матстат
.pdfГерлейн О.В. |
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11 |
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8 |
X |
–4.987 |
3.874 |
1.606 |
3.361 |
1.687 |
0.991 |
–11.994 |
–6.09 |
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Y |
–6.904 |
9.675 |
6.019 |
9.419 |
6.966 |
5.52 |
–21.116 |
–9.901 |
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X |
–0.056 |
–5.972 |
–1.238 |
–0.763 |
–2.87 |
–6.29 |
2.405 |
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Y |
3.872 |
–9.468 |
2.273 |
–0.222 |
–1.214 |
–7.188 |
7.575 |
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9 |
X |
–0.111 |
0.167 |
–0.783 |
–2.572 |
0.558 |
1.016 |
0.348 |
1.772 |
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Y |
–0.611 |
–9.194 |
–6.395 |
–13.155 |
–7.037 |
–0.359 |
–0.399 |
–2.346 |
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X |
2.111 |
3.516 |
–2.694 |
6.034 |
3.04 |
0.847 |
0.101 |
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Y |
8.943 |
–0.641 |
–0.814 |
6.623 |
–2.174 |
–4.059 |
0.442 |
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10 |
X |
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–0.825 |
–0.658 |
–0.832 |
1.2 |
–0.193 |
–2.05 |
–0.605 |
–0.315 |
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Y |
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10.575 |
1.408 |
–23.196 |
15.557 |
–6.333 |
–8.882 |
–11.582 |
–16.36 |
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X |
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2.35 |
–0.637 |
–0.503 |
2.115 |
–0.801 |
4.427 |
0.264 |
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Y |
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–3.379 |
–15.29 |
1.772 |
0.362 |
–4.942 |
1.712 |
15.249 |
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11 |
X |
0.682 |
–0.614 |
–2.913 |
–2.754 |
–2.656 |
–0.345 |
–1.704 |
1.704 |
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Y |
–12.852 |
15.851 |
–12.315 |
3.084 |
–11.834 |
–9.111 |
4.832 |
–11.758 |
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X |
–3.656 |
–0.139 |
–0.025 |
2.621 |
–2.195 |
0.202 |
2.193 |
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Y |
–4.552 |
7.853 |
18.607 |
–3.048 |
–4.235 |
9.168 |
10.248 |
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12 |
X |
–1.105 |
0.868 |
1.941 |
–1.477 |
–0.076 |
–1.043 |
0.372 |
–1.043 |
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Y |
4.269 |
9.783 |
12.154 |
–13.444 |
8.797 |
–7.24 |
16.169 |
3.91 |
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X |
–1.279 |
–2.292 |
0.206 |
1.623 |
–0.455 |
–4.076 |
–0.941 |
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Y |
3.935 |
15.171 |
–3.238 |
20.272 |
–3.433 |
–9.358 |
–8.341 |
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13 |
X |
–2.07 |
0.404 |
–1.96 |
2.793 |
1.692 |
–1.82 |
–2.143 |
0.822 |
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Y |
2.249 |
–16.375 |
–12.108 |
6.09 |
14.304 |
–8.687 |
–7.723 |
22.213 |
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X |
–1.079 |
–0.725 |
0.447 |
1.559 |
–0.194 |
–1.236 |
–4.506 |
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Y |
–3.647 |
2.218 |
11.291 |
–5.649 |
7.16 |
24.184 |
11.975 |
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14 |
X |
–1.644 |
–0.878 |
–0.89 |
1.999 |
–3.507 |
0.173 |
–4.158 |
–3.645 |
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Y |
–2.026 |
12.799 |
13.037 |
19.017 |
23.779 |
12.654 |
11.919 |
0.929 |
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X |
0.938 |
–1.381 |
–3.606 |
1.339 |
–0.148 |
–1.209 |
–2.392 |
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Y |
3.771 |
14.492 |
8.348 |
–3.705 |
–8.184 |
–3.405 |
12.577 |
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15 |
X |
–0.551 |
–0.23 |
–0.106 |
–2.775 |
2.319 |
–0.615 |
–1.054 |
–3.185 |
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Y |
–10.951 |
12.784 |
–3.606 |
4.269 |
15.325 |
0.205 |
21.012 |
9.51 |
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X |
–4.728 |
1.495 |
–2.232 |
–0.731 |
1.397 |
–1.224 |
–1.171 |
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Y |
27.754 |
–2.242 |
5.799 |
4.826 |
–10.824 |
–1.957 |
16.399 |
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16 |
X |
–1.912 |
4.523 |
–0.222 |
–0.542 |
1.264 |
–0.949 |
–0.513 |
–1.208 |
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Y |
–4.39 |
–5.245 |
6.113 |
1.272 |
7.447 |
–5.868 |
–5.683 |
–20.858 |
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X |
1.409 |
–1.813 |
1.332 |
–0.333 |
0.411 |
–2.15 |
0.864 |
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Y |
4.818 |
–2.028 |
–10.5 |
2.677 |
1.962 |
0.443 |
21.922 |
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17 |
X |
–1.061 |
0.591 |
–2.272 |
1.438 |
–0.786 |
0.227 |
–2.45 |
–1.358 |
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Y |
1.108 |
–5.42 |
–6.696 |
–15.749 |
0.604 |
5.6 |
6.927 |
–12.176 |
Герлейн О.В. |
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12 |
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X |
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–3.014 |
–1.388 |
0.569 |
–0.116 |
–0.417 |
–4.5850 |
–1.467 |
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Y |
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14.867 |
0.183 |
–4.233 |
–19.772 |
0.14 |
4.523 |
–9.801 |
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18 |
X |
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–3.612 |
–0.67 |
–0.437 |
6.001 |
6.926 |
4.594 |
8.662 |
–3.548 |
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Y |
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–4.652 |
2.623 |
2.925 |
16.764 |
19.384 |
14.043 |
21.13 |
–1.25 |
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X |
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0.138 |
6.892 |
4.024 |
4.64 |
–2.018 |
–2.123 |
0.896 |
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Y |
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5.092 |
17.666 |
13.011 |
12.939 |
–1.254 |
0.277 |
4.883 |
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19 |
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2.181 |
–0.277 |
–1.102 |
2.222 |
–1.287 |
–0.043 |
–1.992 |
0.773 |
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Y |
1.131 |
–7.359 |
–5.862 |
–1.53 |
–2.391 |
3.705 |
–3.384 |
4.14 |
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X |
2.882 |
1.373 |
–3.02 |
1.332 |
–2.51 |
1.501 |
3.809 |
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Y |
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–6.567 |
3.948 |
–9.05 |
–2.653 |
–18.095 |
–4.123 |
–9.65 |
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20 |
X |
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0.14 |
0.875 |
–0.399 |
–3.334 |
0.029 |
–0.517 |
–0.859 |
–0.424 |
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Y |
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4.499 |
–11.776 |
–7.779 |
1.058 |
–4.034 |
–2.842 |
–10.317 |
6.482 |
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X |
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0.039 |
0.379 |
0.278 |
–4.657 |
0.782 |
0.732 |
4.636 |
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Y |
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12.36 |
–20.694 |
15.673 |
–6.931 |
22.99 |
–1.26 |
18.032 |
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21 |
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X |
1.991 |
1.619 |
–2.023 |
–0.727 |
3.314 |
0.147 |
–0.563 |
–0.813 |
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Y |
–6.922 |
9.229 |
15.093 |
1.123 |
–21.609 |
