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![4. Sebuah perusahaan berskala nasional memasarkan produk barunya dengan menggunakan empat strategi yang berbeda. Dalam suatu periode tertentu, perusahaan tersebut mencatat hasil penjualan produknya (dalam juta unit) di empat kota besar tersebut:Strategi Strategi Strategi Strategi 1 2 3 4 2,86 13,62 11,70 5,62 3,80 7.21 11,81 11,70 5,31 5.31 13,62 7.21 4,22 4,22 15,41 5,91 15,2 12,33 Gunakan uii Kruskal-Wallis untuk mengetahui apakah terdapat perbedaan hasil penjualan berdasarkan keemapat strategi tersebut dengan terlebih dahulu menentukan bentuk hipotesis dan wilayah kritis pengujian? (Gunakan taraf nyata 0,05 )LAMPIRAN TABELThis table peesents the arca between the mean and the Z score. When Z-1.96, the shaded area is 0.4750 .Areas Under the Standard Normal Curvez 0.00 0.01 0.92 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.0 0.0000 0.0000 0.0050 0.0120 0.0160 0.0199 0.0279 0.0279 0.0319 0.0159 0.1 (.0398)/(0793) .0438 0812 0878 .0517 0557 .0596 0636 0675 0714 .0753 0.2 .0793 1179 .0832 1217 .0871 .0910 0948 .0987 .1026 .1064 .1103 .1141 1179 .1217 1235 .1293 1331 1363 1406 1443 1450 1517 0.4 .1554 1591 .1628 .1664 1700 .1736 1772 1308 1844 1879 0.5 .1915 .1950 .1985 .2019 2054 2088 2123 2157 2190 224 0.6 2257 2291 2324 2357 2389 2422 2454 24 B 6 2517 2549 0.7 2580 2611 2642 2673 2704 2734 .2754 2794 2123 2852 0.8 2881 2910 2919 2967 1995 3023 3051 3078 3106 3133 0.9 .3199 3186 .π 212 .3238 3264 3289 .315 3340 31365 3389 1.0 3413 .3438 .3461 345 3508 3531 3554 3577 359 3621 11 .3643 1865 1686 3708 J 729 J 749 3770 J 790 310 3830 12 3849 .386 Js83 3907 .3925 3944 3952 J9E0 .3997 .0015 1.3 032 4009 .4066 4082 4099 4115 .4!31 4147 4162 417 1.4 4192 4307 4272 -4236 4251 4265 .4279 A 2 n 2 4306 4319 1.5 .4332 .4345 A]57 4370 .4382 A 394 4406 .418 4499 441 1.6 449 466 4474 .484 .4495 4305 4515 4525 .4535 4545 1.7 .4554 4564 .4513 .4582 .4591 4590 .4608 4616 4525 .4613 1.8 .4641 4649 4656 4664 4671 4678 4686 4693 4699 4706 19 4713 .4719 .4726 .4712 .4778 .4744 4750 .4756 4761 .4767 2.0 4772 .4778 4783 478 4793 4798 A. 408 4812 4317 2.1 4821 .4826 4830 .6134 .4838 .4842 4846 .4450 .4854 4857 2. .4861 4864 4868 .471 .4875 .4878 4881 .438 .4837 4890 23 4893 4896 4858 4901 4904 4706 4909 4911 . 13 .4916 2.4 4918 4920 4922 4925 4927 4929 4931 .4912 4934 .4956 2.5 4938 .4940 .4 % 41 .4943 .4945 4946 494 A S 49 4951 .4992 26 4953 .4955 4956 .4857 4959 4950 4961 .4862 4963 4054 27 4965 .4966 .4967 .468 .496 4970 4971 . 372 . 977 A 974 28 .4974 4975 4976 .⊗ 7 .