Full Report BR

7/23/2019 Full Report BR

http://slidepdf.com/reader/full/full-report-br 1/36

[BUSINESS RESEARCH]

BUSINESS RESEARCH

ASSIGNMENT (CBEB2105)

NO NAME MATRIC NO

1. ABDUL AZIM B BADRUL HISHAM CEA 120003

2. AHMAD SYAZWAN B AHMAD SHUKRI CEA 120007

3. NEZA AZIZI B AZLI CEA 120059

4.

5.

6.

7.

DATELINE : 28 MAY 2014

Table of Content

NO TITLE PAE

1 !UESTION 1 3"#

2 !UESTION 2 9"113 !UESTION 3 12"15

1



[BUSINESS RESEARCH]

4 !UESTION 4 16"1#

5 !UESTION 5 19"21

6 !UESTION 6 22"26

7 !UESTION 7 27"33

# !UESTION # 34"35

9 !UESTION 9 36"37

PART II: Data Analysis and Interpretation

Qestion 1

Perform frequency distribution with chart for the following variables and discuss the

results:

1! "e#

2



[BUSINESS RESEARCH]

$ender

Frequency Percent Valid Percent Cumulative

Percent

Valid

male 264 52! 5"2 5"2

female 2"2 464 46! #$$$%otal 4&6 &&2 #$$$

'issing (ystem 4 !%otal 5$$ #$$$

)ased on table above* there are 4&6 valid res+ondents with 4 missing value

,ut of 4&6 valid res+ondents* 264 valid res+ondents are male -t re+resents 52!.

out of 4&6 valid res+ondents %he rest 2"2 valid res+ondents are female and 464.

out of 4&6 valid res+ondents %here are 4 res+ondents do not state their gender

From the chart above* it shows that male res+ondents are more than female

res+ondents in this survey

2! Readers%ip o& t%e ne'spaper!

a! Ne' "traits Ti(es

Ne' "traits Ti(es


Percent

Valid yes 24# 4!2 4!" 4!"

no 25! 5#6 5#/ #$$$

3



[BUSINESS RESEARCH]

%otal 4&& &&! #$$$

'issing (ystem # 2

%otal 5$$ #$$$

)ased on the table above* there are 4&& valid res+ondents with # missing

value %here are 24# res+ondents or 4!2. state they read 0ew (traits %imes while

the remaining 25! res+ondents or 5#6. state they do not read 0ew (traits %imes

)! T%e "tar

T%e "tar


Percent

Valid

yes 225 45$ 45$ 45$

no 2/5 55$ 55$ #$$$

%otal 5$$ #$$$ #$$$

4



[BUSINESS RESEARCH]

%he table shows that there are 5$$ res+ondents with no missing value %here

are 225 res+ondents or 45. state that they read %he (tar while the rest 2/5

res+ondents or 55. do not read %he (tar

c *tsan Malaysia

*tsan Malaysia


Percent

Valid

yes 246 4&2 4&2 4&2

no 254 5$! 5$! #$$$

%otal 5$$ #$$$ #$$$

%he frequency distribution table shows that there are 5$$ res+ondents with no

missing value ,ut of 5$$ res+ondents* 246 res+ondents or 4&2. are the readers of

1tusan 'alaysia while the remaining 254 res+ondents or 5$!. are not the readers

of 1tusan 'alaysia

d! +erita ,arian

5



[BUSINESS RESEARCH]

+erita ,arian


Percent

Valid

yes 245 4&$ 4&$ 4&$

no 255 5#$ 5#$ #$$$

%otal 5$$ #$$$ #$$$

)ased on the figures above* there are 5$$ res+ondents with no missing value

,ut of 5$$ res+ondents* 245 res+ondents or 4&. state they read )erita arian while

the remaining 255 res+ondents or 5#. state they do not read )erita arian

-! Ra.e

et%i. $rop


Percent

Valid

'alay 255 5#$ 5#$ 5#$

Chinese #5! "#6 "#6 !26

-ndian /& #5! #5! &!4

others ! #6 #6 #$$$

%otal 5$$ #$$$ #$$$

6



[BUSINESS RESEARCH]

%here are 4 categories in this survey which are 'alay* Chinese* -ndian* and

,thers From the frequency distribution table* there are 5$$ res+ondents with no

missing value -n this survey* the ma3ority of res+ondents are 'alay -t re+resents