9.451 |
–22.941 |
2.193 |
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X |
0.894 |
1.092 |
–0.058 |
0.266 |
0.945 |
–1.444 |
–0.169 |
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Y |
–2.419 |
–7.153 |
–2.961 |
0.026 |
4.406 |
17.23 |
–2.743 |
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22 |
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X |
–1.912 |
4.523 |
–0.222 |
–0.542 |
1.264 |
–0.949 |
–0.513 |
–1.208 |
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Y |
–4.39 |
–5.245 |
6.113 |
1.272 |
7.447 |
–5.868 |
–5.683 |
–20.858 |
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X |
1.409 |
–1.813 |
1.332 |
–0.333 |
0.411 |
–2.15 |
0.864 |
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Y |
4.818 |
–2.028 |
–10.5 |
2.677 |
1.962 |
0.443 |
21.922 |
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23 |
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X |
–1.061 |
0.591 |
–2.272 |
1.438 |
–0.786 |
0.227 |
–2.45 |
–1.358 |
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Y |
1.108 |
–5.42 |
–6.696 |
–15.749 |
0.604 |
5.6 |
6.927 |
–12.176 |
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X |
–3.014 |
–1.388 |
0.569 |
–0.116 |
–0.417 |
–4.5850 |
–1.467 |
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Y |
14.867 |
0.183 |
–4.233 |
–19.772 |
0.14 |
4.523 |
–9.801 |
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24 |
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X |
–4.987 |
3.874 |
1.606 |
3.361 |
1.687 |
0.991 |
–11.994 |
–6.09 |
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Y |
–6.904 |
9.675 |
6.019 |
9.419 |
6.966 |
5.52 |
–21.116 |
–9.901 |
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X |
–0.056 |
–5.972 |
–1.238 |
–0.763 |
–2.87 |
–6.29 |
2.405 |
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Y |
3.872 |
–9.468 |
2.273 |
–0.222 |
–1.214 |
–7.188 |
7.575 |
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25 |
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X |
–2.7 |
–0.931 |
–0.257 |
1.383 |
–0.315 |
–3.05 |
0.054 |
0.835 |
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Y |
–14.902 |
–18.113 6.138 |
13.813 |
–0.227 |
4.927 |
2.576 |
1.184 |
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X |
1.661 |
3.333 |
–1.12 |
0.377 |
–2.28 |
–5.092 |
3.124 |
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Y |
–14.133 |
1.527 |
11.866 |
2.121 |
–6.254 |
13.972 |
13.972 |
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26 |
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X |
–0.111 |
0.167 |
–0.783 |
–2.572 |
0.558 |
1.016 |
0.348 |
1.772 |
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Y |
–0.611 |
–9.194 |
–6.395 |
–13.155 |
–7.037 |
–0.359 |
–0.399 |
–2.346 |
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X |
2.111 |
3.516 |
–2.694 |
6.034 |
3.04 |
0.847 |
0.101 |
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Y |
8.943 |
–0.641 |
–0.814 |
6.623 |
–2.174 |
–4.059 |
0.442 |
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27 |
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X |
–3.612 |
–0.67 |
–0.437 |
6.001 |
6.926 |
4.594 |
8.662 |
–3.548 |
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Y |
–4.652 |
2.623 |
2.925 |
16.764 |
19.384 |
14.043 |
21.13 |
–1.25 |
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X |
0.138 |
6.892 |
4.024 |
4.64 |
–2.018 |
–2.123 |
0.896 |
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Герлейн О.В. |
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13 |
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Y |
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17.666 |
13.011 |
12.939 |
–1.254 |
0.277 |
4.883 |
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5.092 |
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28 |
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2.181 |
–0.277 |
–1.102 |
2.222 |
–1.287 |
–0.043 |
–1.992 |
0.773 |
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Y |
1.131 |
–7.359 |
–5.862 |
–1.53 |
–2.391 |
3.705 |
–3.384 |
4.14 |
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X |
2.882 |
1.373 |
–3.02 |
1.332 |
–2.51 |
1.501 |
3.809 |
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Y |
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–6.567 |
3.948 |
–9.05 |
–2.653 |
–18.095 |
–4.123 |
–9.65 |
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29 |
X |
|
0.14 |
0.875 |
–0.399 |
–3.334 |
0.029 |
–0.517 |
–0.859 |
–0.424 |
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Y |
|
4.499 |
–11.776 |
–7.779 |
1.058 |
–4.034 |
–2.842 |
–10.317 |
6.482 |
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X |
|
0.039 |
0.379 |
0.278 |
–4.657 |
0.782 |
0.732 |
4.636 |
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Y |
|
12.36 |
–20.694 |
15.673 |
–6.931 |
22.99 |
–1.26 |
18.032 |
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30 |
X |
–1.124 |
–2.081 |
–0.953 |
–0.514 |
–0.196 |
–1.853 |
–0.469 |
–0.613 |
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Y |
6.97 |
4.261 |
6.42 |
–3.659 |
3.114 |
6.043 |
4.598 |
22.696 |
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X |
–2.188 |
–0.091 |
–0.434 |
–2.971 |
0.642 |
0.928 |
–5.095 |
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Y |
8.84 |
–1.422 |
14.659 |
25.827 |
–13.594 |
13.093 |
6.626 |
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Порядок выполнения задания
1.Определите и введите компоненты вектора выборочных значений СВ.
2.Вычислите выборочные средние для m x и m у. и величины, x2 и y2 .
3.Найдите для заданного значения доверительной вероятности квантиль уровня 1— 0.5α стандартного нормального распределения.
4.Найдите точечную оценку коэффициента корреляции.
5.Вычислите доверительный интервал для коэффициента корреляции с заданным значением доверительной вероятности α.
6.Найдите точечную оценку коэффициента корреляции по другой формуле.
7.Вычислите доверительный интервал для коэффициента корреляции с заданным значением доверительной вероятности α, используя точечную оценку коэффициента корреляции, найденную в п. 6.
ЗАДАНИЕ 3.15
Смоделируйте выборку 100 значений нормально распределенной случайной величины с указанными параметрами. Сформулируйте нулевую гипотезу о величине математического ожидания (при известной дисперсии) и проверьте для заданных уровней значимости три альтернативные – гипотезы.
№ a |
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№ а |
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№ а |
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№ а |
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№ а |
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№ а |
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1 |
2.2 |
4 |
6 |
1.5 |
0.1 |
11 |
4 |
2.2 |
16 |
1.2 |
3 |
21 |
4.2 |
6 |
26 |
5.5 |
4.1 |
2 |
3.1 |
4.5 |
7 |
2 |
0.2 |
12 |
4.5 |
3.1 |
17 |
2.1 |
3.5 |
22 |
3 |
1.2 |
27 |
6.1 |
4.2 |
3 |
32 |
6 |
8 |
2.5 |
1.1 |
13 |
5 |
3.2 |
18 |
4.1 |
5.5 |
23 |
3.5 |
2.1 |
28 |
5.4 |
4.7 |
4 |
5.5 |
4.1 |
9 |
4.2 |
6 |
14 |
2.2 |
4.2 |
19 |
4.0 |
6.5 |
24 |
5.3 |
3.2 |
29 |
2.5 |
5.2 |
5 |
6 |
4.2 |
10 |
3 |
1.2 |
15 |
3.1 |
4.4 |
20 |
4.2 |
6.2 |
25 |
3.2 |
4.4 |
30 |
1.5 |
2.7 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Порядок выполнения задания
1.Смоделируйте описанную в условии выборку.
2.Найдите по выборке точечную оценку математического ожидания.
3.Сформулируйте нулевую гипотезу о значении математического ожидания H0:a=a0.
4.Вычислите значение критерия.
5.Найдите границы критической области для альтернативы H1:a a0.
6.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение.
7.Найдите границы критической области для альтернативы H1:a> a0.
