Experimental Class Frequency Distribution Control Class Frequency Distribution

because this calculation functions as an answer for the research problem to know whether the inductive technique is effective or not on students’ mastery of comparison degrees. Before the writer found the frequency distribution, she had recapitulated the mean scores of both experimental and control classes. Table 4.7 Brief Summary of Mean Scores Mean Scores Experimental Control Pre – Test 67.3 78.13 Post – Test 69.06 72.26

a. Experimental Class Frequency Distribution

Table 4.8 Frequency Distribution Experimental Class Pre-Test No. Interval Fi Xi Xi 2 Fixi Fixi 2 Xi-X 2 fXi- X 2 1 52-58 8 55 3025 440 193600 151.29 1210.32 2 59-65 7 62 3844 434 188356 28.1 196.7 3 66-72 6 69 4761 414 171396 2.89 17.34 4 73-79 4 76 5776 304 92416 75.69 302.76 5 80-87 3 83.5 6972.25 250.5 62750.25 262.44 787.32 6 88-94 2 91 8281 182 33124 561.69 1123.38 Total 30 2024.5 3637.82 1 Mean X M x = � = 2024,5 = 67.48 30 2 Variance � � � = ∑� �� − x ∑� = 3637.82 = 121.261 30 3 Standard Deviation S S= √ ∑ �− 2 ∑ � = √ . = √ . = 11.01 Table 4.9 Frequency Distribution Experimental Class Post-Test No. Interval Fi Xi Xi 2 Fixi Fixi 2 Xi-X 2 fXi- X 2 1 60-66 3 63 3969 189 35721 228.92 686.76 2 67-72 5 69.5 4830.25 347.5 120756.25 74.48 372.4 3 73-78 5 75.5 5700.25 377.5 142506.25 6.92 34.6 4 79-84 12 81.5 6642.25 978 956484 11.36 136.32 5 85-90 2 87.5 7656.25 175 30625 87.79 175.58 6 91-96 3 93.5 8742.25 280.5 78680.25 236.23 708.69 Total 30 2347.5 2114.35 4 Mean X M x = = 2347,5 = 78.25 30 5 Variance � � � = ∑� �� − x ∑� = 2114.35 = 70.48 30 6 Standard Deviation S S= √ ∑ �− 2 ∑ � = √ . = √ . = 8.39

b. Control Class Frequency Distribution

Table 4.10 Frequency Distribution Control Class Pre-Test No. Interval Fi Xi Xi 2 Fixi Fixi 2 Xi-X 2 fXi- X 2 1 52-57 3 54.5 2970.25 163.5 26732.25 211.99 635.97 2 58-63 6 60.5 3660.25 363 131769 73.27 439.62 3 64-69 6 66.5 4422.25 399 159201 6.55 39.3 4 70-75 4 72.5 5256.25 290 84100 11.83 47.32 5 76-82 10 79 6241 790 624100 98.8 988 6 83-88 1 85.5 7310.25 85.5 7310.25 270.27 270.27 Total 30 2091 2420.48 1 Mean X M x = = 2091 = 69.7 30 2 Variance � � � = ∑� �� − x ∑� = 2420.48 = 80.683 30 3 Standard Deviation S S= √ ∑ �− 2 ∑ � = √ . = √ . = 8.98 Table 4.11 Frequency Distribution Control Class Post-Test No. Interval Fi Xi Xi 2 Fixi Fixi 2 Xi-X 2 fXi- X 2 1 56-61 7 58.5 3422.25 409.5 167690.3 189.34 1325.4 2 62-67 64.5 4160.25 60.22 3 68-73 8 70.5 4970.25 564 318096 3.09 24.72 4 74-79 6 76.5 5852.25 459 210681 17.98 107.88 5 80-85 7 82.5 6806.25 577.5 333506,3 104.86 734.02 6 86-91 2 88.5 7832.25 177 31329 263.74 527.5 Total 30 2187 2719.52 4 Mean X M x = = 2187 = 72.9 30 5 Variance � � � = ∑� �� − x ∑� = 2719.52 = 90.65 30 6 Standard Deviation S S= √ ∑ �− 2 ∑ � = √ . = √ . = 9.52 From the calculation above, here is the table of brief summary from the calculation above. Table 4.12 Brief Summary of the Calculation of Post-Test Data Variable Total of Students n Mean X Variance S 2 Standar Deviation S Experimental Class 30 78.25 70.48 8.39 Control Class 30 72.9 90.65 9.52 After the writer found the calculation of mean, variance, and standar deviation score, she found the score of t-test which has the significance α= 0.05. Here is the description of t-test calculation: Descriptions: � = the price of t value �̅ = average score of experimental class �̅ = average score of control class � = variant data of experimental class � = variant data of control class � = standard deviation of both classes � = the total students of experimental class � = the total students of control class � = √ � − � + � − � � + � − = √ − . + − . + − = √ . + . = √ . = √ . = 8.98 � = �̅ − �̅ � √� + � � = . − . . √ + � = . . √ � = . . √ . � = . . . . � = . . � = . Based on calculating above, the result of t-test from experimental and controlled classes is 2.47.

c. Determining the t-test significance level α= 0.05 by calculating the degree of freedom

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