255 res+ondents or 5#. out of total valid res+ondents %here are #5! res+ondents

or "#6. are Chinese res+ondents while /& res+ondents or #5!. are -ndian

res+ondents ,nly ! res+ondents or #6. out of valid res+ondents choose others for

their race

4! /redit .ard

.redit .ard


Percent

Validyes !" #66 #/! #/!no "!2 /64 !22 #$$$

%otal 465 &"$ #$$$

'issing (ystem "5 /$

%otal 5$$ #$$$

7



[BUSINESS RESEARCH]

%he table above shows that only 465 valid res+ondents with "5 missing value

,ut of 465 valid res+ondents* there are !" res+ondents or #66. are the users of

credit card %he remaining "!2 res+ondents or /6!. state that they do not own

credit card %he chart indicates that the res+ondents are not using credit card than

the res+ondents are using it

Qestion 2

or t%ese aria)les a$e3 TT"AT53 rn (ean3 (edian3 (ode3 ran$e3 standard

deiation3 arian.e3 s6e'ness and 6rtosis and dis.ss t%e reslts!

a! A$e

"tatisti.sage

0Valid 5$$

'issing $'ean 26"2'edian 25$$'ode 25(td eviation /$"!Variance 4&5"2

(ewness ##6$

8



[BUSINESS RESEARCH]

(td rror of

(ewness#$&

7urtosis "665(td rror of

7urtosis

2#!

8ange 55

From the table above* the variable 9ge has a mean of 26"2 'edian and mode

have the same value which is 25 %he range for 9ge is 55 where the age of

res+ondents is ranged from #5 to /$ years old (tandard deviation and variance

measure how much the scores deviate from mean or average For 9ge standard

deviation is /$"! whereas variance is 4&5"2

(ewness and urtosis can reflect the sha+e of distribution (ewness

measures the symmetry of the distribution while urtosis measures the +eaedness;

of the distribution by looing the relative concentration of values in the centre of the

distribution For variable 9ge* mode is equal to median* and median is lower than mean

<mode = median > mean? -t indicates the distribution is +ositively sewed which

sewed to the right with the value of ##6$ -t shows the +ile u+ of scores on the left

side of chart

'eanwhile* it has also +ositive value of urtosis which is "665 -t indicates

that the distribution of 9ge has a shar+er +ea than normal bell@sha+ed distribution

)! TT"AT Total "atis&a.tion in Li&e5

9



[BUSINESS RESEARCH]

"tatisti.s%,%(9%

0Valid "66

'issing #"4'ean 42"$6

'edian 4"$$$'ode 4/$(td eviation 66"4$Variance 44$(ewness @462(td rror of

(ewness#2!

7urtosis @##5(td rror of

7urtosis254

8ange "5$

10



%he variable %,%(9% is the measure of satisfaction in life by using ten items in

(ection --- of the questionnaire with the scores ranged from #=very dissatisfied to

6=very satisfied

-t has a mean of 42"$6* median of 4"$* and mode of 4/$ %he range for 9ge

is "5$ with the minimum number of 2" to the maAimum number of 5! %he

standard deviation is $66"4$ whereas the variance is $44$

For variable %,%(9%* mode is higher than median* and the median is higher

than mean <mode B median B mean? -t indicates the distribution is negatively

sewed which sewed to the left with the value of @$462 -t shows the +ile u+ of

scores on the right side of chart

-n measuring the +eaedness; of the distribution* the variable %,%(9% has a

negative value of urtosis which is @$##5 -t indicates that the distribution of %,%(9%

is relatively flatter than normal bell@sha+ed distribution



Qestion -

Assess t%e relia)ility o& t%e &ollo'in$ s.ales:

1! "atis&a.tion in Li&e2! Moral "tandards

-! Reli$ios In.lination

/an t%e relia)ility o& t%e s.ales )e i(proed7

1! "atis&a.tion in Li&e

Relia)ility "tatisti.s

Cronbachs

9l+ha

0 of

-tems

/6$ #$

Ite(Total "tatisti.s

(cale 'ean if

-tem eleted

(cale

Variance if

-tem eleted

Corrected

-tem@%otal

Correlation

Cronbachs

9l+ha if -tem

eleted

money "!55 "4!!4 5$6 /2!

friends "//& "!//" "!5 /46

love

affairDromance

"!#/ "4556 46" /"5

3ob<if woring? "!#2 "5&// 45/ /"5

study "!"" "5&/& 42" /4$

relation "/"2 "!5!# "62 /4!leisure "!#$ "//!4 "&2 /45

a++earance "/!5 "/4/6 42# /4#

seAual life "!"5 "5/"4 "44 /56

material comfort "!#/ "62"! 52! /2!