8.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение.
Герлейн О.В. |
14 |
9.Найдите границы критической области для альтернативы H1:a> a0.
10.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение.
ЗАДАНИЕ 3.16
Смоделируйте выборку 100 значений нормально распределенной случайной величины с указанными параметрами. Сформулируйте нулевую гипотезу о величине математического ожидания и проверьте для заданных уровней значимости три альтернативные гипотезы.
Порядок выполнения задания
1.Смоделируйте описанную в условии выборку.
2.Найдите по выборке точечную оценку математического ожидания.
3.Найдите по выборке точечную оценку дисперсии.
4. Сформулируйте нулевую гипотезу о значении математического ожидания
H0:а = а 0 .
5.Вычислите значение критерия.
6.Найдите границы критической области для альтернативы H1: а а 0 .
7.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение.
8.Найдите границы критической области для альтернативы H1: а > а 0 .
9.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение.
10.Найдите границы критической области для альтернативы H1: а < а 0 .
11.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение.
ЗАДАНИЕ 3.17
Смоделируйте выборку 100 значений нормально распределенной случайной величины с указанными параметрами. Сформулируйте нулевую гипотезу о величине дисперсии и проверьте для заданных уровней значимости три альтернативные гипотезы.
Порядок выполнения задания
1.Смоделируйте описанную в условии выборку.
2.Найдите по выборке точечную оценку математического ожидания.
3.Найдите по выборке точечную оценку дисперсии.
4.Сформулируйте нулевую гипотезу о значении математического ожидания
H0:σ2=σ02.
5.Вычислите значение критерия.
6.Найдите границы критической области для альтернативы H1: σ2 σ02.
7.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение.
8.Найдите границы критической области для альтернативы H1: σ2> σ02.
9.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение.
10.Найдите границы критической области для альтернативы H1: σ2< σ02.
11.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение.
ЗАДАНИЕ 3.18
Смоделируйте две выборки из 100 и 120 значений нормально распределенной случайной величины с указанными параметрами. Сформулируйте нулевую гипотезу о равенстве математических ожиданий и проверьте для заданных уровней значимости три альтернативные гипотезы.
Порядок выполнения задания
Герлейн О.В. |
15 |
1.Смоделируйте описанные в задании выборки.
2.Найдите по выборкам точечные оценки математического ожидания.
3.Вычислите значение критерия.
4.Сформулируйте нулевую гипотезу о равенстве математических ожиданий.
5.Найдите границы критической области для альтернативы H1: aξ aη.
6.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение,
7.Найдите границы критической области для альтернативы H1: aξ > aη.
8.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение.
9.Найдите границы критической области для альтернативы H1: aξ < aη.
10.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение.
ЗАДАНИЕ 3.19
Смоделируйте две выборки из 100 и 120 значений нормально распределенной случайной величины с указанными параметрами. Сформулируйте нулевую гипотезу о равенстве математических ожиданий и проверьте для заданного уровня значимости альтернативную гипотезу.
Порядок выполнения задания
1.Смоделируйте описанные в условии выборки.
2.Найдите по выборкам точечные оценки математического ожидания.
3.Сформулируйте нулевую гипотезу о равенстве математических ожиданий
4.Вычислите значение критерия.
5.Найдите границы критической области для альтернативы H1: aξ aη.
6.Сравните значение критерия с границами критической области и сформулируйте соответствующее утверждение.
ЗАДАНИЕ 3.20. Проверка статистических гипотез по критериям согласия Пирсона 2 и
информационным критерием Iп(f)
Произведено n=100 испытаний случайной величины X, распределенной либо
-по Гауссу ( гипотеза N ) либо
-по закону Лапласа (гипотеза L) либо
-по показательному закону (гипотеза Е) либо
-равномерно на [a, b] (гипотеза R)
Пользуясь критерием согласия Пирсона 2 и информационным критерием Iп(f) при заданных уровнях значимости = 0,1; 0,01 установить, какая из выдвинутых гипотез о законе распределении генеральной совокупности согласуется с данными выборки объема n
Порядок выполнения задания
1.Вычислите выборочные среднюю mx и дисперсию sx2.:
2.Размах выборки R=Xmax– Xmin разбить на k =7 равномерных интервалов
3.Построить по данным выборочных наблюдений гистограмму распределения.
4.По критерию Пирсона 2 и информационным критерием Iп(f) проверить гипотезы N,
L, E и R при уровнях значимости =0,1 =0,01 и =0,7, ,
Поскольку параметры распределений заменяются сответствующими выборочными оценками, число степеней свободы u - 2u, u=k– l–1, где l- число параметров распределения, k - число интервалов, на которые разбита выборка