* 977 4978 4979 4979 4930 A931 29 4981 .082 4982 4983 .0934 .4554 4915 4985 4966 4886 3.0 4987 4987 4987 4988 4985 A 989 .4989 4989 4990 Δ 990 3.1 4990 4991 .4991 4991 4992 4992 4992 4992 A993 4993 32 4593 .439 4954 4994 .4994 4594 4994 4995 4995 4995 13 4995 A395 4995 496 4996 .4996 4995 406 4996 4997 1.4 .4997 .897 4997 4997 .497 4997 4997 4997 .497 A 998 3.6 4998 4995 45 % 9 490 4090 .4099 4909 4009 A 999 .* 99 Tabel F (α=0,05)v2 v1 1. 2 3 4 5 6 7 8 9 10 1 161. 448 199.500 215.707 224.583 230.162 233.986 236.768 238.882 240.543 241. 882 2 18.513 19.000 19.164 19.247 19.296 19.330 19.353 19.371 19.385 19.396 3 10.128 9.552 9.277 9.117 9.013 8. 941 . 8. 887 8. 845 8. 812 B. 786 4 7.709 6.944 6.591 6.388 6.256 6.163 6.094 6.041 5.999 5.964 5 6.608 5.786 5. 409 5. 192 5. ese 4. 950 4.876 4. 818 4. 772 4. 735 6 5. 987 5.143 4.757 4. 534 4. 387 4. 284 4. 207 4.147 4. 099 4. 060 7 5. 591 4.737 4.347 4. 120 3.972 3. 866 3.787 3.726 3.677 3.637 E 5.318 4. 459 4. 066 3.838 3.687 3. 581 3. 500 3. 438 3,388 3.347 9 5.117 4. 256 3.863 3.633 3. 482 3.374 3. 293 3.230 3.179 3.137 10 4. 965 4. 103 3.708 3.478 3. 326 3.217 3.135 3.072 3.020 2.978 11. 4. B44 3.982 3. 587 3.357 3. 204 3.095 3.012 2. 948 2. 896 2.854 12 4.747 3. 885 3.490 3.259 3.106 2.996 2.913 2. 849 2.796 2.753 13 4. 667 3.806 3.411 3.179 3.025 2.915 2. 832 2.767 2.714 2.671 14 4. 600 3.739 3.344 3.112 2.950 2. 848 2.764 2.699 2,646 2.602 15 4. 543 3.682 3. 287 3.056 2. 901 2.790 2.707 2. 641 2. 588 2. 544 16 4. 494 3.634 3.239 3.007 2.852 2.741 2,657 2.591 2.538 2.494 17 4. 451 3. 592 3.197 2.965 2.810 2.699 2.614 2. 548 2.494 2.450 18 4. 41.4 3.555 3.160 2.928 2.773 2.661 2.577 2.510 2.456 2.412 19 4. 381 3.522 3.127 2.895 2.740 2.628 2,544 2.477 2.423 2.378 20 4. 351 3.493 3.098 2.866 2.711 2. 599 2.514 2.447 2.393 2.348 21 4.325 3.467 3.072 2.840 2.685 2.573 2.488 2.420 2.366 2.321 22 4.301 3.443 3.049 2.817 2.661 2.549 2.464 2.397 2.342 2.297 23 4.279 3.422 3.028 2.796 2.640 2. 528 2.442 2.375 2,320 2.275 24 4. 260 3.403 3.009 2.776 2.621 2. 508 2.423 2.355 2.300 2.255 25 4. 242 3.385 2.991 2.759 2.603 2.490 2.405 2.337 2.282 2.236 26 4. 225 3.369 2.975 2.743 2. 587 2. 47 4 2.388 2.321 2.265 2.220 27 4.210 3.354 2.960 2.728 2.572 2. 