-n reliability test* CronbachEs al+ha is a measure of internal consistency or

quality of items +ro+osed* which is how closely related a set of items are as a grou+

9s table 8eliability (tatistics; above shown* the value of CronbachEs 9l+ha is $/6$

-n most social science situations* reliability coefficient CronbachEs al+ha; of

$/$ or higher is considered acce+table; %hus in this case* the $/6$ CronbachEs

al+ha is acce+table -t indicates that all the #$ items to measure satisfaction in life

are reliable and closely related to each others



%herefore* there is no need for the reliability of the scales to be im+roved as

the CronbachEs 9l+ha of $/6$ indicates that (atisfaction in ife has a good internal

consistency

2! Moral "tandards


Cronbachs

9l+ha

0 of

-tems

62! !


(cale 'ean if

-tem eleted

(cale Variance

if -tem eleted

Corrected -tem@

%otal

Correlation

Cronbachs

9l+ha if -tem

eleted

wor quality "##" #&&&/ 4&" 55#

trustworthy "$&! #&&44 5/5 5"6

means "2$# 24!4& @$"" 6&!

filial +iety "$!& 2#/26 "2/ 5&6

authority "##" #&&&/ 4&" 55#

advice "$&! #&&44 5/5 5"6

womans life "$&/ 2$&&# "$& 6$$

marriage "$!! 2#/4! #2& 6/$

9s the table shown* the first reliability test for 'oral (tandards achieved the

CronbachEs 9l+ha of $62! For scientific research* the reliability coefficient of $6$ or

above is acce+table* but for social science research the reliability score of $/$ or

above is +referable %hus* the $62! CronbachEs 9l+ha in this case is considered as

a +oor internal consistency and the items +ro+osed are not really reliable

0eAt* we checed on the column headed Cronbach’s Alpha if Item Deleted to

see whether a higher value of CronbachEs 9l+ha could be achieved if any of the

items was to be removed 9s a result* we removed 9#5 <Gend 3ustifies the means?

as the deletion of this item can result in a higher CronbachEs 9l+ha value which is

$6&! %he following tables showed the im+rovements after deleting one item* 9#5

TTMR1 IMPR9EMENT" ATER REM9IN NE ITEM3 A1;5




Cronbachs

9l+ha

0 of

-tems

6&! /


(cale 'ean if

-tem eleted

(cale Variance

if -tem eleted

Corrected -tem@

%otal

Correlation

Cronbachs

9l+ha if -tem

eleted

wor quality 2/5/ #!5!2 5#5 6"/trustworthy 2/4" #!5&5 5&2 62"filial +iety 2/"" 2$#&! "54 6//authority 2/5/ #!5!2 5#5 6"/advice 2/4" #!5&5 5&2 62"

womans life 2/4# #&556 "25 6!/marriage 2/"2 2$#25 #5# /5/

9fter removing 9#5 the result showed that the CronbachEs 9l+ha was $6&!*

which indicated that the internal consistency of the items was good 9lthough $6&!

is still below $/$ but it was already very close to the ideal value of CronbachEs

9l+ha (o* we can conclude that the remaining seven items are closely related and

highly reliable in re+resenting the 'oral (tandards scale as a whole

-! Reli$ios In.lination


Cronbachs 9l+ha

0 of -tems

/// "


(cale 'ean if

-tem eleted

(cale Variance

if -tem eleted

Corrected

-tem@%otal

Correlation

Cronbachs

9l+ha if -tem

eleted

unlucy number &#6 4#!" "24 #$$$fengsui &25 2&!6 /&! 4!&



religion &25 2&!6 /&! 4!&

From table above* the CronbachEs 9l+ha is $/// which is considered

acce+table; in social science research From this result we can draw a conclusion

that the three items to measure religious inclination are highly reliable and closely

related to each others

%herefore* there is no need for the reliability of the scales to be im+roved as

the CronbachEs 9l+ha of $/// indicates that the scale of 8eligious -nclination has a

good internal consistency



Qestion 4

Perform the correlation analysis on the following variables: satisfaction in life, moral

standards, religious inclination* and age iscuss the results

Ans'er:

/orrelations

age

%,%(9

%

%,%8

%,%',8

#

age Pearson

Correlation

# #6#HH @$// @$5#

(ig <2@tailed? $$2 $!/ 25!

