valid 50 50 50 50 50 50 50 50 50 50 50 50 50
Missing 0 0 0 0 0 0 0 0 0 0 0 0 0
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Frequency Table
sex
Frequency Percent Valid Percent
Cumulative
Percent
Valid male 36 72.0 72.0 72.0
female 14 28.0 28.0 100.0
Total 50 100.0 100.0
age of respondent
Frequency Percent Valid Percent
Cumulative
Percent
Valid less dn 17 1 2.0 2.0 2.0
18-20 14 28.0 28.0 30.0
21-23 31 62.0 62.0 92.0
24-26 4 8.0 8.0 100.0
Total 50 100.0 100.0
educational it related
Frequency Percent Valid Percent
Cumulative
Percent
Valid yes 22 44.0 44.0 44.0
no 26 52.0 52.0 96.0
4 2 4.0 4.0 100.0
Total 50 100.0 100.0
is this our basic need
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Frequency Percent Valid Percent
Cumulative
Percent
Valid yes 44 88.0 88.0 88.0
no 4 8.0 8.0 96.0
3 2 4.0 4.0 100.0
Total 50 100.0 100.0
use cell phone
Frequency Percent Valid Percent
Cumulative
Percent
Valid yes 48 96.0 96.0 96.0
no 2 4.0 4.0 100.0
Total 50 100.0 100.0
which brand of cell use
Frequency Percent Valid Percent
Cumulative
Percent
Valid nokia 31 62.0 62.0 62.0
samsung 9 18.0 18.0 80.0
apple 5 10.0 10.0 90.0
others 5 10.0 10.0 100.0
Total 50 100.0 100.0
which type of phone use
Frequency Percent Valid Percent
Cumulative
Percent
Valid touchph 17 34.0 34.0 34.0
sldeph 5 10.0 10.0 44.0
flipph 6 12.0 12.0 56.0
smartph 22 44.0 44.0 10 0.0
Total 50 100.0 100.0
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which pupose of use cell phone
Frequency Percent Valid Percent
Cumulative
Percent
Valid voice call 17 34.0 34.0 34.0
sms 20 40.0 40.0 74.0
internet 6 12.0 12.0 86.0
to show off 7 14.0 14.0 100.0
Total 50 100.0 100.0
for what you use internet
Frequency Percent Valid Percent
Cumulative
Percent
Valid news paper 5 10.0 10.0 10.0
weather shopping 5 10.0 10.0 20.0
travel service 1 2.0 2.0 22.0
others 39 78.0 78.0 100.0
Total 50 100.0 100.0
what is your favourite wap
Frequency Percent Valid Percent
Cumulative
Percent
Valid google 20 40.0 40.0 40.0
facebook 22 44.0 44.0 84.0
youtube 7 14.0 14.0 98.0
orkut 1 2.0 2.0 100.0
Total 50 100.0 100.0
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in what situation you dont use cell phone
Frequency Percent Valid Percent
Cumulative
Percent
Valid when you are getting bore 14 28.0 28.0 28.0
13 1 2.0 2.0 30.0
in emergency 17 34.0 34.0 64.0
missing some one 10 20.0 20.0 84.0
other issues 8 16.0 16.0 100.0
Total 50 100.0 100.0
in what condiation u switch off phone
Frequency Percent Valid Percent
Cumulative
Percent
Valid in class 24 48.0 48.0 48.0
at meeing 7 14.0 14.0 62.0
in mosque 11 22.0 22.0 84.0
others 8 16.0 16.0 100.0
Total 50 100.0 100.0
in which situation you annoying cell phone
Frequency Percent Valid Percent
Cumulative
Percent
Valid in office or at work 10 20.0 20.0 20.0
ina car or bus 9 18.0 18.0 38.0
mosque 17 34.0 34.0 72.0
others 14 28.0 28.0 100.0
Total 50 100.0 100.0
what cell provide you ong battery
Frequency Percent Valid Percent
Cumulative
Percent
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Valid nokia 34 68.0 68.0 68.0
apple 6 12.0 12.0 80.0
samsung 8 16.0 16.0 96.0
others 2 4.0 4.0 100.0
Total 50 100.0 100.0
which brand of cell ph give reasonable pricess
Frequency Percent Valid Percent
Cumulative
Percent
Valid nokia 36 72.0 72.0 72.0
samsung 5 10.0 10.0 82.0
china mobile 6 12.0 12.0 94.0
others 3 6.0 6.0 100.0
Total 50 100.0 100.0
Descriptives
Notes
Output Created 15-Dec-2011 17:40:13
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Missing Value Handling Definition of Missing User defined missing values are treated as
missing.