459 2.373 2.305 2.250 2.204 (4) 4. Sebuah perusahaan berskala nasional memasarkan produk barunya dengan menggunakan empat strategi yang berbeda. Dalam suatu periode tertentu, perusahaan tersebut mencatat hasil penjualan produknya (dalam juta unit) di empat kota besar tersebut:Strategi Strategi Strategi Strategi 1 2 3 4 2,86 13,62 11,70 5,62 3,80 7.21 11,81 11,70 5,31 5.31 13,62 7.21 4,22 4,22 15,41 5,91 15,2 12,33 Gunakan uii Kruskal-Wallis untuk mengetahui apakah terdapat perbedaan hasil penjualan berdasarkan keemapat strategi tersebut dengan terlebih dahulu menentukan bentuk hipotesis dan wilayah kritis pengujian? (Gunakan taraf nyata 0,05 )LAMPIRAN TABELThis table peesents the arca between the mean and the Z score. When Z-1.96, the shaded area is 0.4750 .Areas Under the Standard Normal Curvez 0.00 0.01 0.92 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.0 0.0000 0.0000 0.0050 0.0120 0.0160 0.0199 0.0279 0.0279 0.0319 0.0159 0.1 (.0398)/(0793) .0438 0812 0878 .0517 0557 .0596 0636 0675 0714 .0753 0.2 .0793 1179 .0832 1217 .0871 .0910 0948 .0987 .1026 .1064 .1103 .1141 1179 .1217 1235 .1293 1331 1363 1406 1443 1450 1517 0.4 .1554 1591 .1628 .1664 1700 .1736 1772 1308 1844 1879 0.5 .1915 .1950 .1985 .2019 2054 2088 2123 2157 2190 224 0.6 2257 2291 2324 2357 2389 2422 2454 24 B 6 2517 2549 0.7 2580 2611 2642 2673 2704 2734 .2754 2794 2123 2852 0.8 2881 2910 2919 2967 1995 3023 3051 3078 3106 3133 0.9 .3199 3186 .π 212 .3238 3264 3289 .315 3340 31365 3389 1.0 3413 .3438 .3461 345 3508 3531 3554 3577 359 3621 11 .3643 1865 1686 3708 J 729 J 749 3770 J 790 310 3830 12 3849 .386 Js83 3907 .3925 3944 3952 J9E0 .3997 .0015 1.3 032 4009 .4066 4082 4099 4115 .4!31 4147 4162 417 1.4 4192 4307 4272 -4236 4251 4265 .4279 A 2 n 2 4306 4319 1.5 .4332 .4345 A]57 4370 .4382 A 394 4406 .418 4499 441 1.6 449 466 4474 .484 .4495 4305 4515 4525 .4535 4545 1.7 .4554 4564 .4513 .4582 .4591 4590 .4608 4616 4525 .4613 1.8 .4641 4649 4656 4664 4671 4678 4686 4693 4699 4706 19 4713 .4719 .4726 .4712 .4778 .4744 4750 .4756 4761 .4767 2.0 4772 .4778 4783 478 4793 4798 A. 408 4812 4317 2.1 4821 .4826 4830 .6134 .4838 .4842 4846 .4450 .4854 4857 2. .4861 4864 4868 .471 .4875 .4878 4881 .438 .4837 4890 23 4893 4896 4858 4901 4904 4706 4909 4911 . 13 .4916 2.4 4918 4920 4922 4925 4927 4929 4931 .4912 4934 .4956 2.5 4938 .4940 .4 % 41 .4943 .4945 4946 494 A S 49 4951 .4992 26 4953 .4955 4956 .4857 4959 4950 4961 .4862 4963 4054 27 4965 .4966 .4967 .468 .496 4970 4971 . 372 . 977 A 974 28 .4974 4975 4976 .⊗ 7 .* 977 4978 4979 4979 4930 A931 29 4981 .082 4982 4983 .0934 .4554 4915 4985 4966 4886 3.0 4987 4987 4987 4988 4985 A 989 .4989 4989 4990 Δ 990 3.1 4990 4991 .4991 4991 4992 4992 4992 4992 A993 4993 32 4593 .439 4954 4994 .4994 4594 4994 4995 4995 4995 13 4995 A395 4995 496 4996 .4996 4995 406 4996 4997 1.4 .4997 .897 4997 4997 .497 4997 4997 4997 .497 A 998 3.6 4998 4995 45 % 9 490 4090 .4099 4909 4009 A 999 .