Вычисления проводить с точностью до 0.001 Ниже приведена выборки объема n=100 значений случайной величины X
Вариант №1
Герлейн О.В. |
|
|
16 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
45.207 |
39.144 |
11.117 |
13.957 |
2.964 |
6.308 |
1.417 |
13.201 |
4.665 |
6.308 |
22.259 |
12.835 |
1.234 |
13.201 |
10.793 |
10.793 |
37.524 |
59.611 |
5.350 |
27.360 |
16.449 |
3.532 |
5.5S5 |
1.791 |
0.343 |
9.556 |
20.468 |
40.935 |
7.323 |
29.152 |
11.117 |
14.748 |
4.443 |
7.323 |
0.694 |
12.127 |
13.575 |
16.902 |
30.123 |
4.224 |
36.044 |
17.368 |
11.117 |
7.855 |
16.902 |
20.463 |
12.477 |
6.063 |
39.144 |
12.477 |
7.323 |
28.232 |
36.044 |
3.582 |
23.567 |
10.475 |
1.603 |
4.224 |
66.504 |
7.064 |
33.424 |
4.224 |
12.477 |
4.665 |
0.694 |
16.007 |
24.261 |
17.847 |
8.684 |
18.340 |
7.355 |
50.927 |
13.847 |
16.902 |
1.931 |
39.144 |
0.372 |
22.259 |
4.007 |
50.927 |
5.350 |
11.117 |
19.910 |
8.403 |
3.582 |
6.308 |
5.119 |
1.791 |
0.343 |
20.468 |
13.957 |
9.260 |
19.370 |
3.582 |
0.171 |
15.577 |
4.891 |
59.611 |
8.970 |
14.748 |
|
|
|
|
Вариант №2 |
|
|
|
|
|
51.631 |
33.873 |
43.095 |
29.903 |
49.410 |
53.991 |
41.428 |
54.191 |
45.828 |
45.321 |
54.271 |
53.798 |
48.019 |
47.000 |
42.034 |
38.129 |
52.594 |
48.567 |
42.399 |
35.735 |
47.134 |
50.456 |
51.824 |
41.811 |
53.947 |
41.500 |
39.040 |
43.703 |
47.061 |
54.434 |
42.549 |
40.406 |
50.230 |
29.337 |
58.129 |
50.061 |
42.180 |
43.388 |
46.332 |
45.460 |
43.161 |
47.865 |
41.930 |
39.542 |
45.446 |
50.144 |
41.672 |
44.394 |
42.832 |
42.949 |
47.278 |
39.254 |
46.140 |
41.904 |
55.443 |
51.005 |
47.712 |
45.030 |
35.085 |
46.681 |
51.917 |
52.247 |
54.894 |
34.463 |
46.643 |
42.872 |
32.837 |
41.681 |
46.806 |
43.123 |
49.650 |
38.314 |
35.843 |
43.615 |
44.346 |
40.488 |
39.214 |
42.861 |
37.709 |
39.979 |
41.905 |
42.773 |
43.798 |
47.710 |
37.921 |
44.161 |
35.446 |
59.254 |
37.796 |
54.235 |
47.756 |
50.331 |
40.032 |
46.102 |
41.608 |
44.309 |
44.359 |
44.268 |
49.155 |
41.708 |
|
|
|
|
Вариант №3 |
|
|
|
|
|
15.829 |
27.489 |
45.424 |
84.402 |
8.630 |
7.841 |
13.389 |
14.341 |
4.525 |
21.400 |
9.033 |
37.136 |
12.923 |
0.302 |
40.412 |
0.606 |
13.618 |
10.275 |
58.983 |
9.855 |
23.296 |
16.342 |
12.465 |
38.189 |
17.935 |
56.914 |
12.465 |
63.608 |
15.829 |
105.197 |
117.361 |
19.046 |
4.173 |
5.954 |
35.135 |
7.454 |
5.590 |
117.361 |
30.650 |
11.132 |
34.183 |
27.489 |
49.822 |
66.218 |
12.923 |
5.954 |
24.629 |
105.197 |
10.700 |
8.630 |
24.629 |
27.489 |
12.465 |
17.935 |
35.135 |
1.856 |
51.444 |
17.935 |
2.829 |
39.280 |
41.589 |
23.296 |
17.395 |
29.828 |
10.700 |
13.361 |
17.935 |
34.183 |
25.313 |
69.073 |
36.119 |
26.748 |
11.132 |
20.794 |
28.248 |
26.025 |
3.835 |
23.296 |
7.072 |
16.864 |
1.225 |
12.465 |
36.119 |
32.364 |
56.914 |
84.402 |
9.441 |
32.364 |
9.855 |
5.590 |
25.319 |
7.454 |
138.155 |
3.496 |
35.135 |
39.280 |
5.590 |
40.412 |
39.280 |
1.539 |
|
|
|
|
Вариант №4 |
|
|
|
|
|
28.970 |
0.364 |
82.893 |
12.477 |
26.454 |
13.211 |
3.354 |
4.705 |
7.209 |
8.897 |
5.178 |
22.282 |
14.778 |
4.940 |
28.092 |
16.049 |
38.165 |
22.913 |
3.793 |
10.437 |
2.301 |
63.118 |
10.761 |
0.735 |
82.893 |
11.428 |
0.923 |
11.091 |
13.211 |
21.031 |
10.118 |
82.893 |
4.705 |
1.693 |
7.209 |
47.367 |
11.771 |
4.705 |
4.472 |
0.543 |
5.420 |
9.135 |
9.805 |
70.416 |
0.923 |
28.970 |
15.615 |
8.605 |
26.454 |
0.923 |
21.081 |
28.970 |
1.698 |
30.866 |
50.641 |
2.301 |
2.301 |
36.724 |
27.254 |
5.913 |
22.913 |
13.590 |
4.705 |
32.986 |
32.986 |
12.840 |
5.665 |
6.679 |
9.805 |
34.148 |
28.970 |
47.867 |
0.364 |
63.118 |
16.049 |
13.211 |
0.735 |
6.942 |
50.641 |
8.897 |
7.479 |
5.420 |
8.897 |
18.897 |
12.840 |
41.447 |
9.805 |
4.705 |
1.698 |
2.715 |
0.364 |
12.120 |
14.773 |
2.093 |
15.191 |
8.897 |
41.447 |
35.390 |
11.771 |
7.209 |
|
|
|
|
Вариант №5 |
|
|
|
|
|
–17.360 |
–22.530 |
–24.020 |
–22.040 |
–22.940 |
–23.120 |
–8.000 |
–10.700 |
–9.800 |
–17.720 |
–21.860 |
–10.520 |
–24.920 |
–10.520 |
–17.180 |
–21.140 |
–13.160 |
–24.380 |
–8.720 |
–13.220 |
–22.760 |
–25.100 |
–3.360 |
–13.220 |
–17.540 |
–13.760 |
–10.700 |
–20.780 |
–24.020 |
–13.760 |
–14.430 |
–11.420 |
–11.060 |
–21.860 |
–16.640 |
–9.440 |
–25.820 |
–16.460 |
–12.320 |
–9.440 |
–19.160 |
–3.900 |
–11.960 |
–8.180 |
–8.000 |
–11.960 |
–14.300 |
–8.720 |
–20.060 |
–23.120 |
–9.260 |
–11.960 |
–22.220 |
–14.430 |
–9.440 |
–13.220 |
–9.620 |
–22.220 |
–17.360 |
–10.340 |
–12.140 |
–24.330 |
–23.660 |
–11.600 |
–8.180 |
–17.900 |
–23.340 |
–24.740 |
–15.740 |
–13.530 |
–15.380 |
–23.480 |
–16.820 |
–20.240 |
–25.460 |
–8.900 |
–11.600 |
–19.880 |
–14.300 |
–8.000 |
–13.760 |
–17.000 |
–17.540 |
–9.980 |
–19.700 |
–21.320 |
–23.300 |
–15.740 |
–25.460 |