0 5$$ "66 5$$ 4&&

%,%(9% Pearson

Correlation#6#HH # #!2HH 24$HH

(ig <2@tailed? $$2 $$$ $$$

0 "66 "66 "66 "66

%,%8 Pearson

Correlation@$// #!2HH # /!/HH

(ig <2@tailed? $!/ $$$ $$$0 5$$ "66 5$$ 4&&

%,%',8

#

Pearson

Correlation@$5# 24$HH /!/HH #

(ig <2@tailed? 25! $$$ $$$

0 4&& "66 4&& 4&&

HH Correlation is significant at the $$# level <2@tailed?

%he table above shows the correlation analysis on satisfaction in life

<%,%(9%?* moral standards <%,%',8#?* religious inclination <%,%8?* and age

%he table consist of three main +oint which is Pearson correlation* significant level <2@

tailed? and the number of cases that has been used in correlation <0? %he significant

level <+? is the most im+ortant value to loo at because it determines either to acce+t

or to re3ect the null hy+othesis -f + is less than $$#* we re3ect the null hy+othesis

because there is a relationshi+ between two variables and are significance Pearson

correlation is used to describe the strength and direction of the linear relationshi+

between two variables %he values of the correlation coefficient range from @# to #%he sign of the correlation coefficient indicates the direction of the relationshi+



<+ositive or negative? %he absolute value of the correlation coefficient indicates the

strength* with larger absolute values indicating stronger relationshi+s %he correlation

coefficients on the main diagonal are always #* because each variable has a +erfect

+ositive linear relationshi+ with itself Correlation coefficients whose magnitude are

between $& and #$ indicate variables which can be considered very highly

correlated. Correlation coefficients whose magnitude are between $/ and $&

indicate variables which can be considered highly correlated. Correlation coefficients

whose magnitude are between $5 and $/ indicate variables which can be

considered moderately correlated. Correlation coefficients whose magnitude are

between $" and $5 indicate variables which have a low correlation. Correlation

coefficients whose magnitude are less than $" have little if any <linear? correlation

From the table we can see that is a relationshi+ between %,%(9% and

%,%8 is significant because the +@value is $$$$ which is lower than $$# and we

re3ect the null hy+othesis Pearson correlation shows that %,%(9% and %,%8

have a +ositive relationshi+ but it is relatively wea because the correlation value is

only $#!2 that is lower than $"$ Ie can mae a conclusion that the increase in the

religious inclination of the res+ondents will cause the satisfaction in life to increase

slightly

0eAt* we will loo at %,%(9% and %,%',8# which also have a significant

relationshi+ %he +@value is $$$$ and it is lower than $$# (o* we re3ect the null

hy+othesis %,%(9% and %,%',8# have a +ositive relationshi+ but it is a wea

+ositive relationshi+ because the correlation value is lower than $"$ which is only

$24$ Ie can conclude that the increase in the moral standards will cause the

satisfaction in life to increase slightly

%he third relationshi+ is between %,%(9% and age that is significant because

the +@value is $$$2 and it is lower than $$# %hus* we re3ect the null hy+othesis

owever* %,%(9% and age have the lowest +ositive relationshi+ where is correlation

value is lower than $"$ and it is only $#6# Ie can conclude that the increasing in

the age will affect the satisfaction in life increase slightly



(ince the +@value is $$$$ and it is lower than $$# the relationshi+ between

%,%',8# and %,%8 is significant (o* we re3ect the null hy+othesis %,%',8#

and %,%8 have the +ositive relationshi+ and it is relatively high where the

correlation value is $/!/ Ie can conclude that the increase in religious inclination

of the res+ondents will affect the moral standard increase significantly

For %,%8 and age* the significant level is $$!/ and it is higher than $$#

%herefore* we acce+t the null hy+othesis and there is not relationshi+ between

%,%8 and age (ame things goes to %,%',8# and age where is significant level

is $25! which eAceed $$# and we acce+t the null hy+othesis %here is no

relationshi+ between %,%',8# and age

Qestion ;

/rossta)lation et%ni. $rops ra.e15 'it% satis&a.tion in li&e $rops

TT"AT15! Is t%ere a relations%ip )et'een ra.es and satis&a.tion in li&e7

Dis.ss t%e reslts!