* 99 Tabel F (α=0,05)v2 v1 1. 2 3 4 5 6 7 8 9 10 1 161. 448 199.500 215.707 224.583 230.162 233.986 236.768 238.882 240.543 241. 882 2 18.513 19.000 19.164 19.247 19.296 19.330 19.353 19.371 19.385 19.396 3 10.128 9.552 9.277 9.117 9.013 8. 941 . 8. 887 8. 845 8. 812 B. 786 4 7.709 6.944 6.591 6.388 6.256 6.163 6.094 6.041 5.999 5.964 5 6.608 5.786 5. 409 5. 192 5. ese 4. 950 4.876 4. 818 4. 772 4. 735 6 5. 987 5.143 4.757 4. 534 4. 387 4. 284 4. 207 4.147 4. 099 4. 060 7 5. 591 4.737 4.347 4. 120 3.972 3. 866 3.787 3.726 3.677 3.637 E 5.318 4. 459 4. 066 3.838 3.687 3. 581 3. 500 3. 438 3,388 3.347 9 5.117 4. 256 3.863 3.633 3. 482 3.374 3. 293 3.230 3.179 3.137 10 4. 965 4. 103 3.708 3.478 3. 326 3.217 3.135 3.072 3.020 2.978 11. 4. B44 3.982 3. 587 3.357 3. 204 3.095 3.012 2. 948 2. 896 2.854 12 4.747 3. 885 3.490 3.259 3.106 2.996 2.913 2. 849 2.796 2.753 13 4. 667 3.806 3.411 3.179 3.025 2.915 2. 832 2.767 2.714 2.671 14 4. 600 3.739 3.344 3.112 2.950 2. 848 2.764 2.699 2,646 2.602 15 4. 543 3.682 3. 287 3.056 2. 901 2.790 2.707 2. 641 2. 588 2. 544 16 4. 494 3.634 3.239 3.007 2.852 2.741 2,657 2.591 2.538 2.494 17 4. 451 3. 592 3.197 2.965 2.810 2.699 2.614 2. 548 2.494 2.450 18 4. 41.4 3.555 3.160 2.928 2.773 2.661 2.577 2.510 2.456 2.412 19 4. 381 3.522 3.127 2.895 2.740 2.628 2,544 2.477 2.423 2.378 20 4. 351 3.493 3.098 2.866 2.711 2. 599 2.514 2.447 2.393 2.348 21 4.325 3.467 3.072 2.840 2.685 2.573 2.488 2.420 2.366 2.321 22 4.301 3.443 3.049 2.817 2.661 2.549 2.464 2.397 2.342 2.297 23 4.279 3.422 3.028 2.796 2.640 2. 528 2.442 2.375 2,320 2.275 24 4. 260 3.403 3.009 2.776 2.621 2. 508 2.423 2.355 2.300 2.255 25 4. 242 3.385 2.991 2.759 2.603 2.490 2.405 2.337 2.282 2.236 26 4. 225 3.369 2.975 2.743 2. 587 2. 47 4 2.388 2.321 2.265 2.220 27 4.210 3.354 2.960 2.728 2.572 2. 459 2.373 2.305 2.250 2.204 (4)](https://i0.wp.com/www.numerade.com/static/loading.b2df72ce9ed3.gif)
4. Sebuah perusahaan berskala nasional memasarkan produk barunya dengan menggunakan empat strategi yang berbeda. Dalam suatu periode tertentu, perusahaan tersebut mencatat hasil penjualan produknya (dalam juta unit) di empat kota besar tersebut:\begin{tabular}{cccc}\hline Strategi & Strategi & Strategi & Strategi \\\( \mathbf{1} \) & \( \mathbf{2} \) & \( \mathbf{3} \) & \( \mathbf{4} \) \\\hline 2,86 & 13,62 & 11,70 & 5,62 \\3,80 & 7.21 & 11,81 & 11,70 \\5,31 & 5.31 & 13,62 & 7.21 \\4,22 & 4,22 & 15,41 & 5,91 \\& 15,2 & 12,33 & \\\hline\end{tabular}Gunakan uii Kruskal-Wallis untuk mengetahui apakah terdapat perbedaan hasil penjualan berdasarkan keemapat strategi