–25.640 |
–11.960 |
–12.630 |
–25.820 |
–9.080 |
–19.880 |
–22.580 |
–21.500 |
–15.380 |
–16.820 |
–25.460 |
Герлейн О.В. |
|
|
17 |
|
|
|
|
|
|
|
|
|
|
Вариант №6 |
|
|
|
|
|
28.227 |
27.602 |
28.217 |
29.591 |
23.423 |
28.845 |
32.114 |
26.388 |
29.182 |
27.158 |
29.849 |
29.960 |
27.866 |
31.921 |
28.222 |
25.441 |
26.344 |
29.646 |
29.7?7 |
30.345 |
32.494 |
26.479 |
29.392 |
31.074 |
29.701 |
26.697 |
28.584 |
31.408 |
25.359 |
25.211 |
30.207 |
29.012 |
29.369 |
24.065 |
28.853 |
25.933 |
30.638 |
26.935 |
29.374 |
29.103 |
31.535 |
31.631 |
27.376 |
30.833 |
32.633 |
30.594 |
31.727 |
27.321 |
30.715 |
25.399 |
27.049 |
29.144 |
27.771 |
31.254 |
32.223 |
25.764 |
27.248 |
25.499 |
24.890 |
28.025 |
28.603 |
34.107 |
29.947 |
26.656 |
27.798 |
28.186 |
28.047 |
28.765 |
29.805 |
30.472 |
30.105 |
28.346 |
29.104 |
25.839 |
27.790 |
26.774 |
26.181 |
29.791 |
28.031 |
27.307 |
23.031 |
30.965 |
31.514 |
23.537 |
28.656 |
29.631 |
25.183 |
28.138 |
27.568 |
28.192 |
30.739 |
30.867 |
26.283 |
29.684 |
29.143 |
29.563 |
26.828 |
30.276 |
31.112 |
30.399 |
Вариант №7
–48.370 |
–47.182 |
–49.307 |
–49.084 |
–47.776 |
–51.414 |
–48.881 |
–50.053 |
–46.056 |
–50.554 |
|||||||
–47.630 |
–45.833 |
–48.131 |
–47.869 |
–50.554 |
–47.527 |
–51.887 |
–47.776 |
–47.630 |
–48.818 |
|||||||
–48.582 |
–46.353 |
–47.119 |
–49.647 |
–45.446 |
–49.470 |
–44.362 |
–46.353 |
–47.413 |
–44.113 |
|||||||
–54.826 |
–49.944 |
–52.498 |
–52.498 |
–48.320 |
–48.043 |
–49.156 |
–46.258 |
–46.916 |
–50.700 |
|||||||
–47.823 |
–49.840 |
–49.742 |
–49.470 |
–39.701 |
–47.630 |
–47.579 |
–47.579 |
–48.043 |
–48.271 |
|||||||
–45.300 |
–46.844 |
–48.177 |
–45.300 |
–51.638 |
–50.554 |
–47.119 |
–51.212 |
–51.027 |
–47.823 |
|||||||
–45.142 |
–48.757 |
–47.361 |
–42.032 |
–48.421 |
–48.818 |
–46.530 |
–41.172 |
–51.027 |
–42.642 |
|||||||
–47.579 |
–56.299 |
–47.957 |
–48.818 |
–45.142 |
–50.417 |
–46.693 |
–46.258 |
–48.813 |
–46.770 |
|||||||
–45.142 |
–47.182 |
–48.320 |
–46.770 |
–46.613 |
–49.944 |
–46.443 |
–48.639 |
–41.172 |
–47.579 |
|||||||
–51.414 |
–49.156 |
–48.947 |
–53.358 |
–54.828 |
–44.973 |
–49.840 |
–47.630 |
–48.271 |
–49.557 |
|||||||
|
|
|
|
|
Вариант №8 |
|
|
|
|
|
|
|
|
|||
59.000 |
53.240 |
17.720 |
14.360 |
|
15.800 |
|
20.600 |
|
53.040 |
|
46.040 |
|
21.560 |
|
42.680 |
|
24.920 |
28.760 |
48.920 |
28.760 |
|
25.400 |
|
50.840 |
|
40.280 |
|
27.800 |
|
48.920 |
|
37.880 |
|
13.880 |
49.880 |
40.280 |
53.240 |
|
21.560 |
|
12.920 |
|
43.160 |
|
41.720 |
|
59.000 |
|
11.480 |
|
38.840 |
59.000 |
20.600 |
22.040 |
|
14.840 |
|
32.120 |
|
24.440 |
|
21.560 |
|
53.520 |
|
13.380 |
|
59.000 |
41.720 |
25.880 |
51.800 |
|
35.000 |
|
16.760 |
|
42.200 |
|
33.560 |
|
25.400 |
|
15.300 |
|
18.680 |
42.680 |
24.920 |
31.640 |
|
44.120 |
|
35.480 |
|
50.840 |
|
31.640 |
|
42.200 |
|
56.120 |
|
25.400 |
41.720 |
17.720 |
25.880 |
|
58.040 |
|
35.000 |
|
57.080 |
|
11.480 |
|
54.680 |
|
47.960 |
|
50.840 |
24.920 |
19.640 |
23.480 |
|
47.960 |
|
55.160 |
|
49.880 |
|
23.960 |
|
39.320 |
|
20.600 |
|
17.720 |
52.760 |
52.280 |
37.880 |
|
30.200 |
|
50.840 |
|
48.920 |
|
47.480 |
|
53.240 |
|
52.760 |
|
12.920 |
24.920 |
56.120 |
32.120 |
|
18.680 |
|
48.440 |
|
39.800 |
|
32.600 |
|
29.720 |
|
17.240 |
|
|
|
|
|
|
Вариант №9 |
|
|
|
|
|
|
|
|
|||
24.684 |
24.369 |
25.058 |
22.575 |
|
25.465 |
|
24.912 |
|
23.902 |
|
28.256 |
|
24.649 |
|
25.465 |
|
25.351 |
26.038 |
24.787 |
24.851 |
|
25.545 |
|
26.800 |
|
24.075 |
|
25.058 |
|
23.555 |
|
24.535 |
|
26.445 |
22.403 |
23.474 |
24.912 |
|
25.426 |
|
23.256 |
|
24.324 |
|
26.227 |
|
25.320 |
|
24.455 |
|
22.219 |
24.278 |
25.213 |
26.703 |
|
25.676 |
|
24.180 |
|
20.448 |
|
27.425 |
|
24.020 |
|
27.018 |
|
25.426 |
24.574 |
24.412 |
26.526 |
|
24.180 |
|
26.445 |
|
23.839 |
|
24.412 |
|
25.722 |
|
24.324 |
|
25.053 |
24.819 |
24.412 |
22.001 |
|
25.247 |
|
24.753 |
|
26.033 |
|
25.231 |
|
23.962 |
|
25.545 |
|
25.247 |
24.649 |
25.925 |
24.496 |
|
24.535 |
|
26.296 |
|
26.093 |
|
27.425 |
|
23.555 |
|
23.095 |
|
19.463 |
28.979 |
27.276 |
26.038 |
|
25.504 |
|
23.962 |
|
20.443 |
|
21.423 |
|
26.905 |
|
25.426 |
|
26.703 |
23.474 |
28.572 |
25.545 |
|
24.942 |
|
23.962 |
|
26.227 |
|
25.213 |
|
25.281 |
|
24.455 |
|
27.276 |
23.095 |
22.408 |
23.839 |
|
22.859 |
|
26.526 |
|
24.020 |
|
30.532 |
|
25.588 |
|
28.572 |
|
|
|
|
|
|
Вариант №10 |
|
|
|
|
|
|
|
|
|||
–10.680 |
–10.680 |
–10.053 |
–13.858 |
|
–6.115 |
|
–12.230 |
|
–11.271 |
|
–11.881 |
|
–9.160 |
|
–11.527 |
|
–5.032 |
–13.417 |
–12.084 |
–9.530 |
|
–12.014 |
|
–12.944 |
|
–13.299 |
|
–13.289 |
|
–6.829 |
|
–10.303 |
|
–15.885 |
–10.680 |
–11.087 |
–10.680 |
|
–12.470 |
|
–19.299 |
|
–10.579 |
|
–10.630 |
|
–12.307 |
|
–12.944 |
|
–10.361 |
–10.630 |