Cases Used All non-missing data are used.
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Syntax DESCRIPTIVES VARIABLES=sex age
educationalit basicneed usephone brandofcell
/STATISTICS=MEAN STDDEV MIN MAX.
Resources Processor Time 00 00:00:00.000
Elapsed Time 00 00:00:00.000
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
sex 50 1 2 1.28 .454
age of respondent 50 1 4 2.76 .625
educational it related 50 1 4 1.64 .693
is this our basic need 50 1 3 1.16 .468
use cell phone 50 1 2 1.04 .198
which brand of cell use 50 1 4 1.68 1.019
Valid N (listwise) 50
PPlot
Notes
Output Created 16-Dec-2011 00:10:41
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Date
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Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used For a given sequence or time series variable,
cases with missing values are not used in the
analysis. Cases with negative or zero values
are also not used, if the log transform is
requested.
Syntax PPLOT
/VARIABLES=sex age
/NOLOG/NOSTANDARDIZE
/TYPE=P-P
/FRACTION=BLOM
/TIES=MEAN
/DIST=NORMAL.
Resources Processor Time 00 00:00:01.654
Elapsed Time 00 00:00:01.670
Use From First observation
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = CURRENT
Maximum Number of Lags in
Autocorrelation or PartialAutocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation Plots
MXCROSS = 7
Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per Procedure
MXPREDICT = 1000
Treatment of User-Missing
Values
MISSING = EXCLUDE
Confidence Interval Percentage
Value
CIN = 95
Tolerance for Entering Variables
in Regression Equations
TOLER = .0001
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Maximum Iterative Parameter
Change
CNVERGE = .001
Method of Calculating Std. Errors
for Autocorrelations
ACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in Plots
Unspecified
Equations Include CONSTANT
Model Description
Model Name MOD_2
Series or Sequence 1 sex
2 age of respondent
Transformation None
Non-Seasonal Differencing 0
Seasonal Differencing 0
Length of Seasonal Period No periodicity
Standardization Not applied
Distribution Type Normal
Location estimated
Scale estimated
Fractional Rank Estimation Method Blom's
Rank Assigned to Ties Mean rank of tied values
Applying the model specifications from MOD_2
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Case Processing Summary
sex age of respondent
Series or Sequence Length 50 50
Number of Missing Values in the
Plot
User-Missing 0 0
System-Missing 0 0
The cases are unweighted.
Estimated Distribution Parameters
sex age of respondent
Normal Distribution Location 1.28 2.76
Scale .454 .625
The cases are unweighted.
sex
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This data shows that data is not normal and his tail is positive.
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Age of respondent
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This pp plot shows that the data is almost normal and its curved
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PPlot
Notes
Output Created 16-Dec-2011 00:11:08
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Date
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used For a given sequence or time series variable,
cases with missing values are not used in the
analysis. Cases with negative or zero values
are also not used, if the log transform is
requested.
Syntax PPLOT
/VARIABLES=sex age
/NOLOG
/NOSTANDARDIZE
/TYPE=Q-Q
/FRACTION=BLOM
/TIES=MEAN
/DIST=NORMAL.