tersebut dengan terlebih dahulu menentukan bentuk hipotesis dan wilayah kritis pengujian? (Gunakan taraf nyata 0,05 )LAMPIRAN TABELThis table peesents the arca between the mean and the \( \mathrm{Z} \) score. When \( \mathrm{Z}-1.96 \), the shaded area is 0.4750 .Areas Under the Standard Normal Curve\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|}\hline\( z \) & 0.00 & 0.01 & 0.92 & 0.03 & 0.04 & 0.05 & 0.06 & 0.07 & 0.08 & 0.09 \\\hline 0.0 & 0.0000 & 0.0000 & 0.0050 & 0.0120 & 0.0160 & 0.0199 & 0.0279 & 0.0279 & 0.0319 & 0.0159 \\\hline 0.1 & \( \frac{.0398}{0793} \) & \begin{tabular}{l}.0438 \\0812\end{tabular} & 0878 & .0517 & 0557 & .0596 & 0636 & 0675 & 0714 & .0753 \\\hline 0.2 & \begin{tabular}{l}.0793 \\1179\end{tabular} & \begin{tabular}{l}.0832 \\1217\end{tabular} & .0871 & .0910 & 0948 & .0987 & .1026 & .1064 & .1103 & .1141 \\\hline & 1179 & .1217 & 1235 & .1293 & 1331 & 1363 & 1406 & 1443 & 1450 & 1517 \\\hline 0.4 & .1554 & 1591 & .1628 & .1664 & 1700 & .1736 & 1772 & 1308 & 1844 & 1879 \\\hline 0.5 & .1915 & .1950 & .1985 & .2019 & 2054 & 2088 & 2123 & 2157 & 2190 & 224 \\\hline 0.6 & 2257 & 2291 & 2324 & 2357 & 2389 & 2422 & 2454 & \( 24 B 6 \) & 2517 & 2549 \\\hline 0.7 & 2580 & 2611 & 2642 & 2673 & 2704 & 2734 & .2754 & 2794 & 2123 & 2852 \\\hline 0.8 & 2881 & 2910 & 2919 & 2967 & 1995 & 3023 & 3051 & 3078 & 3106 & 3133 \\\hline 0.9 & .3199 & 3186 &.\( \pi 212 \) & .3238 & 3264 & 3289 & .315 & 3340 & 31365 & 3389 \\\hline 1.0 & 3413 & .3438 & .3461 & 345 & 3508 & 3531 & 3554 & 3577 & 359 & 3621 \\\hline 11 & .3643 & 1865 & 1686 & 3708 & \( J 729 \) & \( J 749 \) & 3770 & \( J 790 \) & 310 & 3830 \\\hline 12 & 3849 & .386 & Js83 & 3907 & .3925 & 3944 & 3952 & J9E0 & .3997 & .0015 \\\hline 1.3 & \( \triangle 032 \) & 4009 & .4066 & 4082 & 4099 & 4115 & \( .4!31 \) & 4147 & 4162 & 417 \\\hline 1.4 & 4192 & 4307 & 4272 & -4236 & 4251 & 4265 & .4279 & \( A 2 n 2 \) & 4306 & 4319 \\\hline 1.5 & .4332 & .4345 & A]57 & 4370 & .4382 & \( A 394 \) & 4406 & .418 & 4499 & 441 \\\hline 1.6 & 449 & 466 & 4474 & .484 & .4495 & 4305 & 4515 & 4525 & .4535 & 4545 \\\hline 1.7 & .4554 & 4564 & .4513 & .4582 & .4591 & 4590 & .4608 & 4616 & 4525 & .4613 \\\hline 1.8 & .4641 & 4649 & 4656 & 4664 & 4671 & 4678 & 4686 & 4693 & 4699 & 4706 \\\hline 19 & 4713 & .4719 & .4726 & .4712 & .4778 & .4744 & 4750 & .4756 & 4761 & .4767 \\\hline 2.0 & 4772 & .4778 & 4783 & 478 & 4793 & 4798 & A. & 408 & 4812 & 4317 \\\hline 2.1 & 4821 & .4826 & 4830 & .6134 & .4838 & .4842 & 4846 & .4450 & .4854 & 4857 \\\hline 2. & .4861 & 4864 & 4868 & .471 & .4875 & .4878 & 4881 & .438 & .4837 & 4890 \\\hline 23 & 4893 & 4896 & 4858 & 4901 & 4904 & 4706 & 4909 & 4911 & . 