Data of Students’ Intelligence Quotient Data of Students’ Achievement

41 106 42 106 43 106 44 106 45 106 46 106 47 106 48 106 49 106 50 106 51 106 52 106 53 106 54 106 55 97 N = 55 ∑ = 6424

2. Data of Students’ Achievement

From the table below it can be seen the total score from students‟ English score is 4610. The minimum score is 52, maximum score is 97. And median score is 83,8. For further explanation it can be seen on the table below. Table 4.2 Students’ English Score N X 1 86 2 89 3 92 4 91 5 91 6 83 7 91 8 83 9 91 10 91 11 89 12 83 13 93 14 91 15 52 16 84 17 86 18 80 19 80 20 80 21 94 22 84 23 78 24 72 25 92 26 62 27 88 28 66 29 82 30 85 31 91 32 83 33 91 34 91 35 85 36 93 37 90 38 95 39 94 40 88 41 91 42 97 43 85 44 90 45 58 46 58 47 82 48 94 49 90 50 75 51 72 52 74 53 66 54 84 55 84 N = 55 ∑ = 4610

3. The Correlation between IQ Score and Students’s Achievement

After achieving the data of IQ score and students‟ score in English, the next step is the writer calculating those score to get the correlation score. In this calculation the IQ score and students‟ English score are correlated by using Pearson Product formula. The data is described on the following table : Table 4.3 Coefficient Correlation Between Variable X an Variable Y No X Y X 2 Y 2 XY 1 140 86 19600 7396 12040 2 140 89 19600 7921 12460 3 140 92 19600 8464 12880 4 140 91 19600 8281 12740 5 133 91 17689 8281 12103 6 131 83 17161 6889 10873 7 131 91 17161 8281 11921 8 131 83 17161 6889 10873 9 131 91 17161 8281 11921 10 131 91 17161 8281 11921 11 122 89 14884 7921 10858 12 122 83 14884 6889 10126 13 122 93 14884 8649 11346 14 122 91 14884 8281 11102 15 122 52 14884 2704 6344 16 122 84 14884 7056 10248 17 122 86 14884 7396 10492 18 122 80 14884 6400 9760 19 122 80 14884 6400 9760 20 122 80 14884 6400 9760 21 122 94 14884 8836 11468 22 121 84 14641 7056 10164 23 121 78 14641 6084 9438 24 115 72 13225 5184 8280 25 113 92 12769 8464 10396 26 113 62 12769 3844 7006 27 113 88 12769 7744 9944 28 113 66 12769 4356 7458 29 113 82 12769 6724 9266 30 113 85 12769 7225 9605 31 113 91 12769 8281 10283 32 113 83 12769 6889 9379 No X Y X 2 Y 2 XY 33 113 91 12769 8281 10283 34 113 91 12769 8281 10283 35 113 85 12769 7225 9605 36 113 93 12769 8649 10509 37 113 90 12769 8100 10170 38 109 95 11881 9025 10355 39 109 94 11881 8836 10246 40 109 88 11881 7744 9592 41 106 91 11236 8281 9646 42 106 97 11236 9409 10282 43 106 85 11236 7225 9010 44 106 90 11236 8100 9540 45 106 58 11236 3364 6148 46 106 58 11236 3364 6148 47 106 82 11236 6724 8692 48 106 94 11236 8836 9964 49 106 90 11236 8100 9540 50 106 75 11236 5625 7950 51 106 72 11236 5184 7632 52 106 74 11236 5476 7844 53 106 66 11236 4356 6996 54 106 84 11236 7056 8904 55 97 84 9409 7056 8148 ∑ 6424 4610 756478 392044 539702 To know the significance correlation between variables, the writer use Pearson’s Product Moment to analyze the correlation because the data scale thatusing in this research is interval. In this part of this chapter the coeficient correlation Pearson and the significancey was calculated. And the next step is test the hypothesis by comparing between score of r hitung from the distribution table of r. So, the result of the problem that formulated is gained here.