Resources Processor Time 00 00:00:01.622
Elapsed Time 00 00:00:01.668
Use From First observation
To Last observation
Time Series Settings (TSET) Amount of Output PRINT = DEFAULT
Saving New Variables NEWVAR = CURRENT
Maximum Number of Lags in
Autocorrelation or Partial
Autocorrelation Plots
MXAUTO = 16
Maximum Number of Lags Per
Cross-Correlation Plots
MXCROSS = 7
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Maximum Number of New
Variables Generated Per
Procedure
MXNEWVAR = 60
Maximum Number of New Cases
Per Procedure
MXPREDICT = 1000
Treatment of User-Missing
Values
MISSING = EXCLUDE
Confidence Interval Percentage
Value
CIN = 95
Tolerance for Entering Variables
in Regression Equations
TOLER = .0001
Maximum Iterative Parameter
Change
CNVERGE = .001
Method of Calculating Std. Errors
for Autocorrelations
ACFSE = IND
Length of Seasonal Period Unspecified
Variable Whose Values Label
Observations in Plots
Unspecified
Equations Include CONSTANT
Model Description
Model Name MOD_3
Series or Sequence 1 sex
2 age of respondent
Transformation None
Non-Seasonal Differencing 0
Seasonal Differencing 0
Length of Seasonal Period No periodicity
Standardization Not applied
Distribution Type Normal
Location estimated
Scale estimated
Fractional Rank Estimation Method Blom's
Rank Assigned to Ties Mean rank of tied values
Applying the model specifications from MOD_3
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Case Processing Summary
sex age of respondent
Series or Sequence Length 50 50
Number of Missing Values in the
Plot
User-Missing 0 0
System-Missing 0 0
The cases are unweighted.
Estimated Distribution Parameters
sex age of respondent
Normal Distribution Location 1.28 2.76
Scale .454 .625
The cases are unweighted.
Sex
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This Q Q plot shows that the data is not normal and it has positive curve
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Age of respondent
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This QQ plot shows that data is almost normal and it has positive curve
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Graph
Notes
Output Created 16-Dec-2011 00:11:31
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/BAR(SIMPLE)=COUNT BY sex.
Resources Processor Time 00 00:00:00.390
Elapsed Time 00 00:00:00.468
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Male are more then females
Notes
Output Created 16-Dec-2011 00:11:53
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
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Syntax GRAPH
/BAR(SIMPLE)=COUNT BY sex.
Resources Processor Time 00 00:00:00.422
Elapsed Time 00 00:00:00.467
GRAPH
/BAR(SIMPLE)=COUNT BY age.
Graph
Notes
Output Created 16-Dec-2011 00:12:36
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/BAR(SIMPLE)=COUNT BY age.
Resources Processor Time 00 00:00:00.499
Elapsed Time 00 00:00:00.685
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In this graph shows that 21-23 respondent are more then others
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Graph
Notes
Output Created 16-Dec-2011 00:14:30
Comments
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Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/BAR(SIMPLE)=VALUE(sex).
Resources Processor Time 00 00:00:00.452
Elapsed Time 00 00:00:00.468
This graph shows that most of values falls in 1.0 and others 2.0
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Notes
Output Created 16-Dec-2011 00:15:16
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/BAR(SIMPLE)=VALUE(age) BY sex.
Resources Processor Time 00 00:00:00.483
Elapsed Time 00 00:00:00.516
Graph
Notes
Output Created 16-Dec-2011 00:16:05
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/BAR(SIMPLE)=VALUE(age).
Resources Processor Time 00 00:00:00.453
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Notes
Output Created 16-Dec-2011 00:16:05
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/BAR(SIMPLE)=VALUE(age).
Resources Processor Time 00 00:00:00.453
Elapsed Time 00 00:00:00.516
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This graph shows that most of age respondent are falls in 21-23
Graph
Notes
Output Created 16-Dec-2011 00:16:39
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight Split File
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N of Rows in Working Data File 50
Syntax GRAPH
/BAR(SIMPLE)=VALUE(sex) BY
educationalit.
Resources Processor Time 00 00:00:00.437
Elapsed Time 00 00:00:00.500
This graph shows 1 stand for male nd 2 stand for female most of the students are it realated to yes
Graph
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Notes
Output Created 16-Dec-2011 00:17:04
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/PIE=COUNT BY sex.