13 & .4916 \\\hline 2.4 & 4918 & 4920 & 4922 & 4925 & 4927 & 4929 & 4931 & .4912 & 4934 & .4956 \\\hline 2.5 & 4938 & .4940 & \( .4 \% 41 \) & .4943 & .4945 & 4946 & 494 & \( A S 49 \) & 4951 & .4992 \\\hline 26 & 4953 & .4955 & 4956 & .4857 & 4959 & 4950 & 4961 & .4862 & 4963 & 4054 \\\hline 27 & 4965 & .4966 & .4967 & .468 & .496 & 4970 & 4971 & . 372 & . 977 & \( A 974 \) \\\hline 28 & .4974 & 4975 & 4976 &.\( \otimes 7 \) &.\( * 977 \) & 4978 & 4979 & 4979 & 4930 & A931 \\\hline 29 & 4981 & .082 & 4982 & 4983 & .0934 & .4554 & 4915 & 4985 & 4966 & 4886 \\\hline 3.0 & 4987 & 4987 & 4987 & 4988 & 4985 & \( A 989 \) & .4989 & 4989 & 4990 & \( \Delta 990 \) \\\hline 3.1 & 4990 & 4991 & .4991 & 4991 & 4992 & 4992 & 4992 & 4992 & A993 & 4993 \\\hline 32 & 4593 & .439 & 4954 & 4994 & .4994 & 4594 & 4994 & 4995 & 4995 & 4995 \\\hline 13 & 4995 & A395 & 4995 & 496 & 4996 & .4996 & 4995 & 406 & 4996 & 4997 \\\hline 1.4 & .4997 & .897 & 4997 & 4997 & .497 & 4997 & 4997 & 4997 & .497 & \( A 998 \) \\\hline 3.6 & 4998 & 4995 & \( 45 \% 9 \) & 490 & 4090 & .4099 & 4909 & 4009 & \( A 999 \) &.\( * 99 \) \\\hline\end{tabular}Tabel F \( (\alpha=0,05) \)\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|}\hline \begin{tabular}{l}\( v_{2} v_{1} \)\end{tabular} & 1. & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 \\\hline 1 & 161. 448 & 199.500 & 215.707 & 224.583 & 230.162 & 233.986 & 236.768 & 238.882 & 240.543 & 241. 882 \\\hline 2 & 18.513 & 19.000 & 19.164 & 19.247 & 19.296 & 19.330 & 19.353 & 19.371 & 19.385 & 19.396 \\\hline 3 & 10.128 & 9.552 & 9.277 & 9.117 & 9.013 & 8. 941 . & 8. 887 & 8. 845 & 8. 812 & B. 786 \\\hline 4 & 7.709 & 6.944 & 6.591 & 6.388 & 6.256 & 6.163 & 6.094 & 6.041 & 5.999 & 5.964 \\\hline 5 & 6.608 & 5.786 & 5. 409 & 5. 192 & 5. ese & 4. 950 & 4.876 & 4. 818 & 4. 772 & 4. 735 \\\hline 6 & 5. 987 & 5.143 & 4.757 & 4. 534 & 4. 387 & 4. 284 & 4. 207 & 4.147 & 4. 099 & 4. 060 \\\hline 7 & 5. 591 & 4.737 & 4.347 & 4. 120 & 3.972 & 3. 866 & 3.787 & 3.726 & 3.677 & 3.637 \\\hline E & 5.318 & 4. 459 & 4. 066 & 3.838 & 3.687 & 3. 581 & 3. 500 & 3. 438 & 3,388 & 3.347 \\\hline 9 & 5.117 & 4. 256 & 3.863 & 3.633 & 3. 482 & 3.374 & 3. 293 & 3.230 & 3.179 & 3.137 \\\hline 10 & 4. 965 & 4. 103 & 3.708 & 3.478 & 3. 326 & 3.217 & 3.135 & 3.072 & 3.020 & 2.978 \\\hline 11. & 4. B44 & 3.982 & 3. 587 & 3.357 & 3. 204 & 3.095 & 3.012 & 2. 948 & 2. 896 & 2.854 \\\hline 12 & 4.747 & 3. 885 & 3.490 & 3.259 & 3.106 & 2.996 & 2.913 & 2. 