Normality Testing Prerequisite Testing

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B. Prerequisite Testing

The statistic analysis needs several requirements that have to be met, namely, normality testing and homogeneity testing.

1. Normality Testing

Liliefors testing is used to compute the normality of the data. The normality test is to check whether the data are in normal distribution or not. If L o L obtained is lower than L t L table at the level of significance α=0.05 on Liliefors, the sample is in normal distribution. The formula used in this testing is: a Cell A 1 B 1 . In this cell, that contains 15 students having high learning motivation who are taught using internet-based material n=15, the highest value of FZ i -SF i or L o is 0.132. L t at the level of significance α=0.05 is 0.220. Because L o is lower than L t 0.132 0.220, it can be concluded that the sample is in normal distribution. b Cell A 2 B 1 . In the cell A 2 B 1 , that contains 15 students having high learning motivation who are taught using textbook material n=15, the highest value of FZ i -SF i or L o is 0.085. L t at the level of signif icance α=0.05 is 0.220. Because L o is commit to user 88 lower than L t 0.085 0.220, it can be concluded that the sample is in normal distribution. c Cell A 1 B 2 . In the cell A 1 B 2 , that contains 15 students having low learning motivation who are taught using internet-based material n=15, the highest value of FZ i - SF i or L o is 0.170. L t at the level of significance α=0.05 is 0.220. Because L o is lower than L t 0.170 0.220, it can be concluded that the sample is in normal distribution. d Cell A 2 B 2 . In the cell A 2 B 2 , that contains 15 students having low learning motivation who are taught using textbook material n=15, the highest value of FZ i -SF i or L o is 0.0796. L t at the level of significance α=0.05 is 0.220. Because L o is lower than L t 0.07960.220, it can be concluded that the sample is in normal distribution. e Cell A 1 . In the cell A 1 , that contains 30 who are taught using internet-based material n=30, the highest value of FZ i -SF i or L o is 0.080. L t at the level of significance α=0.05 is 0.161. Because L o is lower than L t 0.080 0.161, it can be concluded that the sample is in normal distribution. f Cell A 2 . In the cell A 2 , that contains 30 students who are taught using textbook material n=30, the highest value of FZ i -SF i or L o is 0.0907. L t at the level of commit to user 89 significance α=0.05 is 0.161. Because L o is lower than L t 0.0907 0.161, it can be concluded that the sample is in normal distribution. g Cell B 1 . In the cell B 1 , that contains 30 students who are having high learning motivation n=30, the highest value of FZ i -SF i or L o is 0.156. L t at the level of significance α=0.05 is 0.161. Because L o is lower than L t 0.156 0.161, it can be concluded that the sample is in normal distribution. h Cell B 2 . In the cell B 2 , that contains 30 students who are having low learning motivation n=30, the highest value of FZ i -SF i or L o is 0.0589. L t at the level of significance α=0.05 is 0.161. Because L o is lower than L t 0.0589 0.161, it can be concluded that the sample is in normal distribution. Table 14. The Normality Test No. Data The Number of sample L Obtained L o L Table L t Alfa Distribution of Population 1 2 3 4 5 6 7 8 A 1 B 1 A 2 B 1 A 1 B 2 A 2 B 2 A 1 A 2 B 1 B 2 15 15 15 15 30 30 30 30 0.1321 0.0850 0.1704 0.0796 0.0800 0.0907 0.1560 0.0589 0.220 0.220 0.220 0.220 0.161 0.161 0.161 0.161 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Normal Normal Normal Normal Normal Normal Normal Normal commit to user 90

2. Homogeneity Testing