Descriptive Qualitative DATA ANALYSIS TECHNIQUE

84

40.81 – 50.40

50.41 – 60.00 Agree Strongly agree

3. Inferential Statistics

Inferential statistics was utilized to analyze the data gathered from the tests results, which were from pre-test and post-test. The pre-test and post-test were included as T- Test. According to Bluman 2012, “t-test is a statistical test for the mean of a population and is used when the population is normally or approximately normal distributed and the population of standard deviation is unknown”. Furthermore, the inferential statistics that is appropriate for pre-test and post-test analysis is paired samples t-test. Privitera 2015 states that paired samples t-test is a statistical procedure used to test hypotheses concerning two related samples selected from population. The tests that the students would have are the tests before and after the students joined the English course. Moreover, there are two hypothesis in this paired samples t-test, namely H and H 1 . H is when there is no significant difference between the scores in pre-test and post-test. Meanwhile, conversely, H 1 is when there is significant difference between the scores in pre-test and post-test. Furthermore, test of normality is one of the requirements to utilize paired samples t-test. It was aimed to check the normal distribution of the scores. A way to check the normality is by using Kolmogorov-Smirnov test. The hypothesis of this test was that if the � value is higher than 0.05 value in the column of sig. , the scores are normally distributed. After checking the normality, the researcher can continue to compute the scores by using the next SPSS computation PLAGIAT MERUPAKAN TINDAKAN TIDAK TERPUJI 85 technique. The results of the normality test will be represented in the following table. Table 3.13. The Apperance of the Table of Normality Test Blank Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig. Pre-test Post-test . This is a lower bound of the true significance. a. Lilliefors Significance Correction After paired samples test was analyzed, the results were interpreted. The interpretation of the results started from looking at the value in the column of confidence value and sig. 2-tailed. The confidence value chosen should be 95. If the value in sig. 2-tailed is less than 0.05, it means that H is rejected. In other words, it means that there is significant difference between the scores in pre-test and post-test. The following is the appearance of the blank table of paired sample test table. Table 3.14. The Apperance of the Table of Paired Sample Test Blank Paired Samples Test Paired Differences t df Sig. 2- tailed Mea n Std. Deviati on Std. Error Mean 95 Confidence Interval of the Difference Lower Upper