%here are two +roblems to be discussed in this section Firstly* the com+arison

of +ercentage of the variables and secondly* the significance of relationshi+ between

the variables First matter would be calculated using crosstabulation in (P(( while

another will be analyJed using Chi@(quare test

/rossta)lation

Crosstabulation is being used to establish an interde+endent relationshi+

between two tables of values which are the ethnics grou+s and satisfaction in life in

both values and +ercentage owever* it will not identify a causal relationshi+

between the values -n this case* we will see if there is any different of level of

satifaction between the different races

From the table* we can see that the total +ercentage for each level of

satisfaction within %,%(9%# is quite average which is about 2!@"6. %his means the

overall society is neither too satisfied nor eAtremely not satisfied owever* the result

shows that there are significant difference in each race category for their satisfaction

'alay are mostly satisfied with their lives as 4"!. of them have high satisfaction in

life



owever* -ndian * Chinese and ,thers have a different result com+are to

'alay 44&. of -ndian and ,thers and 4"!. of Chinese are having low satisfaction

towards their lives Ie can see difference from the com+arison between satisfaction

in life of different races and the significant of the difference would be measured as

below by using Chi@(quare %est

/%i"<are Test

Chi@(quare test is basically carried out in order to determine whether the

categorical variables are significantly related to each other -n this test* we will loo

into the Person Chi@(quare value and com+are it with the decided asym+totic

significance level < 9sym+(ig? to 3ustify the relationshi+ between variables -f the

values is less than the asym+totic significance level* the relationshi+ is significant

%he fact that the Pearson Chi@(quare value is $$$# and much less than $$5

that being decided to be significance level %his indicates that that the rows and

columns of the contingency are de+endent (o* we will re3ect the null hy+othesis

which stated that there is no relationshi+ between race and satisfaction in life

Kenerally* this means that it is worthwhile to inter+ret the cells in the contingency

table and it +roved that the relationshi+ is significant



-n conclusion* we can say that race will influence satisfaction in life of a

+erson %his might be because of his occu+ation* income* living bacground*

education or eA+osures to things ha++ened around through different news+a+ers

Q*E"TIN =

/rossta)late et%ni.s $rops ra.e15 'it% all ne'spaper! Is t%ere a relations%ip

)et'een ra.es and ne'spaper readers%ip7 Dis.ss t%e reslts!

Ne's "traits Ti(es



%he method used to determine the relationshi+ between these two variable are

the same as question 5 which we need to com+are the +ercentage of the variables

using crosstabulation and also analyJed them using the Chi@(quare test

From the crosstabulation table* it shows that more than half of 'alay does not

read the 0ew (raits %imes <0(%? news+a+er <5&#.? com+are to the Chinese and

-ndian L ,thers which ma3ority of them read 0(% <5"!. and 5&!. res+ectively?es+ite that* 'alay still the highest race reading the 0(% for the ethnic grou+ which

is 4"2. as they have higher +o+ulation com+are to others <5$&.? %he Chinese*

-ndian L ,thers have a lower +o+ulation <"#/. and #/4. res+ectively?* thus have

least number of reader for 0(%

For the Chi@(quare %ests* we can see that 9sym+ (ig of Pearson Chi@(quare

shows $$$2 significance level which is much more lower than $$5 %hus* it shows

that races does affect oneEs readershi+ of 0(%



T%e "tar

)y looing at the result from the crosstabulation table* we can see that

ma3ority of 'alay does not read %he (tar news+a+er <66".? com+are to the

Chinese and -ndian L ,thers 'ore than half of the Chinese read %he (tar <55#.?

while -ndian L ,thers mae u+ the highest readers which is 5&!. For the ethnic

grou+* the Chinese have the highest amount of readers <"!/.? than 'alay* -ndian L

