The two tables represent the chi square formula that we used in order for us to
determine if there is a relationship between the Gender and the English Language. We
used eleven (11) factors that are commonly experience by a student that cause for them
too hard to learn how to be used English Language Properly.
TABLE 3 CHI SQUARE Interpretation in Female Respondents
FACTORS
OBSERVED EXPECTED RESIDUAL
(OBSERVEDEXPECTED)^2
COMPONENT
ATTITUDE
14
21
-7
49
2.33
CONFIDENCE
38
41
-3
9
0.22
ENVIRONMENT
21
17.42
3.58
12.8164
0.74
GRAMMAR
34
36.90
-2.90
8.41
0.23
KNOWLEDGE
27
26.13
0.87
0.7569
0.03
PEER PRESSURE
20
17.93
2.07
4.2849
0.24
PERSONALITY
16
13.83
2.17
4.7089
0.34
PRONUNCIATION
32
30.23
1.77
3.1329
0.10
PSYCHOLOGICAL
ISSUES
36
31.76
4.24
17.9776
0.57
TEACHER
COMPETENCE
19
23.06
-4.06
16.4836
0.71
SOCIAL ISSUES
12
9.74
2.26
5.1076
0.52
TOTAL
269
269
0
131.6788
6.03
In this table, it shows what factors that a female student experience the most in
using English Language. Moreover, we average the top 5 factors based on the tally
scored that we collect on our survey questionnaire. As the result on the survey that we
conduct, the factors that is commonly experienced by the Female student is the
CONFIDENCE this factor got 38 responses out of 50 respondents it means to say that
this factor got a 76%. The second one is the PSYCHOLOGICAL ISSUES, this factor got
36 responses out of 50 respondents also this factor got an average of 72%. The third
one is the GRAMMAR, this factor with 34 responses out of 50 respondents in an
average of 68%. The fourth one is PRONUNCIATION; this factor got 32 responses out
of 50 respondents and got an average of 64%. And lastly the fifth factor is
KNOWLEDGE; this factor got 27 responses out of 50 respondents and got an average
of 54%. These five factors that we considered the most is based on the tally score on
our survey.
TABLE 3.1 CHI SQUARE Interpretation in Male Respondents
FACTORS
OBSERVED EXPECTED RESIDUAL
(OBSERVEDEXPECTED)^2
COMPONENT
ATTITUDE
27
19.99
7.01
49.1401
2.46
CONFIDENCE
42
39.01
2.99
8.9401
0.23
ENVIRONMENT
13
16.58
-3.58
12.8164
0.77
GRAMMAR
38
35.11
2.89
8.3521
0.24
KNOWLEDGE
24
24.87
-0.87
0.7569
0.03
PEER PRESSURE
15
17.07
-2.07
4.2849
0.25
PERSONALITY
11
13.17
-2.17
4.7089
0.36
PRONUNCIATION
27
28.77
-1.77
3.1329
0.11
PSYCHOLOGICAL
ISSUES
26
30.23
-4.23
17.8929
0.59
TEACHER
COMPETENCE
26
21.94
4.06
16.4836
0,75
SOCIAL ISSUES
7
9.26
-2.26
5.1076
0.55
TOTAL
256
256
0
131.6164
6.34
In this table, it shows what factors that a Male student experience and suffering
the most in using English Language. Moreover, we average the top 5 factors based on
the tally scored that we collect on our survey questionnaire. As the result on the
tabulation that we did, the First factors that is commonly experienced by the Male
student is the CONFIDENCE this factor got 42 responses out of 50 respondents it
means to say that this factor got an average of 84%. The second one is the
GRAMMAR, this factor got 38 responses out of 50 respondents also this factor got an
average of 76%. In the third rank, there is an equal response this two factors that got an
equal response are the PRONUNCIATION and ATTITUDE, these two factors got 27
responses out of 50 respondents and got an average of 54%. Also in the fourth rank,
there is an equal percentage this two factors are PSYCHOLOGICAL ISSUES,
TEACHER COMPETENCE these two factors got 26 responses out of 50 respondents
and got an average of 52%. And lastly the fifth factor is KNOWLEDGE; this factor got 24
responses out of 50 respondents and got an average of 48%. These five factors that we
considered the most is based on the tally score on our survey.
In this Table, it appears the result of the computation of Chi square formula or the
Contingency formula that we used. The result of our computation each factor will help a
lot for us to identity if we can get a large sample of Chi square or a small sample of chi
square, if we get a small sample it means to say that there is a relationship between the
Gender and English Language Difficulty. However, if we get a large sample of Chi
square it means to say that there is no relationship between the two variables.
TABLE 4 The Comparability Analysis of Gender and Factors
Attitu
de
Confid
ence
FEMALE
2.33
0.22
MALE
2.46
TOTAL
4.79
Environ
ment
Gramm
ar
Knowle
dge
Peer
Press
ure
Person
ality
Pronu
nciati
on
Psych
ologic
al
Issues
Teache
r
Compet
ence
Social
Issues
0.74
0.23
0.03
0.24
0.34
0.10
0.57
0.71
0.52
6.03
0.23
0.77
0.24
0.03
0.25
0.36
0.11
0.59
0.75
0.55
6.34
0.45
1.51
0.47
0.06
0.49
0.70
0.21
1.16
1.46
1.07
12.37
As a result of the computation that we did to be able to determine if there is a
relationship or there isn’t between the two variables. We sum all the result of each
factors based on the formula that we used. After we sum the result of female and male
components, we got a chi-square critical value of 12. 37. This critical value will be the
one that will be used to get the cumulative probability. Using the degree of freedom
which has a value of 10 and the chi-square critical value of 12.37, in the Chi-square
Distribution Table it is equivalent to a cumulative probability of 0.74 or 74%. This
percentage that we got, led us to a very large Chi-square value which means that our
null hypothesis which states that there is no relationship between gender and English
Language Difficulty should not be rejected. And using this it proves that gender does not
affect the English Language Difficulty of an individual.
TOTAL