Method of Analyzing the Data

Since there had been sufficient data that the writer wanted to observe, the writer only took the data documentation from National Examination achievements provided at the school under investigation.

3.5 Method of Analyzing the Data

In this study the writer would like to analyze whether or not there is any significance difference in English National Examination achievement between RSBI class and regular class students. Accordingly, in analysis the data, the writer chose the t-test formula: In order to compute the t-test, the mean has to be computed first. The mean could be calculated by using the following formula: 1 1 1 n x x Σ = 2 2 2 n x x Σ = Where, 1 x = the mean of the RSBI class 2 x = the mean of regular class n 1 = the number of students of the RSBI class n 2 = the number of students of the regular class Finishing the step, the writer got two ‘means’, one for the RSBI class and the other for the regular class which might be different. Yet, it couldn’t in fact state whether there is a real difference between the two classes with regard to their achievement in English National Examination achievement. It should be examined further whether or not the difference is significant, and not because of the ‘error- sampling’. To check this, the writer used a means of estimation, the so called ‘standard error of difference’. The following formulas were needed: S 1 2 = 1 1 2 1 1 − − Σ n X X S 2 2 = 1 2 2 2 2 − − Σ n X X and S= 2 1 1 2 1 2 2 2 2 1 1 − + − + − n n s n s n so t= 2 1 2 1 1 1 n n S x x + − Where, t = t value 1 x = the mean of the experimental group 2 x = the mean of the control group n 1 = the number of students of the RSBI group n 2 = the number of students of the regular group S = Standard deviation S 1 2 = Variance of the RSBI group S 2 2 = Variance of the regular group Then the writer compared the value of the ‘t’ from the formula above to the degree of significance on the 5 level of significance. If it is higher than the limit of acceptance the null hypothesis, there is then a significant difference, and if it is the same as or even lower than the limit, there is no significance difference. 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

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