,thers which is "!2. and 2"#. res+ectively

From the Chi@(quare %ests* 9sym+ (ig +f Paerson Chi@(quare shows $

significance level* thus less than $$5 -t can be said that the relationshi+ between

races and oneEs readershi+ of %he (tar is highly related and significance

*tsan Malaysia



From the crosstabulation table* it shows that 'alay are the highest reader for

the 1tusan 'alaysia news+a+er </4&.? com+are to other races which ma3ority of

them does not read this news+a+er 'ore than half of -ndian L ,thers together does

not read it <56".? while the Chinese are the highest race who does not favour this

news+a+er <!&2.? ue to that* it is no sur+rise that among the ethnic grou+* 'alay

have the highest reader <//6.? com+are to the other races

For the Chi@(quare %est* the 9sym+ (ig of Pearson Chi@(quare shows $

which is less than significance level of $$5 %his indicates that the relation of both

race and oneEs readershi+ of 1tusan 'alaysia is highly and significantly related

+erita ,arian



From the crosstabulation table* we can see that again 'alay are the ma3ority

reader for )erita arian news+a+er with /"/. com+are to the other race that have

least reader %he Chinese and -ndian L ,ther mae u+ big +ortion of reader who

does not read )erita arian which is !$4. and /$#. res+ectively For the ethnic

grou+* the result also the same as 'alay have highest reader of this news+a+er

which is /6/. com+are to the Chinese and -ndian L ,thers

%he 9sym+ (ig of Pearson Chi@(quare shows $ significance level which is

much lower than $$5 %hus* this indicates that it is highly and significantly related

between races and oneEs readershi+ of )erita arian

)ased on these results* it can be concluded that the Chinese and -ndian L

,thers have the same +reference of reading news+a+er while 'alay have the

o++osite +reference %his might be due to some factors such as 'alay are more

+refer to read news+a+er that used their own language since it can +rovide a better

understanding and also the fact that 'alay are not a native nglish s+eaer com+are

to Chinese and -ndian L ,thers )esides that* it is also can be said that since the



Chinese and -ndian L ,thers have the same level of +reference or level of

satisfaction in life* there can be a indirect relationshi+ between races and satisfaction

in life

Q*E"TIN >

Per&or( a statisti.al test to see se# di&&eren.es 'it% respe.t to all t%e ite(s in

t%e satis&a.tion in li&e s.ale! Dis.ss t%e reslts!



-n order to com+are the means of two sam+les <seAes?* we have used t@test* even

they have different numbers of re+licates -n other words* the t@test com+ares the

actual difference between two means in relation to the variation in the data

<eA+ressed as the standard deviation of the difference between the means?

)ased on the Krou+ (tatistics table above* it shows the differences of mean

and standard deviation between seA <male and female? and all items related

satisfaction in life which are money* friends* romance* 3ob* study* relation with

+artners* leisure* +hysical a++earance* seAual relation and material comfort

%his gives the descri+tive statistics for each of the two grou+s <as defined by

the grou+ing variable? 9s eAam+le in this result* there are 264 males in the

section<0?* and they have* on average 44/ choose friends* with a standard deviation

of #$#/ %here are 2"2 females section <0?* and they have on average* 44& choose

friends* with a standard deviation of $!!" (o* we can say that female +artici+ants

are feeling friends give satisfaction in life rather than male +artici+ants

rop "tatisti.s

gender 0 'ean

(td

eviation

(td rror

'ean

money male 264 "5& #"42 $!"female 2"# "/& ##// $//

friends male 264 44/ #$#/ $6"

female 2"2 44& !!" $5!

love affair male 262 4$& #"!4 $!5

female 2"$ 4#" #""" $!!

3ob male 2#5 4#5 ##!6 $!#

female #!" 4#/ #25" $&"

study male 264 "&" #266 $/!

female 2"$ 4$6 #2"5 $!#

relation with+arents

male 264 4&4 &2# $5/female 2"2 5$& &5& $6"

leisure male 264 42# #$!! $6/

female 2"# 42/ #$/& $/#

+hysical

a++earance

male 26" 45# #$/" $66

female 2"# 44$ &&& $66

seAual life male 2"! "&& #455 $&4

female 2#2 "!5 #4&! #$"

material comfort male 26$ 4$" #$/2 $66

female 2"$ 42" #$46 $6&



%he -nde+endent (am+les t@test as below is used to see if two means are

different from each other when the two sam+les that the means are based on were

taen from different individualsM different grou+s of +eo+le <males and females? who

have not been matched as shown in table above

Ihen there is similar variance between male and female by checing the

results of evineEs %est for quality of Variances -f the variances are equal in both

grou+s* then the significant value will be greater than $$5 owever* if the significant

value is equal or less than $$5* the variance is unequal -f the variance is unequal*

the qual variances not assumed column will be used and if the variance is equal*

the qual variances not assumed will be used For study* the variance the significant

value level is $/!6 which is greater than $$5* the variances is acce+ted

Independent "a(ples Test

evenes

%est for

quality of

Variances t@test for quality of 'eans

F (ig t df

(ig

<2@

taile

d?