–10.119 |
–11.421 |
|
–14.638 |
|
–9.056 |
|
–10.243 |
|
–7.362 |
|
–10.369 |
|
–14.414 |
|
–9.770 |
–14.212 |
–9.344 |
–13.053 |
|
–9.258 |
|
–11.639 |
|
–2.701 |
|
–10.957 |
|
–14.633 |
|
–7.586 |
|
–12.230 |
–10.776 |
–12.084 |
–12.014 |
|
–13.554 |
|
–13.858 |
|
–10.957 |
|
–10.303 |
|
–9.253 |
|
–6.329 |
|
–8.446 |
–12.944 |
–16.968 |
–14.887 |
|
–11.757 |
|
–13.167 |
|
–11.320 |
|
–10.119 |
|
–9.056 |
|
–14.638 |
|
–11.224 |
–9.530 |
–15.498 |
–11.131 |
|
–7.973 |
|
–8.947 |
|
–8.142 |
|
–11.527 |
|
–12.307 |
|
–7.113 |
|
–11.881 |
–10.182 |
–6.829 |
–12.387 |
|
–11.320 |
|
–3.833 |
|
–3.711 |
|
–12.014 |
|
–12.340 |
|
–11.947 |
|
Герлейн О.В. |
|
|
18 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
–11.582 |
–11.818 |
–9.443 |
–11.639 |
–8.142 |
–9.844 |
–8.142 |
–10.418 |
–11.947 |
–14.414 |
|
|
|
|
Вариант №11 |
|
|
|
|
|
–41.749 |
–29.480 |
–37.683 |
–38.092 |
–35.807 |
–33.309 |
–37.214 |
–34.824 |
–38.541 |
–35.214 |
–37.468 |
–44.081 |
–37.484 |
–35.427 |
–39.891 |
–35.293 |
–29.062 |
–37.637 |
–43.950 |
–33.470 |
–38.846 |
–33.239 |
–34.384 |
–34.457 |
–33.802 |
–39.587 |
–37.448 |
–43.178 |
–38.539 |
–36.241 |
–39.167 |
–36.890 |
–32.561 |
–33.219 |
–38.589 |
–36.434 |
–36.519 |
–34.243 |
–38.027 |
–36.481 |
–39.454 |
–41.996 |
–36.316 |
–37.784 |
–34.056 |
–39.366 |
–37.060 |
–40.423 |
–36.907 |
–42.698 |
–41.883 |
–34.082 |
–33.734 |
–29.045 |
–40.678 |
–36.244 |
–41.653 |
–34.415 |
–37.357 |
–34.497 |
–36.447 |
–39.025 |
–36.603 |
–33.754 |
–33.760 |
–33.543 |
–33.113 |
–37.510 |
–35.402 |
–40.366 |
–34.872 |
–35.094 |
–41.574 |
–35.814 |
–33.857 |
–39.915 |
–37.121 |
–35.439 |
–37.832 |
–34.715 |
–40.779 |
–38.241 |
–35.578 |
–36.818 |
–40.434 |
–39.929 |
–34.145 |
–43.378 |
–37.363 |
–41.169 |
–31.100 |
–33.636 |
–39.488 |
–34.832 |
–37.783 |
–34.159 |
–39.626 |
–41.250 |
–33.551 |
–37.101 |
|
|
|
|
Вариант №12 |
|
|
|
|
|
33.761 |
0.871 |
0.121 |
13.304 |
4.453 |
30.309 |
11.299 |
7.174 |
1.671 |
5.544 |
2.829 |
33.761 |
2.982 |
14.854 |
3.942 |
4.110 |
13.728 |
11.611 |
3.136 |
1.398 |
13.673 |
5.544 |
11.931 |
1.310 |
10.410 |
25.443 |
1.950 |
2.236 |
14.443 |
33.627 |
1.950 |
14.054 |
10.699 |
4.230 |
3.030 |
4.230 |
1.132 |
2.529 |
1.001 |
14.354 |
14.054 |
4.230 |
35.949 |
17.636 |
16.165 |
11.931 |
1.393 |
0.121 |
4.110 |
10.699 |
5.544 |
6.332 |
7.174 |
31.911 |
33.761 |
14.854 |
14.054 |
26.487 |
9.852 |
2.829 |
4.280 |
15.712 |
1.264 |
23.593 |
0.121 |
10.995 |
6.130 |
5.544 |
10.123 |
6.332 |
10.410 |
4.110 |
12.593 |
1.310 |
21.263 |
9.582 |
5.355 |
12.946 |
20.573 |
19.929 |
5.736 |
2.829 |
0.242 |
9.318 |
8.808 |
24.483 |
9.582 |
19.929 |
28.895 |
21.991 |
8.560 |
2.092 |
6.958 |
4.986 |
15.712 |
0.121 |
1.001 |
3.452 |
8.080 |
7.619 |
|
|
|
|
Вариант №13 |
|
|
|
|
|
47.050 |
54.400 |
50.200 |
63.010 |
64.480 |
59.440 |
65.530 |
49.360 |
61.540 |
47.890 |
54.820 |
66.370 |
54.190 |
54.610 |
61.330 |
48.520 |
65.320 |
49.780 |
54.820 |
48.730 |
46.630 |
49.730 |
49.780 |
54.190 |
48.100 |
51.250 |
61.120 |
62.590 |
53.980 |
65.740 |
55.870 |
58.180 |
66.160 |
52.510 |
66.160 |
52.090 |
58.810 |
55.450 |
64.060 |
47.680 |
55.030 |
58.180 |
65.950 |
67.000 |
63.640 |
64.480 |
60.280 |
62.170 |
60.490 |
53.770 |
66.790 |
50.620 |
49.990 |
55.450 |
57.550 |
55.870 |
66.790 |
46.420 |
58.180 |
56.920 |
62.800 |
49.360 |
67.000 |
62.590 |
50.200 |
64.900 |
54.820 |
61.120 |
57.760 |
57.130 |
53.560 |
59.440 |
51.460 |
55.450 |
60.280 |
53.560 |
59.650 |
56.500 |
66.370 |
51.880 |
53.770 |
52.930 |
59.440 |
64.060 |
66.370 |
51.460 |
60.490 |
65.320 |
47.260 |
58.180 |
58.810 |
46.840 |
52.510 |
52.720 |
61.540 |
64.690 |
46.840 |
65.110 |
49.570 |
55.450 |
|
|
|
|
Вариант №14 |
|
|
|
|
|
–0.452 |
2.132 |
3.639 |
2.407 |
1.197 |
4.138 |
0.490 |
–1.592 |
–1.591 |
–1.846 |
0.177 |
2.133 |
3.546 |
3.620 |
1.504 |
–1.133 |
3.477 |
5.049 |
–0.968 |
–0.025 |
2.080 |
2.535 |
1.580 |
–0.094 |
–1.259 |
2.506 |
4.725 |
0.443 |
0.852 |
3.723 |
1.301 |
–0.750 |
2.314 |
6.280 |
1.900 |
–1.625 |
0.037 |
–0.146 |
3.374 |
0.748 |
0.437 |
–1.748 |
1.330 |
0.681 |
–0.062 |
–0.082 |
2.633 |
0.372 |
–0.527 |
–3.574 |
3.908 |
2.398 |
2.982 |
0.984 |
2.036 |
2.221 |
–0.088 |
–1.068 |
0.656 |
0.686 |
1.720 |
0.244 |
0.666 |
0.519 |
2.369 |
0.026 |
2.720 |
2.832 |
2.829 |
1.016 |
1.730 |
3.616 |
–0.419 |
2.086 |
1.368 |
0.247 |
1.111 |
–3.260 |
0.562 |
1.983 |
–1.586 |
3.617 |
1.998 |
2.466 |
1.492 |
2.987 |
0.620 |
4.221 |
5.857 |
–0.749 |
2.130 |
1.152 |
–0.975 |
3.446 |
–0.513 |
1.052 |
1.024 |
–2.259 |
3.409 |
0.091 |
|
|
|
|
Вариант №15 |
|
|
|
|
|
10.640 |
9.ЮО |
9.730 |
7.280 |
10.220 |
10.990 |
12.250 |
7.140 |
13.510 |
11.130 |
10.920 |
13.510 |
11.060 |
9.660 |
12.250 |
7.2Ю |
9.520 |
13.440 |
12.460 |
8.470 |
13.020 |
9.450 |
8.330 |