Resources Processor Time 00 00:00:00.499
Elapsed Time 00 00:00:00.624
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This graph shows male are more then females
Graph
Notes
Output Created 16-Dec-2011 00:17:31
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1Filter
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Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/PIE=COUNT BY age.
Resources Processor Time 00 00:00:00.437
Elapsed Time 00 00:00:00.485
This graph shows 21-23 age of respondent are more then others
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Graph
Notes
Output Created 16-Dec-2011 00:18:03
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/PIE=SUM(sex) SUM(age)
/MISSING=LISTWISE.
Resources Processor Time 00 00:00:00.453
Elapsed Time 00 00:00:00.469
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This graph shows sex in blue and age of respondent in green
Graph
Notes
Output Created 16-Dec-2011 00:18:32
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.savActive Dataset DataSet1
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Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/PIE=SUM(sex) SUM(age)
SUM(educationalit) SUM(basicneed)
/MISSING=LISTWISE.
Resources Processor Time 00 00:00:00.437
Elapsed Time 00 00:00:00.469
This graph shows that males are more age of respondent are falls in 21-23 and mostly related to education
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Graph
Notes
Output Created 16-Dec-2011 00:18:49
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/PIE=VALUE(sex).
Resources Processor Time 00 00:00:00.406
Elapsed Time 00 00:00:00.577
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This graph show there are 50 entries belong to different colours
Graph
Notes
Output Created 16-Dec-2011 00:19:29
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
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Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/PIE=VALUE(age).
Resources Processor Time 00 00:00:00.437
Elapsed Time 00 00:00:00.468
This graph show there are 50 entries belong to different colours
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Graph
Notes
Output Created 16-Dec-2011 00:20:01
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/PIE=VALUE(sex) BY age.
Resources Processor Time 00 00:00:00.452
Elapsed Time 00 00:00:00.483
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This graph shows most of the entries are fall between 21-23
Explore
Notes
Output Created 16-Dec-2011 00:20:53
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
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N of Rows in Working Data File 50
Missing Value Handling Definition of Missing User-defined missing values for dependent
variables are treated as missing.
Cases Used Statistics are based on cases with no missing
values for any dependent variable or factor
used.
Syntax EXAMINE VARIABLES=sex BY age
/PLOT=BOXPLOT
/STATISTICS=NONE
/NOTOTAL.
Resources Processor Time 00 00:00:00.422
Elapsed Time 00 00:00:00.483
Warnings
sex is constant when age of respondent = less dn 17. It will be included in any boxplots produced but
other output will be omitted.
sex is constant when age of respondent = 24-26. It will be included in any boxplots produced but other
output will be omitted.
age of respondent
Case Processing Summary
age of respondent
Cases
Valid Missing Total
N Percent N Percent N Percent
sex less dn 17 1 100.0% 0 .0% 1 100.0%
18-20 14 100.0% 0 .0% 14 100.0%
21-23 31 100.0% 0 .0% 31 100.0%
24-26 4 100.0% 0 .0% 4 100.0%
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sex
Explore
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Notes
Output Created 16-Dec-2011 00:21:16
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Missing Value Handling Definition of Missing User-defined missing values for dependentvariables are treated as missing.
Cases Used Statistics are based on cases with no missing
values for any dependent variable or factor
used.
Syntax EXAMINE VARIABLES=sex BY age
/PLOT=BOXPLOT
/STATISTICS=NONE
/NOTOTAL
/ID=educationalit.
Resources Processor Time 00 00:00:00.421
Elapsed Time 00 00:00:00.531
age of respondent
Case Processing Summary
age of respondent
Cases
Valid Missing Total
N Percent N Percent N Percent
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sex less dn 17 1 100.0% 0 .0% 1 100.0%
18-20 14 100.0% 0 .0% 14 100.0%
21-23 31 100.0% 0 .0% 31 100.0%
24-26 4 100.0% 0 .0% 4 100.0%
sex
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Explore
Notes
Output Created 16-Dec-2011 00:21:45
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Missing Value Handling Definition of Missing User-defined missing values for dependent
variables are treated as missing.