'ean

iffer

ence

(td

rror

iffe

renc

e

&5.

Confidence

-nterval of

the

ifference

owe

r

1++

er

money qual

variance

s

assumed

/64& $$6 @#/5/ 4&" $/& @2$# ##4 @425 $24



qual

variance

s not

assumed

@#//" 4&2&&! $// @2$# ##" @42" $22

friends qual

variance

s

assumed

#!$# #!$ @252 4&4 !$# @$22 $!6 @#&# #4/

qual

variance

s not

assumed

@254 4&"&"" /&& @$22 $!5 @#!& #46

love affair qual

variance

s

assumed

#5& 6&$ @"5# 4&$ /26 @$4" #2" @2!5 #&!

qual

variance

s not

assumed

@"52 4!5/!! /25 @$4" #2" @2!4 #&!

3ob qual

variance

s

assumed

!&! "44 @#6! "&6 !6/ @$2# #22 @26# 22$

qual

variance

s not

assumed

@#6/ "/!"6& !6/ @$2# #2" @262 22#

study qual

variance

s

assumed

$/" /!6 @##// 4&2 24$ @#"" ##" @"55 $!&

qual

variance

s notassumed

@##/& 4!5/// 2"& @#"" ##" @"54 $!&



relation with

+arents

qual

variance

s

assumed

425 5#5 @#/"! 4&4 $!" @#4/ $!4 @"#" $#&

qual

variance

s not

assumed

@#/"" 4!$2$# $!4 @#4/ $!5 @"#" $2$

leisure qual

variance

s

assumed

#&! 656 @65& 4&" 5#$ @$64 $&! @256 #2/

qual

variance

s not

assumed

@66$ 4!5"/4 5#$ @$64 $&! @256 #2/

+hysical

a++earance

qual

variance

s

assumed

$#5 &$4 ##$$ 4&2 2/2 #$" $&4 @$!# 2!/

qual

variance

s not

assumed

##$5 4&$"24 2/$ #$" $&" @$!$ 2!6

seAual life qual

variance

s

assumed

#5#/ 2#& #$2" 44! "$/ #4" #"& @#"# 4#6

qual

variance

s not

assumed

#$2# 4"!!4" "$! #4" #4$ @#"2 4#/

material comfort qual

variance

s

assumed

#4&5 222 @2$!$ 4!! $"! @2$$ $&6 @"!! @$##



qual

variance

s not

assumed

@2$!4 4!"2&5 $"! @2$$ $&6 @"!! @$##

%he %@%est for equality of means indicate that the significant value which is

equal or less than P=$$5 means significant difference in mean score Ihile* if value

more than P= $$5* there is no significant difference between 2 grou+s -n %@%est for

equality of means significant 2 tail value* money has $$/ values which B P=$5

means significant difference in mean score occurs

Ie decide to acce+t $: there is no difference that money gives satisfaction of

life between male and female 9s before* the decision rule is given by: $$/ is not

less than or equal to $5* so we fail to re3ect $

%hat im+lies that we success to observe there is no difference in satisfaction of

life is money between the male and female From the data shown as above* we can

see from the (ig <2@tailed? all the items for (ig value are score more than $$5

eA+ect the item 'aterial comfort

-n conclusion* we can conclude that money* friends* +hysical a++earance*

romance* seAual relation* relation with +artners* leisure* study and 3ob give

satisfaction in life are statistically not significantly different with seA variable eA+ect

the item 'aterial comfort ,nly material comfort gives different level of satisfaction in

life between male and female



Q*E"TIN 8

Per&or( a statisti.al test to see (arital stats $rop di&&eren.es (arital15 'it%

respe.ts to all t%e ite(s in t%e reli$ios in.lination! Dis.ss t%e reslts!

From the %he test of omogeneity of variance table below shows that the significant

values of the all items in religious inclination variables are more than $$5 Ie can

say that* the variable are not violated the assum+tion of homogeneity of variance

Test o& ,o(o$eneity o& 9arian.es

evene

(tatistic df# df2 (ig

<r? unlucy no 6#5 2 4!! 54#<r? fengsui #$!/ 2 4!! ""!<r?religion

im+ortant#$!/ 2 4!! ""!



