47
CHAPTER IV
RESULTS OF THE STUDY
This chapter discusses in more details the findings of the present study described in the previous chapter. It is classified into the samples and their achievement in
English, analysis of the data, and the interpretation of data analysis.
4.1 The Samples and their Achievement in English
The following is the tabulation of the scores obtained in the English National Examination Achievement between RSBI and regular class of SMP Negeri 1
Ungaran in the academic year of 20092010 See Table 4.1 and Table 4.2 on Appendix.
4.2 Analysis of the Data
According to what has been mentioned in chapter III, to know whether or not there is a significant difference between the ninth grade RSBI and regular in English National
Examination achievement, the writer used ‘t-test’ to compute the data See Table 4.1 and Table 4.2 on Appendix. The following two preparatory tables show the
computation of the data See Table 4.3 and Table 4.4 on Appendix. The discussions are detailed as follow:
4.2.1 Mean
The word mean refers to the average score of the students in groups. Christensen 2001:329 defines the means as the arithmetic average of groups of numbers see
also Arikunto 2002. It can be computed by dividing the sum of the scores by number of students in the groups.
Diagram 4.1 RSBI Class Scores
The above diagram shows the English National Examination scores of the RSBI class students. The highest score is 9.80 and the lowest score is 6.60. The score with most
students is 8.60. There are 6 students got 8.60. Bellow is the computation to find the mean of RSBI class.
8.625 24
207 n
Σx
1 1
1
X
= =
=
1
X is the symbol of mean of the first group, in this case is RSBI class.
1
Σx
, the sum from all of the students’ scores is 207 while
n
1
, the number of the students in the first group is 24 see Table 4.3 on Appendix. The result of dividing the sum of
the scores by the number of the students shows the mean of the first group is 8.625.
Diagram 4.2 Regular Class Scores
The above diagram shows the English National Examination scores of the regular class students. The highest score is 9.80 and the lowest score is 6.00. The score with
most students is 8.80. There are 9 students got 8.80. Bellow is the computation to find the mean of regular class.
8.532 44
375.40 n
Σx
2 2
2
X
= =
=
2
X is the symbol of mean of the second group, in this case is regular class.
2
Σx
, the sum from all of the students’ scores is 375.40 while n
2
, the number of the students in the second group is 44 see Table 4.4 on Appendix. The result of dividing
the sum of the scores by the number of the students shows the mean of the second group is 8.532.
From the result above, we know that the mean of RSBI class is higher than regular class.
4.2.2 Variance
In probability theory and statistics, the variance is used as a measure of how far a set of numbers are spread out from each other. It is one of several descriptors of a
probability distribution, describing how far the numbers lie from the mean expected
value. In particular, the variance is one of the moments of a distribution. In that context, it forms part of a systematic approach to distinguishing between probability
distributions. While other such approaches have been developed, those based on moments are advantageous in terms of mathematical and computational simplicity.
The variance is a parameter describing in part either the actual probability distribution of an observed population of numbers, or the theoretical probability
distribution of a not-fully-observed population of numbers. The variance of each group is as follow:
631 .
23 514
. 14
1
1 2
1 1
2 1
= =
− −
Σ =
n X
X S
2 1
S symbolizes the variance of the first group.
2 1
1
X X
− Σ
is the sum quadrate of each first group score minus first group mean. The result of this formula
is 14.514 see Table 4.3 on Appendix. n
1
shows the number of students in the first group. From the calculation above, we get the result of the first group variance is
0.631.
645 .
43 756
. 27
1
2 2
2 2
2 2
= =
− −
Σ =
n X
X S
The
2 2
S symbolizes variance of the second group.
2 2
2
X X
− Σ
is the sum quadrate of each second group score minus second group mean. The result of this
formula is 27.756 see Table 4.4 on Appendix. n
2
shows the number of students in the second group. From the calculation, we get the result of the second group
variance is 0.645. The calculation shows the variance of the first group is 0.631 while the
variance of the second group is 0.645. We can conclude from the calculation that the variance of the regular class is higher than the RSBI class.