8.750 |
9.310 |
13.230 |
11.060 |
9.870 |
13.160 |
10.220 |
8.820 |
9.170 |
10.430 |
10.570 |
11.340 |
12.880 |
12.740 |
10.360 |
8.400 |
10.990 |
12.600 |
13.930 |
11.760 |
13.300 |
12.390 |
11.060 |
9.450 |
13.580 |
10.080 |
11.550 |
7.420 |
13.160 |
13.230 |
13.860 |
9.380 |
8.540 |
11.480 |
12.810 |
9.030 |
9.380 |
9.100 |
11.690 |
11.830 |
7.140 |
9.030 |
13.230 |
7.280 |
7.700 |
13.160 |
8.260 |
12.110 |
8.890 |
9.240 |
8.960 |
10.430 |
12.040 |
12.810 |
10.010 |
12.600 |
8.470 |
Герлейн О.В. |
|
|
19 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
13.510 |
11.550 |
13.510 |
11.130 |
7.280 |
11.550 |
12.320 |
7.420 |
11.550 |
7.420 |
11.550 |
10.920 |
9.100 |
9.100 |
12.880 |
7.980 |
8.330 |
8.400 |
8.750 |
8.120 |
|
|
|
|
Вариант №16 |
|
|
|
|
|
45.240 |
25.440 |
29.040 |
18.600 |
21.840 |
39.120 |
32.640 |
37.630 |
24.360 |
49.200 |
43.800 |
40.920 |
44.880 |
23.280 |
30.120 |
28.680 |
45.240 |
40.200 |
42.000 |
21.840 |
25.800 |
36.240 |
48.120 |
36.240 |
39.480 |
45.240 |
13.320 |
45.960 |
50.280 |
22.560 |
22.560 |
16.080 |
40.200 |
48.120 |
39.480 |
25.080 |
30.840 |
48.120 |
16.800 |
44.520 |
34.440 |
29.400 |
24.000 |
22.920 |
27.240 |
20.400 |
33.720 |
38.760 |
43.440 |
46.320 |
42.720 |
38.760 |
33.000 |
36.600 |
41.280 |
19.680 |
34.440 |
42.360 |
17.160 |
47.400 |
30.480 |
34.800 |
25.440 |
17.520 |
25.080 |
39.840 |
31.560 |
41.280 |
16.080 |
40.920 |
35.520 |
16.440 |
16.440 |
28.680 |
26.160 |
36.960 |
41.280 |
40.920 |
44.160 |
42.360 |
47.040 |
17.880 |
21.120 |
50.280 |
46.320 |
50.280 |
17.880 |
41.640 |
42.720 |
35.880 |
47.400 |
35.880 |
29.040 |
26.520 |
47.760 |
45.960 |
34.440 |
43.440 |
34.800 |
46.320 |
|
|
|
|
Вариант №17 |
|
|
|
|
|
–45.144 |
–45.279 |
–47.955 |
–50.153 |
–48.674 |
–46.888 |
–49.034 |
–48.458 |
–46.142 |
–45.926 |
–46.777 |
–52.487 |
–43.185 |
–47.015 |
–46.379 |
–47.108 |
–48.934 |
–45.641 |
–49.281 |
–50.805 |
–43.510 |
–45.660 |
–46.663 |
–51.178 |
–51.529 |
–46.793 |
–46.948 |
–50.446 |
–43.598 |
–48.131 |
–47.301 |
–44.943 |
–49.815 |
–49.628 |
–47.131 |
–48.623 |
–49.272 |
–45.610 |
–47.587 |
–46.556 |
–45.552 |
–48.266 |
–49.061 |
–48.427 |
–50.230 |
–49.154 |
–50.687 |
–46.041 |
–50.375 |
–50.701 |
–45.842 |
–46.819 |
–48.046 |
–49.698 |
–45.644 |
–51.301 |
–47.795 |
–44.804 |
–48.453 |
–46.641 |
–48.167 |
–50.047 |
–47.374 |
–44.112 |
–49.198 |
–50.320 |
–49.750 |
–48.604 |
–47.917 |
–50.885 |
–44.669 |
–48.125 |
–45.845 |
–46.870 |
–46.460 |
–49.299 |
–50.495 |
–48.770 |
–50.196 |
–46.867 |
–48.872 |
–45.947 |
–47.189 |
–45.188 |
–48.973 |
–48.133 |
–52.497 |
–47.739 |
–47.288 |
–50.923 |
–48.417 |
–50.612 |
–46.299 |
–51.283 |
–49.990 |
–48.017 |
–49.981 |
–49.043 |
–46.498 |
–45.783 |
|
|
|
|
Вариант №18 |
|
|
|
|
|
9.250 |
8.500 |
8.740 |
7.570 |
7.180 |
9.520 |
8.680 |
8.440 |
8.020 |
7.510 |
7.630 |
9.550 |
8.680 |
7.270 |
7.870 |
8.890 |
9.970 |
7.390 |
7.150 |
9.310 |
8.560 |
9.ЭТО |
9.640 |
7.330 |
9.190 |
8.380 |
7.480 |
9.910 |
7.090 |
7.060 |
7.060 |
7.090 |
9.160 |
9.010 |
9.010 |
7.780 |
9.250 |
8.320 |
8.380 |
7.810 |
8.170 |
8.440 |
9.610 |
8.590 |
7.840 |
9.760 |
7.090 |
7.660 |
8.320 |
9.130 |
8.710 |
8.740 |
7.810 |
7.570 |
9.550 |
7.570 |
8.830 |
7.540 |
9.340 |
8.440 |
8.050 |
9.160 |
9.880 |
7.900 |
7.780 |
9.3Ю |
9.070 |
8.590 |
9.700 |
8.710 |
7.540 |
9.850 |
9.520 |
8.290 |
9.940 |
9.400 |
8.830 |
7.420 |
8.080 |
9.730 |
7.150 |
7.900 |
8.230 |
7.570 |
9.670 |
7.5Ю |
9.520 |
9.670 |
9.760 |
9.850 |
9.430 |
7.090 |
10.000 |
8.830 |
8.110 |
9.130 |
8.950 |
8.650 |
7.780 |
8.080 |
|
|
|
|
Вариант №19 |
|
|
|
|
|
0.401 |
12.740 |
5.026 |
19.331 |
0.349 |
9.788 |
22.305 |
15.695 |
11.017 |
26.333 |
19.761 |
9.522 |
12.671 |
25.203 |
7.206 |
18.777 |
15.356 |
15.190 |
28.605 |
–0.232 |
4.643 |
24.804 |
9.824 |
9.892 |
13.380 |
13.017 |
5.381 |
6.385 |
18.444 |
18.016 |
4.198 |
23.073 |
12.489 |
11.954 |
1.348 |
25.123 |
.13.695 |
14.699 |
13.806 |
22.790 |
13.520 |
11.532 |
5.202 |
3.171 |
16.451 |
18.151 |
13.565 |
8.951 |
24.749 |
18.918 |
6.078 |
21.156 |
17.206 |
4.109 |
–7.173 |
–4.099 |
.13.888 |
13.416 |
7.548 |
27.141 |
9.890 |
11.746 |
11.382 |
12.422 |
8.086 |
2.969 |
13.621 |
18.628 |
10.874 |
17.672 |
10.459 |
10.735 |
5.931 |
2.905 |
0.744 |
7.557 |
8.962 |
5.936 |
15.723 |
13.498 |
9.448 |
28.993 |
15.800 |
13.302 |
21.398 |
10.023 |
11.278 |
22.805 |
15.099 |
–0.564 |
29.113 |
20.630 |
16.865 |
21.858 |
23.663 |
20.190 |
5.785 |
14.878 |
11.440 |
7.940 |
|
|
|
|
Вариант №20 |
|
|
|
|
|
–23.260 |
–16.800 |
–2.740 |
–16.040 |
–7.680 |
–2.740 |
–17.940 |
–19.080 |
–11.860 |
–6.540 |
–19.080 |
–1.220 |
–3.500 |
–29.720 |
–19.840 |
–11.480 |
–15.660 |
1.060 |
–16.040 |
0.680 |
–18.700 |
–25.540 |
2.200 |
4.860 |
4.100 |
–28.200 |
–30.860 |
–9.580 |
–11.860 |