AN9A

(um of

(quares df

'ean

(quare F (ig

<r? unlucy no )etween

Krou+s5$6 2 25" 2$! !#2

Iithin Krou+s 5&"/$2 4!! #2#/

%otal 5&42$! 4&$

<r? fengsui )etween

Krou+s#&52 2 &/6 &"5 "&"

Iithin Krou+s 5$&62$ 4!! #$44

%otal 5##5/2 4&$

<r? religion

im+ortant

)etween

Krou+s#&52 2 &/6 &"5 "&"

Iithin Krou+s 5$&62$ 4!! #$44

%otal 5##5/2 4&$

T%e one'ay analysis o& arian.e AN9A5 is sed to deter(ine '%et%er t%ere

are any si$ni&i.ant di&&eren.es )et'een $rops (eans on dependent aria)les!8es+ondents were classified into " grou+s based on their marital status* which are

Krou+ # is (ingle* Krou+ 2 is married without children* and Krou+ " is married with

children %here are three items were used to measure religious inclination which is an

unlucy numberofthe house or car registration number* Fengsui or Keomancy and

religion

From the result of the 90,V9 table above* we can say that there is no

significant difference about the means between religious inclinations for the " grou+s

of marital status <marital#? %his is because the significant values show all the items

of religious inclination scale are more than $$5

-f we loo at the significant value of the unlucy number of the house or car

registration number on the 9nova table above* the results show that* the P@value is

$!#2 which is higher that $$5 iewise with Fengsui or Keomancy and religion

)oth two items show the result of P@Value are $"&" which higher than $$5 -ts

indicate that or giving the meaning that there is no significant difference between

these three items and marital status

%herefore* we conclude that there is no significant difference about the means

between the marital status <marital #? and religious inclination* which we acce+t the



null hy+othesis because the +@values of each item of religious inclination and marital

status <marital #? are more than $$5 and we re3ect the alternative hy+othesis

Qestion ?

1sing the following variables* +erform a regression analysis and discuss the results:

e+endent= (atisfaction in life

-nde+endent= 'oral standardsM religious inclination

Model "((ary)

Model R R "<are Adjusted R

Square

"td! Error o& t%e

Esti(ate

1 !24-a !0;? .054 !=4;-=

a! Predi.tors: /onstant53 TTREL3 TTMR1)! Dependent 9aria)le: TT"AT

9ccording to the 'odel (ummary table above* 9d3usted 8 (quare is $$54 -t

means that 54. of total variance in the satisfaction in life is eA+lained by the model

which includes the variables of moral standards and religious inclination



AN9Aa

Model "( o&

"<ares

d& Mean

"<are

Sig.

1

Re$ression ?!4;1 2 4!>2= 11!-4= .000 b

Residal 1;1!18= -=- !41=

Total 1=0!=-> -=;

a! Dependent 9aria)le: TT"AT)! Predi.tors: /onstant53 TTREL3 TTMR1

)ased on the 90,V9 table above* the significance value is $$$$ which is

lower than $$5 %herefore* the figure $$$$ less than $$5 indicates that this model is

statistical significant

/oe&&i.ientsa

Model *nstandardi@ed

/oe&&i.ients

Standardize

d

Coefficients

t

+ "td! Error Beta

1

/onstant5 -!2=> !20? 1;!=-2

TTMR1 !2;- !080 .285 -!14>

TTREL !041 !0=? -.053 !;8?

a! Dependent 9aria)le: TT"AT

%he out+ut above shows that the beta of moral standards is $2!5 while the

beta of religious inclination is @$$5" %he +ositive beta shows that moral standards

has a +ositive relationshi+ with satisfaction in life %he negative beta shows that

religious inclination has a negative relationshi+ with satisfaction in life

%he significance value of moral standards is $$$2 which shows that it

statistically significant to the satisfaction in life because its +@value less than $$5

8eligious inclination has significance value of $556 which indicates that it not

significant to the satisfaction in life since its +@value bigger than $$5

For the recommendation* you have to increase moral standards if you want to

have satisfaction in life because the higher the beta* the stronger the relationshi+



)esides that* we also suggest to eliminate religious inclination because it may be

overla+ with other inde+endent variables in this model

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