4.2.3 Standard Deviation
According to Christensen 2001:330, standard deviation is a measure of variability that provides an index of the extent to which the scores in groups vary about them
mean. It is the square root of the average of the sum of squared deviation of the scores about their mean. In other words, mean difference is due to the manipulation
of the independent variable. This description is represented in the following estimation.
8 .
640 .
66 248
. 42
66 735
. 27
513 .
14 2
44 24
645 .
x 43
631 .
x 23
2 1
1
2 1
2 2
2 2
1 1
= =
= +
= −
+ +
= −
+ −
+ −
= n
n s
n s
n S
S symbolizes the standard deviation of the two groups scores. s
1 2
is the variance of the first group and s
2 2
is the variance of the second group. n
1
shows the number of students in the first group while n
2
shows the number of students in the second group. The final result of the estimation above is 0.8.
This result of standard deviation indicates that the variation of the data is close to the mean. A low standard deviation indicates that the data points tend to be
very close to the mean, whereas high standard deviation indicates that the data are spread out over a large range of values.
4.2.4 The t - Value
After knowing the mean, variance, and standard deviation of both groups, the writer comes up to the calculation of the t – value. Below is the detailed computation of the t
– value.
459 .
2024 .
093 .
253 .
x 8
. 093
. 064
. 8
. 093
. 1056
68 8
. 093
. 1056
24 44
8 .
093 .
44 1
24 1
8 .
532 .
8 625
. 8
1 1
2 1
2 1
= =
= =
= +
= +
− =
+ −
= n
n S
x x
t
The letter
t in the formula above indicates the t-value.
2 1
x x
− symbolizes the mean of the first group minus the mean of the second group which the result is 0.093.
S in the formula above is the standard deviation of the two group of scores. The
computation shows the result of the t-value is 0.459.
4.3 Interpretation of the Data Analysis
To know whether or not the t-value 0.459 is statistically, the writer compared the score to the t-table. On the level significance,
α = 5 with degree of freedom, df = 24 + 44 - 2 =66 the result t-table = 1.668
In this experiment, the numbers of subject of the two groups were 24 and 44. The degree of freedom df was obtained from the formula N
1
+ N
2
– 2. The t critical value with the degree of freedom 66 at the 5 percent alpha level of
significance is 1.668. The score of t-table 1.668 means the limit that difference can be accepted as sampling error. The obtained of t – value is 0.459, so that t-value is
lower that t critical value 0.459 1.668. It can be concluded that the difference was not statistically significant.
Therefore, the null hypothesis saying “there is no significant difference in the English National Examination achievement between RSBI class and regular class of
SMP Negeri 1 Ungaran in the academic year of 2009 2010” is accepted since the result of analysis showed that the difference was not statistically significant.
This result also indicates that the factors affecting English teaching and learning process include the technique in language teaching that the writer explained
in Chapter II do not give any significant difference to the success of English teaching and learning between RSBI and regular class.
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CHAPTER V CONCLUSIONS AND SUGGESTION
This chapter presents conclusion of the study based on the result of the study and suggestions for the students, English teachers, the government, and next researchers.
5.1 Conclusion
The result of the calculating using the t-test is 0.459 1.668. This implies that there is no significant difference in the English National Examination achievement between
RSBI class and regular class of SMP Negeri 1 Ungaran in the academic year of 2009 2010. The English National Examination achievement between both RSBI class and
regular class are high. The mean of the RSBI class is 8.625 and the mean of the regular class is 8.532. It means that the result of regular class is as good as the RSBI
class. The result of “there is no significant difference” also indicates that the factors
affecting English teaching and learning process; intrinsic factors and extrinsic factors, and the technique in language teaching; the grammar translation method and the
direct method that usually used to teach English in RSBI class and regular class do not give any significant difference to the success of English teaching and learning
between the students of the two classes.