–11.100 |
–1.600 |
–3.120 |
–22.500 |
1.060 |
–19.840 |
–0.840 |
4.100 |
–14.140 |
–1.600 |
–3.120 |
–2.740 |
2.200 |
–9.580 |
–15.280 |
–24.020 |
–8.440 |
–5.400 |
–17.180 |
–24.780 |
5.620 |
–7.300 |
–22.880 |
4.860 |
–5.020 |
–7.680 |
3.720 |
–22.120 |
5.620 |
–13.380 |
–20.980 |
Герлейн О.В. |
|
|
20 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
–0.080 |
–23.260 |
–7.300 |
–11.860 |
–18.700 |
–2.740 |
–20.220 |
2.580 |
–23.640 |
–24.020 |
–11.100 |
–9.960 |
2.200 |
–22.120 |
–1.980 |
–25.920 |
–1.980 |
–28.960 |
–24.780 |
–0.080 |
–8.820 |
–8.060 |
–5.400 |
2.960 |
4.480 |
–11.100 |
2.580 |
–30.860 |
–12.620 |
–15.660 |
0.680 |
–11.100 |
5.620 |
–9.200 |
–14.520 |
4.480 |
–1.600 |
–0.080 |
–19.080 |
–29.720 |
|
|
|
|
Вариант №21 |
|
|
|
|
|
6.308 |
1.417 |
13.201 |
4.665 |
45.207 |
39.144 |
11.117 |
13.957 |
2.964 |
6.308 |
10.793 |
37.524 |
59.611 |
5.350 |
22.259 |
12.835 |
1.234 |
13.201 |
10.793 |
27.360 |
9.556 |
20.468 |
40.935 |
7.323 |
16.449 |
3.532 |
5.5S5 |
1.791 |
0.343 |
29.152 |
12.127 |
13.575 |
16.902 |
30.123 |
11.117 |
14.748 |
4.443 |
7.323 |
0.694 |
4.224 |
20.463 |
12.477 |
6.063 |
39.144 |
36.044 |
17.368 |
11.117 |
7.855 |
16.902 |
12.477 |
10.475 |
1.603 |
4.224 |
66.504 |
7.323 |
28.232 |
36.044 |
3.582 |
23.567 |
7.064 |
16.007 |
24.261 |
17.847 |
8.684 |
33.424 |
4.224 |
12.477 |
4.665 |
0.694 |
18.340 |
39.144 |
0.372 |
22.259 |
4.007 |
7.355 |
50.927 |
13.847 |
16.902 |
1.931 |
50.927 |
6.308 |
5.119 |
1.791 |
0.343 |
5.350 |
11.117 |
19.910 |
8.403 |
3.582 |
20.468 |
15.577 |
4.891 |
59.611 |
8.970 |
13.957 |
9.260 |
19.370 |
3.582 |
0.171 |
14.748 |
|
|
|
|
Вариант №22 |
|
|
|
|
|
53.991 |
41.428 |
54.191 |
45.828 |
45.321 |
51.631 |
33.873 |
43.095 |
29.903 |
49.410 |
38.129 |
52.594 |
48.567 |
42.399 |
35.735 |
54.271 |
53.798 |
48.019 |
47.000 |
42.034 |
41.500 |
39.040 |
43.703 |
47.061 |
54.434 |
47.134 |
50.456 |
51.824 |
41.811 |
53.947 |
50.061 |
42.180 |
43.388 |
46.332 |
45.460 |
42.549 |
40.406 |
50.230 |
29.337 |
58.129 |
50.144 |
41.672 |
44.394 |
42.832 |
42.949 |
43.161 |
47.865 |
41.930 |
39.542 |
45.446 |
51.005 |
47.712 |
45.030 |
35.085 |
46.681 |
47.278 |
39.254 |
46.140 |
41.904 |
55.443 |
42.872 |
32.837 |
41.681 |
46.806 |
43.123 |
51.917 |
52.247 |
54.894 |
34.463 |
46.643 |
40.488 |
39.214 |
42.861 |
37.709 |
39.979 |
49.650 |
38.314 |
35.843 |
43.615 |
44.346 |
44.161 |
35.446 |
59.254 |
37.796 |
54.235 |
41.905 |
42.773 |
43.798 |
47.710 |
37.921 |
44.309 |
44.359 |
44.268 |
49.155 |
41.708 |
47.756 |
50.331 |
40.032 |
46.102 |
41.608 |
|
|
|
|
Вариант №23 |
|
|
|
|
|
7.841 |
13.389 |
14.341 |
4.525 |
21.400 |
15.829 |
27.489 |
45.424 |
84.402 |
8.630 |
0.606 |
13.618 |
10.275 |
58.983 |
9.855 |
9.033 |
37.136 |
12.923 |
0.302 |
40.412 |
56.914 |
12.465 |
63.608 |
15.829 |
105.197 |
23.296 |
16.342 |
12.465 |
38.189 |
17.935 |
7.454 |
5.590 |
117.361 |
30.650 |
11.132 |
117.361 |
19.046 |
4.173 |
5.954 |
35.135 |
5.954 |
24.629 |
105.197 |
10.700 |
8.630 |
34.183 |
27.489 |
49.822 |
66.218 |
12.923 |
1.856 |
51.444 |
17.935 |
2.829 |
39.280 |
24.629 |
27.489 |
12.465 |
17.935 |
35.135 |
13.361 |
17.935 |
34.183 |
25.313 |
69.073 |
41.589 |
23.296 |
17.395 |
29.828 |
10.700 |
26.025 |
3.835 |
23.296 |
7.072 |
16.864 |
36.119 |
26.748 |
11.132 |
20.794 |
28.248 |
84.402 |
9.441 |
32.364 |
9.855 |
5.590 |
1.225 |
12.465 |
36.119 |
32.364 |
56.914 |
39.280 |
5.590 |
40.412 |
39.280 |
1.539 |
25.319 |
7.454 |
138.155 |
3.496 |
35.135 |
|
|
|
|
Вариант №24 |
|
|
|
|
|
13.211 |
3.354 |
4.705 |
7.209 |
8.897 |
28.970 |
0.364 |
82.893 |
12.477 |
26.454 |
16.049 |
38.165 |
22.913 |
3.793 |
10.437 |
5.178 |
22.282 |
14.778 |
4.940 |
28.092 |
11.428 |
0.923 |
11.091 |
13.211 |
21.031 |
2.301 |
63.118 |
10.761 |
0.735 |
82.893 |
47.367 |
11.771 |
4.705 |
4.472 |
0.543 |
10.118 |
82.893 |
4.705 |
1.693 |
7.209 |
28.970 |
15.615 |
8.605 |
26.454 |
0.923 |
5.420 |
9.135 |
9.805 |
70.416 |
0.923 |
2.301 |
2.301 |
36.724 |
27.254 |
5.913 |
21.081 |
28.970 |
1.698 |
30.866 |
50.641 |
12.840 |
5.665 |
6.679 |
9.805 |
34.148 |
22.913 |
13.590 |
4.705 |
32.986 |
32.986 |
13.211 |
0.735 |
6.942 |
50.641 |
8.897 |
28.970 |
47.867 |
0.364 |
63.118 |
16.049 |
41.447 |
9.805 |
4.705 |
1.698 |
2.715 |
7.479 |
5.420 |
8.897 |
18.897 |
12.840 |
8.897 |
41.447 |
35.390 |
11.771 |
7.209 |
0.364 |
12.120 |
14.773 |
2.093 |
15.191 |
|
|
|
|
Вариант №25 |
|
|
|
|
|
23.120 |
8.000 |
10.700 |
9.800 |
17.720 |
17.360 |
22.530 |
24.020 |
22.040 |
22.940 |
21.140 |
13.160 |
24.380 |
8.720 |
13.220 |
21.860 |
10.520 |
24.920 |
10.520 |
17.180 |
13.760 |
10.700 |
20.780 |
24.020 |
13.760 |
22.760 |
25.100 |
3.360 |
13.220 |
17.540 |
9.440 |
25.820 |
16.460 |
12.320 |
9.440 |
14.430 |
11.420 |
11.060 |
21.860 |
16.640 |