849 & 2.796 & 2.753 \\\hline 13 & 4. 667 & 3.806 & 3.411 & 3.179 & 3.025 & 2.915 & 2. 832 & 2.767 & 2.714 & 2.671 \\\hline 14 & 4. 600 & 3.739 & 3.344 & 3.112 & 2.950 & 2. 848 & 2.764 & 2.699 & 2,646 & 2.602 \\\hline 15 & 4. 543 & 3.682 & 3. 287 & 3.056 & 2. 901 & 2.790 & 2.707 & 2. 641 & 2. 588 & 2. 544 \\\hline 16 & 4. 494 & 3.634 & 3.239 & 3.007 & 2.852 & 2.741 & 2,657 & 2.591 & 2.538 & 2.494 \\\hline 17 & 4. 451 & 3. 592 & 3.197 & 2.965 & 2.810 & 2.699 & 2.614 & 2. 548 & 2.494 & 2.450 \\\hline 18 & 4. 41.4 & 3.555 & 3.160 & 2.928 & 2.773 & 2.661 & 2.577 & 2.510 & 2.456 & 2.412 \\\hline 19 & 4. 381 & 3.522 & 3.127 & 2.895 & 2.740 & 2.628 & 2,544 & 2.477 & 2.423 & 2.378 \\\hline 20 & 4. 351 & 3.493 & 3.098 & 2.866 & 2.711 & 2. 599 & 2.514 & 2.447 & 2.393 & 2.348 \\\hline 21 & 4.325 & 3.467 & 3.072 & 2.840 & 2.685 & 2.573 & 2.488 & 2.420 & 2.366 & 2.321 \\\hline 22 & 4.301 & 3.443 & 3.049 & 2.817 & 2.661 & 2.549 & 2.464 & 2.397 & 2.342 & 2.297 \\\hline 23 & 4.279 & 3.422 & 3.028 & 2.796 & 2.640 & 2. 528 & 2.442 & 2.375 & 2,320 & 2.275 \\\hline 24 & 4. 260 & 3.403 & 3.009 & 2.776 & 2.621 & 2. 508 & 2.423 & 2.355 & 2.300 & 2.255 \\\hline 25 & 4. 242 & 3.385 & 2.991 & 2.759 & 2.603 & 2.490 & 2.405 & 2.337 & 2.282 & 2.236 \\\hline 26 & 4. 225 & 3.369 & 2.975 & 2.743 & 2. 587 & 2. 47 4 & 2.388 & 2.321 & 2.265 & 2.220 \\\hline 27 & 4.210 & 3.354 & 2.960 & 2.728 & 2.572 & 2. 459 & 2.373 & 2.305 & 2.250 & 2.204 \\\hline\end{tabular}
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`; var commentContainer = document.getElementById('qd-comment-container'); if (!commentContainer) { commentContainer = document.createElement('div'); commentContainer.id = "qd-comment-container"; commentContainer.className = 'qd-comment-container'; document.querySelector('.new-comment-container').parentElement.appendChild(commentContainer); } commentContainer.insertBefore(newComment, commentContainer.firstChild); var allComments = commentContainer.querySelectorAll('.qd-comment'); for (var i = 0; i < allComments.length; i++) { if (i < 3) { allComments[i].classList.remove('hide-5recommended'); } else { allComments[i].classList.add('hide-5recommended'); } } var moreCommentsButton = commentContainer.querySelectorAll('.hide-5recommended-button') if (moreCommentsButton.length == 0) { commentContainer.innerHTML += '
'; } if (allComments.length > 3) $('.hide-5recommended-button').css('display', 'block'); } function addNewReplyToUI(commentId, replyText) { let newReply = document.createElement('div'); newReply.className = 'qd-reply'; newReply.innerHTML = `