Cases Used Statistics are based on cases with no missing
values for any dependent variable or factor
used.
Syntax EXAMINE VARIABLES=sex age
/COMPARE VARIABLE
/PLOT=BOXPLOT
/STATISTICS=NONE
/NOTOTAL/MISSING=LISTWISE.
Resources Processor Time 00 00:00:00.421
Elapsed Time 00 00:00:00.485
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
sex 50 100.0% 0 .0% 50 100.0%
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age of respondent 50 100.0% 0 .0% 50 100.0%
Explore
Notes
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Output Created 16-Dec-2011 00:22:29
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Missing Value Handling Definition of Missing User-defined missing values for dependent
variables are treated as missing.
Cases Used Statistics are based on cases with no missing
values for any dependent variable or factor
used.
Syntax EXAMINE VARIABLES=sex BY age BY
educationalit
/PLOT=BOXPLOT
/STATISTICS=NONE
/NOTOTAL.
Resources Processor Time 00 00:00:00.452
Elapsed Time 00 00:00:00.500
Warnings
sex is constant when age of respondent = less dn 17, educational it related = yes. It will be included in
any boxplots produced but other output will be omitted.
sex is constant when age of respondent = 18-20, educational it related = 4. It will be included in any
boxplots produced but other output will be omitted.
sex is constant when age of respondent = 21-23, educational it related = 4. It will be included in any
boxplots produced but other output will be omitted.
sex is constant when age of respondent = 24-26, educational it related = yes. It will be included in any
boxplots produced but other output will be omitted.
sex is constant when age of respondent = 24-26, educational it related = no. It will be included in any
boxplots produced but other output will be omitted.
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age of respondent*educational it related
Case Processing Summary
age of respondent educational it related
Cases
Valid Missing Total
N Percent N Percent N Percent
sex less dn 17 Yes 1 100.0% 0 .0% 1 100.0%
18-20 Yes 7 100.0% 0 .0% 7 100.0%
No 6 100.0% 0 .0% 6 100.0%
4 1 100.0% 0 .0% 1 100.0%
21-23 Yes 13 100.0% 0 .0% 13 100.0%
No 17 100.0% 0 .0% 17 100.0%
4 1 100.0% 0 .0% 1 100.0%
24-26 Yes 1 100.0% 0 .0% 1 100.0%
No 3 100.0% 0 .0% 3 100.0%
sex
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Graph
Notes
Output Created 16-Dec-201100:23:05
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Output Created 16 Dec 2011 00:23:05
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/HISTOGRAM=sex.
Resources Processor Time 00 00:00:00.453
Elapsed Time 00 00:00:00.500
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Graph
Notes
Output Created 16-Dec-2011 00:23:21
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1
Filter
Weight
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55/57
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/HISTOGRAM=age.
Resources Processor Time 00 00:00:00.421
Elapsed Time 00 00:00:00.468
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56/57
Graph
Notes
Output Created 16-Dec-2011 00:23:55
Comments
Input Data C:\Users\Farrukh\Documents\Untitled1.sav
Active Dataset DataSet1Filter
Weight
Split File
N of Rows in Working Data File 50
Syntax GRAPH
/HISTOGRAM=educationalit.
Resources Processor Time 00 00:00:00.359
Elapsed Time 00 00:00:00.453
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Conclusion
I conduct a survey on cell phone in this survey I came to know that cell phone is a basic need of every one, different peo ple use different cell phone
Most of them use Nokia cell phone and they also prefer this brand to others, the requirement of the cell phone is according to their needs, those
People who use cell phone mostly people like smart phone and touch phone , youngsters do like texting more then calls and they enjoy to use internet from their cell
Phone. the internet wap they use is face book youngsters like and use this internet wap, this survey acknowledge me alots of thing about Nokia cell phone their
Prices are very reasonable and their battery timing are also good or long time as compare to others cell phone brand like Samsung, apple etc .