Uji Chi-Square Kebutuhan Akan Prestasi Terhadap Intensi

179 Chi-Square Tests Value df Asymptotic Significance 2-sided Exact Sig. 2- sided Exact Sig. 1- sided Pearson Chi-Square .327 a 1 .568 Continuity Correction b .037 1 .848 Likelihood Ratio .304 1 .581 Fishers Exact Test .702 .397 Linear-by-Linear Association .325 1 .569 N of Valid Cases 185 a. 0 cells 0 have expected count less than 5. The minimum expected count is 2.25. b. Computed only for a 2x2 table Symmetric Measures Value Asymptotic Standardized Error a Approximate T b Approximate Significance Nominal by Nominal Contingency Coefficient .042 .568 Interval by Interval Pearsons R -.042 .081 -.569 .570 c Ordinal by Ordinal Spearman Correlation -.042 .081 -.569 .570 c N of Valid Cases 185 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis. c. Based on normal approximation.

5. Uji Chi-Square Kreatifitas dan Inovatif Terhadap Intensi

Berwirausaha Siswa Kelas XI SMK di Kabupaten Bantul Intensi_Berwirausaha Kreatifitas_dan_Inovatif Crosstabulation Kreatifitas_dan_Inovatif Total Rendah Tinggi Intensi_ Berwirausaha Rendah Count 5 8 13 Expected Count 1.1 11.9 13.0 Residual 3.9 -3.9 Tinggi Count 10 162 172 Expected Count 13.9 158.1 172.0 Residual -3.9 3.9 Total Count 15 170 185 Expected Count 15.0 170.0 185.0 180 Chi-Square Tests Value Df Asymptotic Significance 2-sided Exact Sig. 2- sided Exact Sig. 1- sided Pearson Chi-Square 17.290 a 1 .000 Continuity Correction b 13.186 1 .000 Likelihood Ratio 10.490 1 .001 Fishers Exact Test .002 .002 Linear-by-Linear Association 17.197 1 .000 N of Valid Cases 185 a. 0 cells 0 have expected count less than 5. The minimum expected count is 1.05. b. Computed only for a 2x2 table Symmetric Measures Value Asymptotic Standardized Error a Approximate T b Approximate Significance Nominal by Nominal Contingency Coefficient .292 .000 Interval by Interval Pearsons R .306 .122 4.344 .000 c Ordinal by Ordinal Spearman Correlation .306 .122 4.344 .000 c N of Valid Cases 185 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis. c. Based on normal approximation.