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`; var replyBody = document.getElementById('reply_body_'+commentId); var replyContainer = replyBody.querySelector("#qd-reply-container"); if (!replyContainer) { replyContainer = document.createElement('div'); replyContainer.id = "qd-reply-container"; } replyContainer.appendChild(newReply); } function createNewReply(event, commentId) { const newReplyInput = $('#newReply_'+commentId); const replyText = newReplyInput.val().trim(); newReplyInput.val(''); document.getElementById('comment_'+commentId).style.display = 'none'; url = "/ask/comment/"; addNewReplyToUI(commentId, replyText); $.ajax({ type: 'POST', url: url, data: { 'comment': replyText, 'question_id': 129923640, 'parent_id': commentId, 'csrfmiddlewaretoken': 'dyKqBRvgGaY1mEh9OdpuPCs2i1bep7g2jmulZZLENpDPXJ20CPtAEoc3iloFJIVE', }, success: function (response) { console.log('Reply submitted:', response); }, error: function (error) { console.error('Error submitting:', error); } }); }; function hideAllReplyInputs() { var inputReplies = document.querySelectorAll('.input-reply'); for (var i = 0; i < inputReplies.length; i++) { inputReplies[i].querySelector("textarea").value = ''; inputReplies[i].style.display = 'none'; } } function openReplyInput(e, comment_id) { hideAllReplyInputs(); const replyCommentContainer = document.getElementById('comment_'+comment_id); replyCommentContainer.style.display = 'flex'; const replyCommentInput = $('#newReply_'+comment_id); if ((typeof replyCommentInput === 'undefined') || !replyCommentInput || !replyCommentInput.length) return; toggleSubmitIcon(replyCommentInput, submitReplyIcon); replyCommentInput.on('input', function () { limitTextareaLength(replyCommentInput); autoResizeTextarea(replyCommentInput); toggleSubmitIcon(replyCommentInput, submitReplyIcon); }); } submitCommentIcon.on('click', function () { if (!submitCommentIcon.hasClass('disabled')) { createNewComment(); } }); for (let i = 0; i < currentDBCommentIds.length; i++) { let comment_id = currentDBCommentIds[i]; let replyInput = document.getElementById('open_reply_input_'+comment_id); replyInput.addEventListener('click', function (e) { const commentId = e.currentTarget.id.split('_').pop(); openReplyInput(e, commentId); }); let submitReply = document.getElementById('submit_reply_'+comment_id); submitReply.addEventListener('click', function (e) { if (!submitReplyIcon.hasClass('disabled')) { const commentId = e.currentTarget.id.split('_').pop(); createNewReply(e, commentId); } }); } });
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