Description of Data RESEARCH FINDING

21 numbers, 30 samples is gotten between auditory learning style and visual learning style. Table 4.1 Score of Auditory Learning Style and Visual Learning Style NO NAME OF SAMPLES SCORE X 01 STUDENT 1 82 02 STUDENT 2 76 03 STUDENT 3 79 04 STUDENT 4 77 05 STUDENT 5 70 06 STUDENT 6 74 07 STUDENT 7 86 08 STUDENT 8 82 09 STUDENT 9 71 10 STUDENT 10 79 11 STUDENT 11 85 12 STUDENT 12 80 13 STUDENT 13 83 14 STUDENT 14 79 15 STUDENT 15 75 16 STUDENT 16 75 17 STUDENT 17 88 18 STUDENT 18 76 19 STUDENT 19 81 20 STUDENT 20 71 21 STUDENT 21 69 22 STUDENT 22 69 23 STUDENT 23 81 24 STUDENT 24 84 25 STUDENT 25 79 26 STUDENT 26 77 27 STUDENT 27 88 28 STUDENT 28 78 29 STUDENT 29 88 30 STUDENT 30 74 TOTAL 2356 22 To find how English achievement in both styles is and how the difference between both styles is, the writer analyzed the documentation of final test scores. Table 4.2 Score of English Final Test NO NAME OF SAMPLES SCORE Y 1 STUDENT 1 68 2 STUDENT 2 67 3 STUDENT 3 85 4 STUDENT 4 68 5 STUDENT 5 65 6 STUDENT 6 68 7 STUDENT 7 75 8 STUDENT 8 73 9 STUDENT 9 69 10 STUDENT 10 90 11 STUDENT 11 75 12 STUDENT 12 65 13 STUDENT 13 73 14 STUDENT 14 69 15 STUDENT 15 69 16 STUDENT 16 65 17 STUDENT 17 88 18 STUDENT 18 90 19 STUDENT 19 75 20 STUDENT 20 83 21 STUDENT 21 78 22 STUDENT 22 78 23 STUDENT 23 68 24 STUDENT 24 85 25 STUDENT 25 68 26 STUDENT 26 75 27 STUDENT 27 72 28 STUDENT 28 70 29 STUDENT 29 78 30 STUDENT 30 65 TOTAL 2217 23

B. The Analysis of Data

The next step after scoring each variable; students’ visual learning style and students’ auditory learning style, and English achievement both students’ learning style, the writer calculate the data to be analyzed using t-test formula. To gain the formula of the data using comparison index of t-test, the writer was formulating the table first by considering following steps: Table 4.3 Computation of the Mean, Standard Deviation and Standard Error Score M X M Y x y X 2 y 2 X Y 82 68 78,5 73,9 3,5 -5,9 12,02 34,81 76 67 78,5 73,9 -2,5 -6,9 6,42 47,61 79 85 78,5 73,9 0,5 11,1 0,22 123,21 77 68 78,5 73,9 -1,5 -5,9 2,35 34,81 70 65 78,5 73,9 -8,5 -8,9 72,82 79,21 74 68 78,5 73,9 -4,5 -5,9 20,55 34,81 86 75 78,5 73,9 7,5 1,1 55,75 1,21 82 73 78,5 73,9 3,5 -0,9 12,02 0,81 71 69 78,5 73,9 -7,5 -4,9 56,75 24,01 79 90 78,5 73,9 0,5 16,1 0,22 259,21 85 75 78,5 73,9 6,5 1,1 41,82 1,21 80 65 78,5 73,9 1,5 -8,9 2,15 79,21 83 73 78,5 73,9 4,5 -0,9 19,95 0,81 79 69 78,5 73,9 0,5 -4,9 0,22 24,01 75 69 78,5 73,9 -3,5 -4,9 12,48 24,01 75 65 78,5 73,9 -3,5 -8,9 12,48 79,21 88 88 78,5 73,9 9,5 14,1 89,62 198,81 76 90 78,5 73,9 -2,5 16,1 6,42 259,21 81 75 78,5 73,9 2,5 1,1 6,08 1,21 71 83 78,5 73,9 -7,5 9,1 56,75 82,81 69 78 78,5 73,9 -9,5 4,1 90,88 16,81 69 78 78,5 73,9 -9,5 4,1 90,88 16,81 81 68 78,5 73,9 2,5 -5,9 6,08 34,81 84 85 78,5 73,9 5,5 11,1 29,88 123,21 24 79 68 78,5 73,9 0,5 -5,9 0,22 34,81 77 75 78,5 73,9 -1,5 1,1 2,35 1,21 88 72 78,5 73,9 9,5 -1,9 89,62 3,61 78 70 78,5 73,9 -0,5 -3,9 0,28 15,21 88 78 78,5 73,9 9,5 4,1 89,62 16,81 74 65 78,5 73,9 -4,5 -8,9 20,55 79,21 2356 2217 78,5 73,9 0,0 0,0 907 1733 ΣX ΣY ΣXN ΣYN Σx Σy Σx 2 Σy 2 From the table above we can get several formulas to input in gaining the next formula such as ΣX is 2356, ΣY is 2217, Σx 2 is 907 , and Σy 2 is 1733. Determining Standard Deviation variable X and Variable Y using following formula: Standard Deviation variable X: Standard Deviation variable Y: