Clayton State University Management Case Study

User Generated

Qenpb2t8

Business Finance

Clayton state university

Description

Unformatted Attachment Preview

job site 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 microns 4 6.5 8 8 4 7 2 5.5 5 4 4.5 8.5 7 5 9.5 7 9.5 9.5 5 6 8 7.5 8.5 9 3 6 7.5 7.5 2.7 2 7.5 9 6 3 8 1 8.5 0.7 0.5 8.5 2 4.5 mean annual sick days per employee 11 7 5 5 10 7 11 9 7 10 8 4 7 8 3 7 5 7 10 6 5 6 5 4 7 7 7 5 7 9 6 4 6 8 5 8 5 8 8 4 8 9 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 6 7 5 2.5 5 4 8 5 3.5 8 5 4.9 7.5 2.5 6.5 8 5 7 4 8 1 2 4 4 7 5.2 5 6 8 6 6.5 1.5 8.5 2 8 10 10 8 1 7 10 7 7 6.5 7.5 8.5 3 7 7 10 12 9 7 5 7 9 6 5 10 9 7 7 6 6 6 9 5 8 8 10 9 7 10 7 6 6 7 6 8 6 8 5 4 5 8 8 6 2 8 6 7 6 6 8 90 91 92 93 94 95 96 97 98 99 100 101 102 103 0.5 1 9 7 2 8.5 3.5 3 7 5.5 7.5 0.2 4 5 9 8 6 7 9 7 9 8 6 7 7 12 8 9 contract # 1116 205 2146 1603 914 437 598 2801 1420 682 714 2336 2216 1327 1025 920 465 138 1411 1439 2388 1849 1740 1666 1672 2455 403 856 2050 1271 2429 812 405 1630 2376 861 2436 36 30 76 1155 1273 1886 safety training lost time expenditure hours 1985.12 10 1500.00 30 1126.46 40 1294.10 40 1445.56 40 1112.47 50 1720.81 60 1789.66 60 1837.52 60 2000.00 60 2271.86 60 1507.97 70 1542.33 70 1544.90 70 1547.16 70 1567.55 70 1600.00 70 1452.69 80 1500.00 80 1500.00 80 1326.60 90 1351.25 90 1380.69 90 1423.57 90 1095.58 100 1132.88 100 1134.58 100 1163.44 100 1170.92 100 1177.05 100 1188.19 100 1323.29 100 1051.17 110 1054.03 110 1071.75 110 1077.86 110 1080.34 110 923.37 120 957.17 120 964.11 120 976.64 120 982.06 120 985.69 120 630 407 488 1971 62 118 2 42 92 160 149 178 160 56 152 3 196 157 221 62 64 143 139 217 182 162 159 162 145 203 135 158 182 35 163 105 163 131 73 55 181 124 55 136 5 179 150 985.97 1000.00 1002.27 1035.43 910.85 912.35 912.35 917.02 917.02 922.02 922.02 950.00 804.28 826.86 832.87 836.33 842.96 856.99 883.88 888.57 893.36 900.89 910.85 759.86 767.13 777.24 784.22 785.69 785.69 792.35 799.90 800.62 801.58 746.02 756.98 759.52 700.93 709.40 715.68 724.94 612.23 613.70 624.54 635.19 642.79 644.15 656.14 120 120 120 120 130 130 130 130 130 130 130 130 140 140 140 140 140 140 140 140 140 140 140 150 150 150 150 150 150 150 150 150 150 160 160 160 170 170 170 170 180 180 180 180 180 180 180 140 96 157 51 153 137 195 116 196 65 194 113 85 190 148 54 183 100 92 157 40 217 137 91 96 203 205 188 29 189 34 56 49 145 11 75 155 132 168 65 38 186 9 146 123 108 221 669.81 669.81 678.60 689.55 526.48 537.35 561.96 564.16 566.50 568.95 574.51 579.32 583.63 601.43 607.26 611.48 393.77 405.91 406.81 426.78 429.50 450.56 456.90 471.81 474.76 500.92 503.17 507.64 507.77 509.43 513.69 514.07 526.14 336.51 344.39 345.69 365.99 377.93 385.05 391.75 264.00 264.00 264.00 265.40 268.60 275.70 283.16 180 180 180 180 185 185 185 185 185 185 185 185 185 185 185 185 190 190 190 190 190 190 190 190 190 190 190 190 190 190 190 190 190 200 200 200 200 200 200 200 210 210 210 210 210 210 210 201 25 72 213 129 195 141 75 33 119 205 120 110 208 19 211 221 23 133 19 84 167 96 200 171 18 107 152 120 143 24 104 170 115 159 125 128 105 209 190 199 110 151 219 33 156 161 288.00 288.00 295.84 300.00 305.27 313.36 244.00 250.57 255.12 256.89 263.27 263.60 223.64 226.65 230.00 230.00 231.52 233.29 234.00 234.00 234.00 234.00 234.00 234.57 236.60 236.91 237.70 243.24 244.00 218.00 205.00 206.97 215.37 215.69 215.99 217.99 218.00 205.00 169.58 174.09 179.06 179.78 192.61 196.65 201.36 202.71 204.57 210 210 210 210 210 210 220 220 220 220 220 220 230 230 230 230 230 230 230 230 230 230 230 230 230 230 230 230 230 235 240 240 240 240 240 240 240 245 250 250 250 250 250 250 250 250 250 133 131 54 24 48 212 91 4 187 134 24 6 135 132 101 34 27 86 184 35 140 173 131 42 95 17 68 197 59 2 119 19 28 65 18 95 201 40 199 205.00 135.99 145.59 152.61 125.63 128.00 128.00 45.30 45.69 50.00 51.23 56.89 68.95 102.57 102.57 102.64 103.57 125.18 731.36 70.92 75.90 97.97 100.00 100.00 100.03 102.56 102.57 56.90 56.90 68.09 68.59 42.57 45.69 30.43 35.99 25.69 26.60 26.90 20.46 250 260 260 260 270 270 270 280 280 280 280 280 280 280 280 280 280 280 285 290 290 290 290 290 290 290 290 300 300 300 300 320 320 330 330 340 340 340 360 contract # 1420 682 714 2336 2216 1327 1025 920 465 138 1411 1439 2388 1849 1740 1666 1672 2455 403 856 2050 1271 2429 812 405 1630 2376 861 2436 36 30 76 1155 1273 1886 630 407 488 1971 62 118 2 42 Frequency (Hz) 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 Angle in Degrees 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Chord Length 0.1809 0.0893 0.0313 0.1867 0.0705 0.1281 0.1966 0.1353 0.1688 0.1578 0.0558 0.1513 0.1238 0.1276 0.1666 0.1515 0.1229 0.0985 0.1724 0.1127 0.0705 0.1988 0.1159 0.0332 0.0364 0.1231 0.0657 0.1365 0.1178 0.1752 0.1886 0.0328 0.042 0.1188 0.1409 0.1953 0.095 0.1033 0.1205 0.0792 0.1538 0.1122 0.1113 Velocity (Meters per Second) 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 Displacement Decibel 0.00266337 126.201 0.00266337 125.201 0.00266337 125.951 0.00266337 127.591 0.00266337 127.461 0.00266337 125.571 0.00266337 125.201 0.00266337 123.061 0.00266337 121.301 0.00266337 119.541 0.00266337 117.151 0.00266337 115.391 0.00266337 112.241 0.00266337 108.721 0.00283081 126.416 0.00283081 127.696 0.00283081 128.086 0.00283081 126.966 0.00283081 126.086 0.00283081 126.986 0.00283081 126.616 0.00283081 124.106 0.00283081 123.236 0.00283081 121.106 0.00283081 119.606 0.00283081 117.976 0.00283081 116.476 0.00283081 113.076 0.00283081 111.076 0.00310138 118.129 0.00310138 119.319 0.00310138 122.779 0.00310138 124.809 0.00310138 126.959 0.00310138 128.629 0.00310138 129.099 0.00310138 127.899 0.00310138 125.499 0.00310138 124.049 0.00310138 123.689 0.00310138 121.399 0.00310138 120.319 0.00310138 119.229 92 160 149 178 160 56 152 3 196 157 221 62 64 143 139 217 182 162 159 162 145 203 135 158 182 35 163 105 163 131 73 55 181 124 55 136 5 179 150 140 96 157 51 153 137 195 116 5000 6300 8000 10000 12500 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000 315 400 500 630 800 1000 1250 1600 2000 2500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 0.0395 0.1158 0.1531 0.0536 0.0614 0.1989 0.148 0.1894 0.1004 0.1402 0.0914 0.0443 0.0917 0.0738 0.1069 0.0592 0.1304 0.1722 0.14 0.0533 0.0386 0.0611 0.0512 0.0525 0.119 0.0502 0.1675 0.0769 0.1848 0.0301 0.1086 0.0336 0.1414 0.0908 0.1899 0.0411 0.1952 0.1854 0.1594 0.0694 0.119 0.0992 0.1617 0.0352 0.1558 0.1929 0.1106 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 0.00310138 0.00310138 0.00310138 0.00310138 0.00310138 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00331266 0.00336729 0.00336729 0.00336729 0.00336729 0.00336729 0.00336729 0.00336729 0.00336729 0.00336729 0.00336729 0.00336729 0.00336729 0.00336729 0.00336729 0.00392107 0.00392107 0.00392107 0.00392107 0.00392107 0.00392107 0.00392107 0.00392107 0.00392107 0.00392107 117.789 116.229 114.779 112.139 109.619 117.195 118.595 122.765 125.045 127.315 129.095 129.235 127.365 124.355 122.365 122.375 120.755 119.135 118.145 115.645 113.775 110.515 108.265 127.122 125.992 125.872 126.632 126.642 124.512 123.392 121.762 119.632 118.122 115.372 113.492 109.222 106.582 121.851 124.001 126.661 128.311 128.831 127.581 125.211 122.211 122.101 120.981 196 65 194 113 85 190 148 54 183 100 92 157 40 217 137 91 96 203 205 188 29 189 34 56 49 145 11 75 155 132 168 65 38 186 9 146 123 108 221 201 25 72 213 129 195 141 75 3150 4000 5000 6300 8000 10000 12500 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 315 400 500 630 800 1000 1250 1600 2000 2500 1.5 1.5 1.5 1.5 1.5 1.5 1.5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 0.0372 0.0788 0.1443 0.145 0.1235 0.0939 0.1307 0.1365 0.1578 0.1453 0.1711 0.1049 0.1201 0.1069 0.1415 0.1371 0.0396 0.1809 0.1359 0.0862 0.1713 0.0617 0.0351 0.0869 0.092 0.0463 0.0912 0.1189 0.0728 0.0974 0.1719 0.1601 0.1365 0.1769 0.1207 0.0464 0.054 0.1325 0.1342 0.0755 0.1299 0.0932 0.0514 0.1089 0.0886 0.0375 0.1367 39.6 39.6 39.6 39.6 39.6 39.6 39.6 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 0.00392107 0.00392107 0.00392107 0.00392107 0.00392107 0.00392107 0.00392107 0.00425727 0.00425727 0.00425727 0.00425727 0.00425727 0.00425727 0.00425727 0.00425727 0.00425727 0.00425727 0.00425727 0.00425727 0.00425727 0.00425727 0.00425727 0.00452492 0.00452492 0.00452492 0.00452492 0.00452492 0.00452492 0.00452492 0.00452492 0.00452492 0.00452492 0.00452492 0.00452492 0.00452492 0.00452492 0.00452492 0.00495741 0.00495741 0.00495741 0.00495741 0.00495741 0.00495741 0.00495741 0.00495741 0.00495741 0.00495741 119.111 117.741 116.241 114.751 112.251 108.991 106.111 127.564 128.454 129.354 129.494 129.004 127.634 126.514 125.524 124.024 121.514 120.264 118.134 116.134 114.634 110.224 126.159 128.179 129.569 129.949 129.329 127.329 124.439 123.069 122.439 120.189 118.689 117.309 115.679 113.799 112.169 123.312 125.472 127.632 129.292 129.552 128.312 125.802 122.782 120.532 120.162 33 119 205 120 110 208 19 211 221 23 133 19 84 167 96 200 171 18 107 152 120 143 24 104 170 115 159 125 128 105 209 190 199 110 151 219 33 156 161 133 131 54 24 48 212 91 4 3150 4000 5000 6300 8000 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 250 315 400 500 630 800 1000 1250 1600 2000 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 0.0878 0.0527 0.0804 0.1046 0.0376 0.0866 0.1706 0.0415 0.1478 0.1076 0.1267 0.05 0.1347 0.1087 0.1435 0.1973 0.1044 0.0841 0.1838 0.093 0.1697 0.0768 0.1091 0.0793 0.1529 0.098 0.1105 0.0622 0.1327 0.0372 0.1477 0.1161 0.1541 0.0489 0.0591 0.179 0.1765 0.1491 0.0971 0.154 0.1933 0.1458 0.1364 0.1705 0.1915 0.0907 0.1071 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 0.00495741 0.00495741 0.00495741 0.00495741 0.00495741 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00497773 0.00579636 0.00579636 0.00579636 0.00579636 0.00579636 0.00579636 0.00579636 0.00579636 0.00579636 0.00579636 118.922 116.792 115.792 114.042 110.652 123.118 125.398 127.548 128.698 128.708 126.838 124.838 122.088 120.088 119.598 118.108 115.608 113.858 109.718 126.395 128.175 129.575 130.715 131.615 131.755 131.015 129.395 126.645 124.395 123.775 121.775 119.535 117.785 116.165 113.665 110.905 107.405 123.543 126.843 128.633 130.173 131.073 130.723 128.723 126.343 123.213 120.963 187 134 24 6 135 132 101 34 27 86 184 35 140 173 131 42 95 17 68 197 59 2 119 19 28 65 18 95 201 40 199 1116 205 2146 1603 914 437 598 2801 1420 682 714 2336 2216 1327 1025 920 2500 3150 4000 5000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000 20000 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 315 400 4 4 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0701 0.0824 0.0889 0.1509 0.1841 0.0952 0.1142 0.0788 0.1754 0.0478 0.1279 0.1299 0.1322 0.1343 0.1186 0.0951 0.1286 0.0852 0.0318 0.069 0.1949 0.0807 0.194 0.083 0.1852 0.0719 0.0748 0.0907 0.1268 0.125 0.0859 0.1641 0.0708 0.0366 0.1473 0.1221 0.0533 0.0359 0.0752 0.0322 0.0525 0.0813 0.049 0.1688 0.1373 0.0339 0.1574 39.6 39.6 39.6 39.6 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 0.00579636 0.00579636 0.00579636 0.00579636 0.00214345 0.00214345 0.00214345 0.00214345 0.00214345 0.00214345 0.00214345 0.00214345 0.00214345 0.00214345 0.00214345 0.00214345 0.00214345 0.00229336 0.00229336 0.00229336 0.00229336 0.00229336 0.00229336 0.00229336 0.00229336 0.00229336 0.00229336 0.00229336 0.00229336 0.00229336 0.00229336 0.00253511 0.00253511 0.00253511 0.00253511 0.00253511 0.00253511 0.00253511 0.00253511 0.00253511 0.00253511 0.00253511 0.00253511 0.00253511 0.00253511 0.0027238 0.0027238 120.233 118.743 115.863 113.733 128.144 129.134 128.244 128.354 127.834 125.824 124.304 122.044 118.024 118.134 117.624 114.984 114.474 119.54 121.66 123.78 126.16 127.53 128.29 127.91 126.79 126.54 126.54 125.16 123.41 122.41 118.41 121.055 123.565 126.195 128.705 130.205 130.435 129.395 127.095 125.305 125.025 124.625 123.465 122.175 117.465 120.595 123.635 465 138 1411 1439 2388 1849 1740 1666 1672 2455 403 856 2050 1271 2429 812 405 1630 2376 861 2436 36 30 76 1155 1273 1886 630 407 488 1971 62 118 2 42 92 160 149 178 160 56 152 3 196 157 221 62 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 315 400 500 630 800 1000 1250 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0.1644 0.1619 0.1495 0.193 0.0561 0.0376 0.1064 0.0659 0.1844 0.1684 0.1146 0.0364 0.0805 0.0517 0.0455 0.038 0.0501 0.1657 0.1825 0.0534 0.0635 0.0456 0.1794 0.1096 0.0676 0.1175 0.0453 0.0742 0.1016 0.0394 0.1108 0.0814 0.0745 0.1318 0.1922 0.0548 0.0828 0.1896 0.1276 0.1103 0.0942 0.1995 0.1147 0.1567 0.1067 0.1645 0.1467 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 0.0027238 0.0027238 0.0027238 0.0027238 0.0027238 0.0027238 0.0027238 0.0027238 0.0027238 0.0027238 0.0027238 0.0027238 0.00293031 0.00293031 0.00293031 0.00293031 0.00293031 0.00293031 0.00293031 0.00293031 0.00293031 0.00293031 0.00293031 0.00293031 0.00293031 0.00293031 0.00293031 0.00313525 0.00313525 0.00313525 0.00313525 0.00313525 0.00313525 0.00313525 0.00313525 0.00313525 0.00313525 0.00313525 0.00313525 0.00313525 0.00346574 0.00346574 0.00346574 0.00346574 0.00346574 0.00346574 0.00346574 126.675 129.465 130.725 130.595 128.805 125.625 123.455 123.445 123.445 122.035 120.505 116.815 125.116 126.486 127.356 128.216 128.956 128.816 127.796 126.896 127.006 126.116 124.086 122.816 120.786 115.996 113.086 122.292 124.692 126.842 128.492 129.002 128.762 126.752 124.612 123.862 123.742 122.232 120.472 118.712 120.137 122.147 125.157 127.417 129.037 129.147 128.257 64 143 139 217 182 162 159 162 145 203 135 158 182 35 163 105 163 131 73 55 181 124 55 136 5 179 150 140 96 157 51 153 137 195 116 196 65 194 113 85 190 148 54 183 100 92 157 1600 2000 2500 3150 4000 5000 6300 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000 20000 400 500 630 800 1000 1250 1600 2000 2500 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 0.0301 0.0798 0.0923 0.0477 0.0802 0.0675 0.1538 0.1486 0.0325 0.117 0.0887 0.0327 0.0536 0.1725 0.091 0.1721 0.1074 0.1918 0.0361 0.1984 0.0896 0.1623 0.0439 0.1536 0.0749 0.1219 0.048 0.1898 0.127 0.1729 0.1425 0.1271 0.1662 0.1995 0.1164 0.1326 0.1547 0.0709 0.1782 0.1706 0.0701 0.157 0.1777 0.1184 0.0584 0.0534 0.0624 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 0.00346574 0.00346574 0.00346574 0.00346574 0.00346574 0.00346574 0.00346574 0.00372371 0.00372371 0.00372371 0.00372371 0.00372371 0.00372371 0.00372371 0.00372371 0.00372371 0.00372371 0.00372371 0.00372371 0.00372371 0.00372371 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.00400603 0.0042862 0.0042862 0.0042862 0.0042862 0.0042862 0.0042862 0.0042862 0.0042862 0.0042862 125.837 122.797 121.397 121.627 120.227 118.827 116.417 120.147 123.417 126.677 129.057 130.307 130.307 128.677 125.797 123.037 121.407 121.527 120.527 118.267 115.137 126.758 129.038 130.688 131.708 131.718 129.468 126.218 124.338 124.108 121.728 121.118 118.618 112.848 113.108 114.258 112.768 109.638 123.274 127.314 129.964 131.864 132.134 131.264 128.264 124.254 122.384 40 217 137 91 96 203 205 188 29 189 34 56 49 145 11 75 155 132 168 65 38 186 9 146 123 108 221 201 25 72 213 129 195 141 75 33 119 205 120 110 208 19 211 221 23 133 19 3150 4000 5000 6300 8000 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 0.0428 0.095 0.0363 0.1145 0.048 0.1222 0.1704 0.0623 0.1377 0.0335 0.1969 0.0379 0.1838 0.193 0.1185 0.1241 0.1732 0.1443 0.142 0.0592 0.0925 0.0455 0.1765 0.0984 0.1504 0.0345 0.0748 0.1032 0.1888 0.1106 0.189 0.0976 0.1902 0.1052 0.0964 0.0446 0.0885 0.067 0.1447 0.0712 0.0713 0.1366 0.1805 0.0766 0.0808 0.0833 0.1205 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 0.0042862 0.0042862 0.0042862 0.0042862 0.0042862 0.00473801 0.00473801 0.00473801 0.00473801 0.00473801 0.00473801 0.00473801 0.00473801 0.00473801 0.00473801 0.00473801 0.00473801 0.00473801 0.00473801 0.00473801 0.00509068 0.00509068 0.00509068 0.00509068 0.00509068 0.00509068 0.00509068 0.00509068 0.00509068 0.00509068 0.00509068 0.00509068 0.00509068 0.00509068 0.00509068 0.0051942 0.0051942 0.0051942 0.0051942 0.0051942 0.0051942 0.0051942 0.0051942 0.0051942 0.0051942 0.0051942 0.0051942 122.394 120.654 120.034 117.154 112.524 122.229 123.879 127.039 129.579 130.469 129.969 128.339 125.319 121.659 119.649 120.419 119.159 117.649 114.249 113.129 120.189 123.609 126.149 128.939 130.349 130.869 129.869 128.119 125.229 122.089 120.209 120.229 118.859 115.969 112.699 127.7 129.88 131.8 133.48 134 133.38 130.46 125.89 123.74 123.12 120.33 118.05 84 167 96 200 171 18 107 152 120 143 24 104 170 115 159 125 128 105 209 190 199 110 151 219 33 156 161 133 131 54 24 48 212 91 4 187 134 24 6 135 132 101 34 27 86 184 35 6300 8000 10000 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 0.1224 0.1564 0.161 0.1585 0.1404 0.1186 0.071 0.1136 0.1649 0.113 0.1463 0.195 0.1662 0.1253 0.1555 0.1458 0.1178 0.1735 0.0672 0.1531 0.0377 0.0423 0.1841 0.1148 0.1198 0.1975 0.03 0.1233 0.0612 0.1212 0.0916 0.1682 0.1487 0.1532 0.0614 0.1704 0.0971 0.086 0.0525 0.0591 0.0859 0.1339 0.1198 0.1176 0.1709 0.0665 0.031 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 0.0051942 0.0051942 0.0051942 0.00614329 0.00614329 0.00614329 0.00614329 0.00614329 0.00614329 0.00614329 0.00614329 0.00614329 0.00614329 0.00614329 0.00614329 0.00614329 0.00614329 0.00614329 0.0104404 0.0104404 0.0104404 0.0104404 0.0104404 0.0104404 0.0104404 0.0104404 0.0104404 0.0104404 0.0104404 0.0104404 0.0104404 0.0104404 0.0104404 0.0104404 0.0111706 0.0111706 0.0111706 0.0111706 0.0111706 0.0111706 0.0111706 0.0111706 0.0111706 0.0111706 0.0111706 0.0111706 0.0111706 116.92 114.9 111.35 127.011 129.691 131.221 132.251 132.011 129.491 125.581 125.721 123.081 117.911 116.151 118.441 115.801 115.311 112.541 138.758 139.918 139.808 139.438 136.798 133.768 130.748 126.838 127.358 125.728 122.708 122.088 120.458 119.208 115.298 115.818 135.234 136.384 136.284 135.924 133.174 130.934 128.444 125.194 125.724 123.354 120.354 118.994 117.134 140 173 131 42 95 17 68 197 59 2 119 19 28 65 18 95 201 40 199 1420 682 714 2336 2216 1327 1025 920 465 138 1411 1439 2388 1849 1740 1666 1672 2455 403 856 2050 1271 2429 812 405 1630 2376 861 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 7.3 0 0 0 0 0 0 0 0 0 0 0 0 0.0928 0.0987 0.1365 0.1005 0.0607 0.1462 0.0727 0.1168 0.1222 0.1723 0.0925 0.0416 0.155 0.1197 0.164 0.0881 0.1652 0.1552 0.1983 0.1091 0.0897 0.0985 0.1453 0.1233 0.1422 0.057 0.1765 0.1266 0.1887 0.0446 0.1447 0.092 0.0992 0.0451 0.148 0.0691 0.1088 0.0695 0.1997 0.1567 0.0585 0.1333 0.0615 0.1455 0.1136 0.0916 0.0971 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 0.0111706 0.0111706 0.0111706 0.0123481 0.0123481 0.0123481 0.0123481 0.0123481 0.0123481 0.0123481 0.0123481 0.0123481 0.0123481 0.0123481 0.0123481 0.0123481 0.0123481 0.0123481 0.0123481 0.0132672 0.0132672 0.0132672 0.0132672 0.0132672 0.0132672 0.0132672 0.0132672 0.0132672 0.0132672 0.0132672 0.0132672 0.0132672 0.0132672 0.0132672 0.0132672 0.0015988 0.0015988 0.0015988 0.0015988 0.0015988 0.0015988 0.0015988 0.0015988 0.0015988 0.0015988 0.0015988 0.0015988 117.284 113.144 111.534 130.989 131.889 132.149 132.039 130.299 128.929 126.299 122.539 123.189 121.059 117.809 116.559 114.309 114.079 111.959 110.839 128.679 130.089 130.239 130.269 128.169 126.189 123.209 119.099 120.509 119.039 115.309 114.709 113.229 112.639 111.029 110.689 125.817 127.307 128.927 129.667 128.647 128.127 129.377 128.857 126.457 125.427 122.527 120.247 2436 36 30 76 1155 1273 1886 630 407 488 1971 62 118 2 42 92 160 149 178 160 56 152 3 196 157 221 62 64 143 139 217 182 162 159 162 145 203 135 158 182 35 163 105 163 131 73 55 12500 16000 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 630 800 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2.7 2.7 0.1024 0.0863 0.0558 0.162 0.0664 0.1184 0.1217 0.1748 0.1667 0.168 0.0743 0.1061 0.1639 0.1745 0.0321 0.192 0.0688 0.0828 0.1623 0.1434 0.1827 0.1276 0.047 0.1314 0.1189 0.0807 0.0632 0.1954 0.0708 0.0378 0.1008 0.1331 0.1141 0.1143 0.1747 0.1891 0.1123 0.0582 0.1392 0.0468 0.0668 0.1647 0.0863 0.197 0.1763 0.1604 0.1884 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 0.0015988 0.0015988 0.00172668 0.00172668 0.00172668 0.00172668 0.00172668 0.00172668 0.00172668 0.00172668 0.00172668 0.00172668 0.00172668 0.00172668 0.00172668 0.00172668 0.00172668 0.00172668 0.00193287 0.00193287 0.00193287 0.00193287 0.00193287 0.00193287 0.00193287 0.00193287 0.00193287 0.00193287 0.00193287 0.00193287 0.00193287 0.00193287 0.00209405 0.00209405 0.00209405 0.00209405 0.00209405 0.00209405 0.00209405 0.00209405 0.00209405 0.00209405 0.00209405 0.00209405 0.00209405 0.00243851 0.00243851 117.087 113.297 120.573 123.583 126.713 128.583 129.953 130.183 129.673 127.763 127.753 127.233 125.203 123.303 121.903 119.253 117.093 112.803 119.513 124.403 127.903 130.033 131.023 131.013 129.633 126.863 125.603 125.343 123.453 121.313 120.553 115.413 121.617 125.997 129.117 130.987 131.467 130.817 128.907 125.867 124.207 123.807 122.397 119.737 117.957 127.404 127.394 181 124 55 136 5 179 150 140 96 157 51 153 137 195 116 196 65 194 113 85 190 148 54 183 100 92 157 40 217 137 91 96 203 205 188 29 189 34 56 49 145 11 75 155 132 168 65 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 400 500 630 800 1000 1250 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 2.7 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 0.1811 0.159 0.166 0.0357 0.0372 0.1995 0.1531 0.0621 0.1189 0.0816 0.131 0.1329 0.0737 0.0991 0.1866 0.1844 0.1909 0.1947 0.0871 0.1031 0.1153 0.1607 0.1309 0.1927 0.1764 0.1993 0.082 0.092 0.1588 0.0816 0.1401 0.1794 0.0404 0.082 0.0727 0.1866 0.1039 0.0392 0.1664 0.0658 0.072 0.04 0.1413 0.122 0.1599 0.1921 0.0677 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 0.00243851 0.00243851 0.00243851 0.00243851 0.00243851 0.00243851 0.00243851 0.00243851 0.00243851 0.00243851 0.00243851 0.00243851 0.00243851 0.00294804 0.00294804 0.00294804 0.00294804 0.00294804 0.00294804 0.00294804 0.00294804 0.00294804 0.00294804 0.00294804 0.00294804 0.00294804 0.00294804 0.00294804 0.00401199 0.00401199 0.00401199 0.00401199 0.00401199 0.00401199 0.00401199 0.00401199 0.00401199 0.00401199 0.00401199 0.00401199 0.00401199 0.00433288 0.00433288 0.00433288 0.00433288 0.00433288 0.00433288 128.774 130.144 130.644 130.114 128.334 127.054 126.534 124.364 121.944 120.534 116.724 113.034 110.364 121.009 125.809 128.829 130.589 130.829 130.049 128.139 125.589 122.919 121.889 121.499 119.209 116.659 112.589 108.649 124.121 126.291 128.971 131.281 133.201 134.111 133.241 131.111 127.591 123.311 121.431 120.061 116.411 126.807 129.367 131.807 133.097 132.127 130.777 38 186 9 146 123 108 221 201 25 72 213 129 195 141 75 33 119 205 120 110 208 19 211 221 23 133 19 84 167 96 200 171 18 107 152 120 143 24 104 170 115 159 125 128 105 209 190 1600 2000 2500 3150 4000 5000 6300 8000 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 315 400 500 630 800 1000 1250 1600 2000 2500 3150 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 0.1042 0.1666 0.1698 0.0764 0.087 0.1416 0.1945 0.159 0.1978 0.1715 0.0693 0.1323 0.1683 0.0697 0.0729 0.1885 0.1148 0.1991 0.1102 0.1714 0.1659 0.0425 0.1599 0.1681 0.0474 0.0599 0.0423 0.1616 0.0768 0.1452 0.0426 0.1972 0.1235 0.1333 0.1841 0.0738 0.1715 0.0485 0.1461 0.1887 0.0764 0.0525 0.104 0.1045 0.063 0.1129 0.1795 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 0.00433288 0.00433288 0.00433288 0.00433288 0.00433288 0.00433288 0.00433288 0.00433288 0.00485029 0.00485029 0.00485029 0.00485029 0.00485029 0.00485029 0.00485029 0.00485029 0.00485029 0.00485029 0.00485029 0.00485029 0.00485029 0.00485029 0.00525474 0.00525474 0.00525474 0.00525474 0.00525474 0.00525474 0.00525474 0.00525474 0.00525474 0.00525474 0.00525474 0.00525474 0.00525474 0.00525474 0.00752039 0.00752039 0.00752039 0.00752039 0.00752039 0.00752039 0.00752039 0.00752039 0.00752039 0.00752039 0.00752039 130.567 128.707 124.077 121.587 119.737 118.757 117.287 114.927 125.347 127.637 129.937 132.357 132.757 130.507 127.117 126.267 124.647 120.497 119.137 117.137 117.037 116.677 125.741 127.781 129.681 131.471 131.491 128.241 123.991 123.761 122.771 119.151 118.291 116.181 115.691 115.591 128.713 130.123 132.043 134.853 136.023 134.273 132.513 130.893 128.643 124.353 116.783 199 110 151 219 33 156 161 133 131 54 24 48 212 91 4 187 134 24 6 135 132 101 34 27 86 184 35 140 173 131 42 95 17 68 197 59 2 119 19 28 65 18 95 201 40 199 1116 4000 5000 6300 8000 10000 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 7.2 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 0.0719 0.1892 0.169 0.1437 0.0792 0.0659 0.0413 0.0376 0.1732 0.1395 0.086 0.1931 0.1674 0.0886 0.1147 0.0654 0.1238 0.1772 0.1514 0.0915 0.1584 0.0908 0.1283 0.108 0.0951 0.1758 0.0866 0.156 0.1015 0.1426 0.186 0.1629 0.139 0.1732 0.0748 0.1487 0.1544 0.198 0.1605 0.1029 0.1272 0.1247 0.1295 0.0594 0.1385 0.0769 0.0639 71.3 71.3 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 0.00752039 0.00752039 0.00752039 0.00752039 0.00752039 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.00909175 0.0193001 0.0193001 0.0193001 0.0193001 0.0193001 0.0193001 0.0193001 0.0193001 0.0193001 0.0193001 0.0193001 0.0193001 0.0193001 0.0193001 0.0193001 0.0193001 0.0208438 0.0208438 0.0208438 0.0208438 0.0208438 0.0208438 0.0208438 0.0208438 0.0208438 119.343 118.343 116.603 113.333 110.313 127.488 130.558 132.118 132.658 133.198 132.358 128.338 122.428 120.058 120.228 117.478 111.818 114.258 113.288 112.688 111.588 110.868 134.319 135.329 135.459 135.079 131.279 129.889 128.879 126.349 122.679 121.789 120.779 119.639 116.849 115.079 114.569 112.039 131.955 133.235 132.355 131.605 127.815 127.315 126.565 124.665 121.635 205 2146 1603 914 437 598 2801 1420 682 714 2336 2216 1327 1025 920 465 138 1411 1439 2388 1849 1740 1666 1672 2455 403 856 2050 1271 2429 812 405 1630 2376 861 2436 36 30 76 1155 1273 1886 630 407 488 1971 62 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 0.0345 0.0447 0.0326 0.0408 0.1741 0.0771 0.1551 0.0657 0.1043 0.04 0.0608 0.0372 0.0706 0.1993 0.0924 0.1158 0.1935 0.1908 0.129 0.139 0.1792 0.0513 0.0866 0.0507 0.0911 0.1521 0.1619 0.1962 0.1219 0.1417 0.1164 0.0993 0.1952 0.1784 0.1358 0.0787 0.1944 0.0862 0.0352 0.0777 0.0554 0.1226 0.1261 0.129 0.0917 0.0556 0.076 55.5 55.5 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 0.0208438 0.0208438 0.0208438 0.0208438 0.0208438 0.0208438 0.0208438 0.0233328 0.0233328 0.0233328 0.0233328 0.0233328 0.0233328 0.0233328 0.0233328 0.0233328 0.0233328 0.0233328 0.0233328 0.0233328 0.0233328 0.0233328 0.0233328 0.0252785 0.0252785 0.0252785 0.0252785 0.0252785 0.0252785 0.0252785 0.0252785 0.0252785 0.0252785 0.0252785 0.0252785 0.0252785 0.0252785 0.0252785 0.0252785 0.0483159 0.0483159 0.0483159 0.0483159 0.0483159 0.0483159 0.0483159 0.0483159 119.875 119.505 118.365 115.085 112.945 112.065 110.555 127.315 128.335 128.595 128.345 126.835 126.465 126.345 123.835 120.555 118.545 117.925 116.295 113.525 112.265 111.135 109.885 127.299 128.559 128.809 128.939 127.179 126.049 125.539 122.149 118.619 117.119 116.859 114.729 112.209 111.459 109.949 108.689 128.354 129.744 128.484 127.094 121.664 123.304 123.054 122.044 118 2 42 92 160 149 178 160 56 152 3 196 157 221 62 64 143 139 217 182 162 159 162 145 203 135 158 182 35 163 105 163 131 73 55 181 124 55 136 5 179 150 140 96 157 51 153 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 12.6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.1683 0.1907 0.0647 0.1811 0.0701 0.1332 0.0578 0.1796 0.1329 0.0521 0.0616 0.1436 0.0913 0.1207 0.1293 0.1582 0.0773 0.0665 0.0751 0.0437 0.1598 0.1618 0.1084 0.0942 0.1098 0.102 0.0573 0.0331 0.1726 0.0998 0.135 0.1153 0.041 0.1172 0.0995 0.0883 0.1088 0.0343 0.1347 0.1408 0.0865 0.0756 0.1275 0.0611 0.0378 0.0731 0.1687 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 0.0483159 0.0483159 0.0483159 0.0483159 0.0483159 0.0483159 0.0483159 0.0483159 0.0584113 0.0584113 0.0584113 0.0584113 0.0584113 0.0584113 0.0584113 0.0584113 0.0584113 0.0584113 0.0584113 0.0584113 0.0584113 0.0584113 0.0584113 0.0584113 0.000740478 0.000740478 0.000740478 0.000740478 0.000740478 0.000740478 0.000740478 0.000740478 0.000740478 0.000740478 0.000740478 0.000740478 0.000740478 0.00076193 0.00076193 0.00076193 0.00076193 0.00076193 0.00076193 0.00076193 0.00076193 0.00076193 0.00076193 120.154 120.534 117.504 115.234 113.334 108.034 108.034 107.284 114.75 115.89 116.02 115.91 114.9 116.55 116.56 114.67 112.16 110.78 109.52 106.88 106.26 104.5 104.13 103.38 130.96 129.45 128.56 129.68 131.06 131.31 135.07 134.43 134.43 133.04 130.89 128.74 125.22 124.336 125.586 127.076 128.576 131.456 133.956 134.826 134.946 134.556 132.796 137 195 116 196 65 194 113 85 190 148 54 183 100 92 157 40 217 137 91 96 203 205 188 29 189 34 56 49 145 11 75 155 132 168 65 38 186 9 146 123 108 221 201 25 72 213 129 8000 10000 12500 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 1000 1250 1600 2000 2500 3150 4000 5000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4.2 4.2 4.2 4.2 4.2 4.2 4.2 4.2 4.2 4.2 4.2 4.2 4.2 4.2 4.2 4.2 4.2 4.2 0.1155 0.0313 0.1515 0.1266 0.0486 0.1321 0.1068 0.077 0.04 0.0497 0.0937 0.1258 0.1299 0.1682 0.0957 0.0446 0.1673 0.1823 0.1985 0.043 0.0429 0.1986 0.1035 0.1832 0.0762 0.1693 0.177 0.1128 0.1161 0.1368 0.0511 0.033 0.1948 0.1127 0.1907 0.1957 0.0869 0.1507 0.0631 0.0716 0.1889 0.1374 0.0763 0.0339 0.1818 0.1573 0.1022 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 0.00076193 0.00076193 0.00076193 0.000791822 0.000791822 0.000791822 0.000791822 0.000791822 0.000791822 0.000791822 0.000791822 0.000791822 0.000791822 0.000791822 0.000791822 0.000791822 0.000812164 0.000812164 0.000812164 0.000812164 0.000812164 0.000812164 0.000812164 0.000812164 0.000812164 0.000812164 0.000812164 0.000812164 0.000812164 0.00142788 0.00142788 0.00142788 0.00142788 0.00142788 0.00142788 0.00142788 0.00142788 0.00142788 0.00142788 0.00152689 0.00152689 0.00152689 0.00152689 0.00152689 0.00152689 0.00152689 0.00152689 130.156 127.636 125.376 126.508 127.638 129.148 130.908 132.918 134.938 135.938 135.308 134.308 131.918 128.518 125.998 123.988 122.79 126.78 129.27 131.01 133.01 134.87 135.49 134.11 133.23 130.34 126.59 122.45 119.07 124.318 129.848 131.978 133.728 133.598 132.828 129.308 125.268 121.238 117.328 125.647 128.427 130.197 132.587 133.847 133.587 131.807 129.777 195 141 75 33 119 205 120 110 208 19 211 221 23 133 19 84 167 96 200 171 18 107 152 120 143 24 104 170 115 159 125 128 105 209 190 199 110 151 219 33 156 161 133 131 54 24 48 6300 8000 10000 800 1000 1250 1600 2000 2500 3150 4000 5000 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 200 4.2 4.2 4.2 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 11.2 0.1101 0.1524 0.0779 0.1341 0.0698 0.113 0.0754 0.1743 0.1154 0.1902 0.0816 0.0972 0.1612 0.141 0.1715 0.0809 0.0619 0.1228 0.1054 0.0652 0.1141 0.0541 0.1953 0.1863 0.1681 0.0905 0.0991 0.0897 0.0598 0.1471 0.1684 0.1727 0.1243 0.102 0.1253 0.046 0.1913 0.0718 0.1088 0.1498 0.15 0.1148 0.1322 0.0789 0.1186 0.1665 0.1064 39.6 39.6 39.6 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 0.00152689 0.00152689 0.00152689 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00529514 0.00544854 0.00544854 0.00544854 0.00544854 0.00544854 0.00544854 0.00544854 0.00544854 0.00544854 0.00544854 0.00544854 0.00544854 0.00566229 0.00566229 0.00566229 0.00566229 0.00566229 0.00566229 0.00566229 0.00566229 0.00566229 0.00566229 0.00566229 0.00580776 0.00580776 0.00580776 0.00580776 0.00580776 0.00580776 0.00580776 0.00580776 0.00580776 0.00580776 0.00580776 0.014072 125.717 120.397 116.967 127.556 129.946 132.086 133.846 134.476 134.226 131.966 126.926 121.146 121.582 123.742 126.152 128.562 130.722 132.252 133.032 133.042 131.542 128.402 122.612 115.812 120.015 122.905 126.045 128.435 130.195 131.205 130.965 129.965 127.465 123.965 118.955 120.076 122.966 125.856 128.246 129.516 130.156 129.296 127.686 125.576 122.086 118.106 125.941 212 91 4 187 134 24 6 135 132 101 34 27 86 184 35 140 173 131 42 95 17 68 197 59 2 119 19 28 65 18 95 201 40 199 2336 2216 1327 1025 920 465 138 1411 1439 2388 1849 1740 1666 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 200 250 315 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 11.2 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 0.1416 0.054 0.0942 0.078 0.0967 0.0847 0.1526 0.1137 0.1022 0.0753 0.1157 0.1676 0.1671 0.0548 0.0455 0.0819 0.1502 0.1479 0.0673 0.1788 0.0363 0.1185 0.0356 0.1425 0.0975 0.1724 0.0323 0.1975 0.1163 0.0569 0.058 0.1512 0.1207 0.1002 0.1561 0.0401 0.1392 0.0431 0.0545 0.0623 0.0482 0.0739 0.033 0.1888 0.1399 0.0872 0.1223 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 0.014072 0.014072 0.014072 0.014072 0.014072 0.014072 0.014072 0.014072 0.014072 0.014072 0.014072 0.014072 0.014072 0.0150478 0.0150478 0.0150478 0.0150478 0.0150478 0.0150478 0.0150478 0.0150478 0.0150478 0.0150478 0.0150478 0.0150478 0.0150478 0.0150478 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0264269 0.0271925 0.0271925 0.0271925 127.101 128.381 129.281 130.311 133.611 136.031 136.941 136.191 135.191 133.311 130.541 127.141 122.471 125.01 126.43 128.99 130.67 131.96 133.13 133.79 132.43 130.05 126.54 124.42 122.17 119.67 115.52 123.595 124.835 126.195 126.805 127.285 129.645 131.515 131.865 130.845 130.065 129.285 127.625 125.715 122.675 119.135 115.215 112.675 122.94 124.17 125.39 1672 2455 403 856 2050 1271 2429 812 405 1630 2376 861 2436 36 30 76 1155 1273 1886 630 407 488 1971 62 118 2 42 92 160 149 178 160 56 152 3 196 157 221 62 64 143 139 217 182 162 159 162 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 15.4 19.7 19.7 0.0895 0.1161 0.1369 0.1723 0.1792 0.0899 0.0888 0.0888 0.1526 0.1059 0.1911 0.1843 0.1957 0.1415 0.1951 0.1687 0.1135 0.1763 0.0743 0.0515 0.0862 0.1435 0.0681 0.1035 0.1747 0.1947 0.0599 0.0679 0.1909 0.1238 0.1368 0.1138 0.1982 0.0904 0.0547 0.0597 0.1946 0.1738 0.0946 0.1296 0.1961 0.1299 0.0472 0.1339 0.192 0.0334 0.1272 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 0.0271925 0.0271925 0.0271925 0.0271925 0.0271925 0.0271925 0.0271925 0.0271925 0.0271925 0.0271925 0.0271925 0.0271925 0.0271925 0.0282593 0.0282593 0.0282593 0.0282593 0.0282593 0.0282593 0.0282593 0.0282593 0.0282593 0.0282593 0.0282593 0.0282593 0.0282593 0.0282593 0.0282593 0.0282593 0.0289853 0.0289853 0.0289853 0.0289853 0.0289853 0.0289853 0.0289853 0.0289853 0.0289853 0.0289853 0.0289853 0.0289853 0.0289853 0.0289853 0.0289853 0.0289853 0.0341183 0.0341183 126.5 127.22 129.33 130.43 130.4 130 128.2 127.04 125.63 123.46 120.92 117.11 112.93 121.783 122.893 124.493 125.353 125.963 127.443 128.423 127.893 126.743 124.843 123.443 122.413 120.513 118.113 114.453 109.663 119.975 121.225 122.845 123.705 123.695 124.685 125.555 124.525 123.255 121.485 120.835 119.945 118.045 115.635 112.355 108.185 118.005 119.115 145 203 135 158 182 35 163 105 163 131 73 55 181 124 55 136 5 179 150 140 96 157 51 153 137 195 116 196 65 194 113 85 190 148 54 183 100 92 157 40 217 137 91 96 203 205 188 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 2500 3150 4000 5000 6300 8000 10000 12500 16000 20000 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000 20000 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 19.7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.1529 0.0567 0.0393 0.0389 0.1709 0.0572 0.1836 0.1995 0.1913 0.1837 0.0843 0.0703 0.1005 0.0935 0.1834 0.0917 0.0677 0.0947 0.0783 0.0449 0.1619 0.1269 0.1919 0.1316 0.1271 0.087 0.1356 0.1921 0.166 0.0647 0.1684 0.1995 0.0574 0.067 0.0766 0.0346 0.1922 0.1527 0.1908 0.0355 0.0586 0.1965 0.1249 0.1853 0.1496 0.1737 0.1495 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 0.0341183 0.0341183 0.0341183 0.0341183 0.0341183 0.0341183 0.0341183 0.0341183 0.0341183 0.0341183 0.0341183 0.0341183 0.036484 0.036484 0.036484 0.036484 0.036484 0.036484 0.036484 0.036484 0.036484 0.036484 0.036484 0.036484 0.036484 0.036484 0.000400682 0.000400682 0.000400682 0.000400682 0.000400682 0.000400682 0.000400682 0.000400682 0.000400682 0.000400682 0.00041229 0.00041229 0.00041229 0.00041229 0.00041229 0.00041229 0.00041229 0.00041229 0.00041229 0.00041229 0.00041229 121.235 123.865 126.995 128.365 124.555 121.885 121.485 120.575 120.055 118.385 116.225 113.045 125.974 127.224 129.864 130.614 128.444 120.324 119.174 118.904 118.634 117.604 117.724 116.184 113.004 108.684 133.707 137.007 138.557 136.837 134.987 129.867 130.787 133.207 130.477 123.217 127.623 130.073 130.503 133.223 135.803 136.103 136.163 134.563 131.453 125.683 121.933 29 189 34 56 49 145 11 75 155 132 168 65 38 186 9 146 123 108 221 201 25 72 213 129 195 141 75 33 119 205 120 110 208 19 211 221 23 133 19 84 167 96 200 171 18 107 152 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000 20000 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000 20000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 0.0628 0.1507 0.0455 0.0564 0.0643 0.098 0.1692 0.0891 0.1403 0.1834 0.0305 0.159 0.0746 0.1637 0.0428 0.0924 0.1915 0.1275 0.1488 0.0774 0.1484 0.1552 0.0623 0.078 0.0859 0.1109 0.1601 0.0494 0.109 0.0494 0.0917 0.09 0.0633 0.1031 0.1609 0.1598 0.1735 0.0592 0.1442 0.1158 0.1356 0.154 0.1845 0.1517 0.1171 0.1726 0.173 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 0.000428464 0.000428464 0.000428464 0.000428464 0.000428464 0.000428464 0.000428464 0.000428464 0.000428464 0.000428464 0.000428464 0.000439472 0.000439472 0.000439472 0.000439472 0.000439472 0.000439472 0.000439472 0.000439472 0.000439472 0.000439472 0.000439472 0.000439472 0.000439472 0.000848633 0.000848633 0.000848633 0.000848633 0.000848633 0.000848633 0.000848633 0.000848633 0.000848633 0.000848633 0.000848633 0.000873218 0.000873218 0.000873218 0.000873218 0.000873218 0.000873218 0.000873218 0.000873218 0.000873218 0.000873218 0.000873218 0.000873218 124.156 130.026 131.836 133.276 135.346 136.536 136.826 135.866 133.376 129.116 124.986 125.127 127.947 129.267 130.697 132.897 135.227 137.047 138.607 138.537 137.207 134.227 128.977 125.627 128.398 130.828 133.378 134.928 135.468 134.498 131.518 127.398 127.688 124.208 119.708 121.474 125.054 129.144 132.354 133.924 135.484 135.164 132.184 126.944 125.094 124.394 121.284 120 143 24 104 170 115 159 125 128 105 209 190 199 110 151 219 33 156 161 133 131 54 24 48 212 91 4 187 134 24 6 135 132 101 34 27 86 184 35 140 173 131 42 95 17 68 197 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 400 500 630 800 1000 1250 1600 2000 2500 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 4.8 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 0.0879 0.0532 0.1983 0.097 0.145 0.1708 0.0555 0.1796 0.0802 0.0954 0.046 0.0735 0.14 0.1645 0.116 0.0346 0.153 0.0907 0.1195 0.1171 0.1527 0.1041 0.1989 0.0742 0.1594 0.0308 0.185 0.1171 0.0519 0.1443 0.0751 0.1872 0.0574 0.0614 0.0847 0.1089 0.0615 0.0618 0.0712 0.0509 0.0811 0.0597 0.0825 0.033 0.172 0.1231 0.1663 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 0.000907475 0.000907475 0.000907475 0.000907475 0.000907475 0.000907475 0.000907475 0.000907475 0.000907475 0.000907475 0.000907475 0.000907475 0.000907475 0.000907475 0.000930789 0.000930789 0.000930789 0.000930789 0.000930789 0.000930789 0.000930789 0.000930789 0.000930789 0.000930789 0.000930789 0.000930789 0.000930789 0.00420654 0.00420654 0.00420654 0.00420654 0.00420654 0.00420654 0.00420654 0.00420654 0.00420654 0.00420654 0.00420654 0.0043284 0.0043284 0.0043284 0.0043284 0.0043284 0.0043284 0.0043284 0.0043284 0.0043284 116.366 118.696 120.766 122.956 125.026 125.966 128.916 131.236 133.436 134.996 135.426 134.336 131.346 126.066 116.128 120.078 122.648 125.348 127.408 128.718 130.148 132.588 134.268 135.328 135.248 132.898 127.008 125.726 127.206 129.556 131.656 133.756 134.976 135.956 136.166 134.236 131.186 127.246 120.952 123.082 125.452 128.082 130.332 132.202 133.062 134.052 134.152 59 2 119 19 28 65 18 95 201 40 199 1116 205 2146 1603 914 437 598 2801 1420 682 714 2336 2216 1327 1025 920 465 138 1411 1439 2388 1849 1740 1666 1672 2455 403 856 2050 1271 2429 812 405 1630 2376 861 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 250 315 400 500 630 800 1000 1250 1600 2000 2500 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 0.0403 0.121 0.0944 0.1803 0.0375 0.1252 0.1555 0.1235 0.0927 0.1027 0.1749 0.1581 0.1556 0.1326 0.0892 0.1656 0.1748 0.1791 0.0429 0.1523 0.198 0.1217 0.0904 0.0745 0.0917 0.0759 0.0455 0.0477 0.0488 0.1881 0.0663 0.1296 0.1736 0.0313 0.1696 0.1655 0.1669 0.1627 0.0918 0.1753 0.1833 0.0594 0.0353 0.1688 0.174 0.0863 0.1541 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 0.0043284 0.0043284 0.0043284 0.0043284 0.00449821 0.00449821 0.00449821 0.00449821 0.00449821 0.00449821 0.00449821 0.00449821 0.00449821 0.00449821 0.00449821 0.00449821 0.00449821 0.00449821 0.00449821 0.00449821 0.00461377 0.00461377 0.00461377 0.00461377 0.00461377 0.00461377 0.00461377 0.00461377 0.00461377 0.00461377 0.00461377 0.00461377 0.00461377 0.00461377 0.00461377 0.00461377 0.0121808 0.0121808 0.0121808 0.0121808 0.0121808 0.0121808 0.0121808 0.0121808 0.0121808 0.0121808 0.0121808 133.252 131.582 128.412 124.222 116.074 116.924 119.294 121.154 123.894 126.514 129.014 130.374 130.964 131.184 131.274 131.234 129.934 127.864 125.044 120.324 119.146 120.136 122.766 124.756 126.886 129.006 130.746 131.346 131.446 131.036 130.496 130.086 128.536 126.736 124.426 120.726 119.698 122.938 125.048 126.898 128.878 130.348 131.698 133.048 134.528 134.228 134.058 2436 36 30 76 1155 1273 1886 630 407 488 1971 62 118 2 42 92 160 149 178 160 56 152 3 196 157 221 62 64 143 139 217 182 162 159 162 145 203 135 158 182 35 163 105 163 131 73 55 3150 4000 5000 6300 8000 10000 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 200 250 315 400 500 630 800 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 12.7 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 0.1367 0.0672 0.171 0.1242 0.1258 0.1295 0.1281 0.1803 0.0394 0.1583 0.1895 0.1539 0.06 0.1491 0.1073 0.0947 0.127 0.0736 0.1363 0.1198 0.0766 0.0635 0.0379 0.1246 0.153 0.1479 0.1627 0.1782 0.183 0.176 0.1658 0.0839 0.0355 0.1548 0.0807 0.162 0.0481 0.1337 0.062 0.1272 0.1812 0.1579 0.1966 0.0322 0.1898 0.14 0.0404 71.3 71.3 71.3 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 0.0121808 0.0121808 0.0121808 0.0121808 0.0121808 0.0121808 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.0130253 0.016104 0.016104 0.016104 0.016104 0.016104 0.016104 0.016104 0.016104 0.016104 0.016104 0.016104 0.016104 0.016104 0.016104 0.016104 0.016104 0.016104 0.0165706 0.0165706 0.0165706 0.0165706 0.0165706 0.0165706 0.0165706 133.758 131.808 128.978 125.398 120.538 114.418 121.547 123.537 125.527 127.127 128.867 130.217 130.947 130.777 129.977 129.567 129.027 127.847 126.537 125.107 123.177 120.607 116.017 112.506 113.796 115.846 117.396 119.806 122.606 124.276 125.816 126.356 126.406 126.826 126.746 126.536 125.586 123.126 119.916 115.466 109.951 110.491 111.911 115.461 119.621 122.411 123.091 181 124 55 136 5 179 150 140 96 157 51 153 137 195 116 196 65 194 113 85 190 148 54 183 100 92 157 40 217 137 91 96 203 205 188 29 189 34 56 49 145 11 75 155 132 168 65 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 315 400 500 630 800 1000 1250 1600 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 17.4 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 0.1859 0.128 0.0753 0.1604 0.1601 0.1476 0.1748 0.0689 0.157 0.127 0.1852 0.0579 0.172 0.1371 0.0555 0.0607 0.0648 0.144 0.1123 0.0608 0.1224 0.0651 0.0962 0.1168 0.057 0.0951 0.0423 0.0882 0.1388 0.1011 0.0731 0.1699 0.1652 0.0724 0.1164 0.1284 0.0351 0.0846 0.1684 0.1936 0.168 0.0428 0.0668 0.1305 0.0411 0.0719 0.1142 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 0.0165706 0.0165706 0.0165706 0.0165706 0.0165706 0.0165706 0.0165706 0.0165706 0.0165706 0.0172206 0.0172206 0.0172206 0.0172206 0.0172206 0.0172206 0.0172206 0.0172206 0.0172206 0.0172206 0.0172206 0.0172206 0.0172206 0.0172206 0.0172206 0.0176631 0.0176631 0.0176631 0.0176631 0.0176631 0.0176631 0.0176631 0.0176631 0.0176631 0.0176631 0.0176631 0.0176631 0.0176631 0.0176631 0.0176631 0.0214178 0.0214178 0.0214178 0.0214178 0.0214178 0.0214178 0.0214178 0.0214178 126.001 129.301 126.471 125.261 124.931 124.101 121.771 118.941 114.861 114.044 114.714 115.144 115.444 117.514 124.514 135.324 138.274 131.364 127.614 126.644 124.154 123.564 122.724 119.854 116.146 116.956 118.416 120.766 127.676 136.886 139.226 131.796 128.306 126.846 124.356 124.166 123.466 121.996 117.996 115.857 117.927 117.967 120.657 123.227 134.247 140.987 131.817 38 186 9 146 123 108 221 201 25 72 213 129 195 141 75 33 119 205 120 110 208 19 211 221 23 133 19 84 167 96 200 171 18 107 152 120 143 24 104 170 115 159 125 128 105 209 190 2000 2500 3150 4000 5000 6300 8000 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 22.2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0905 0.0422 0.1053 0.0556 0.1956 0.1549 0.161 0.1361 0.0671 0.1233 0.1866 0.1055 0.1223 0.0771 0.0443 0.1792 0.1961 0.0915 0.1569 0.037 0.1353 0.0725 0.0478 0.079 0.1351 0.1813 0.0468 0.0837 0.0475 0.1463 0.1473 0.1518 0.0778 0.0313 0.1035 0.148 0.0479 0.0919 0.0795 0.1435 0.0681 0.1575 0.1337 0.0655 0.057 0.1404 0.0629 71.3 71.3 71.3 71.3 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 0.0214178 0.0214178 0.0214178 0.0214178 0.0214178 0.0214178 0.0214178 0.0229028 0.0229028 0.0229028 0.0229028 0.0229028 0.0229028 0.0229028 0.0229028 0.0229028 0.0229028 0.0229028 0.0229028 0.0229028 0.0229028 0.0229028 0.00121072 0.00121072 0.00121072 0.00121072 0.00121072 0.00121072 0.00121072 0.00121072 0.00121072 0.00121072 0.00121072 0.00121072 0.00121072 0.00121072 0.00131983 0.00131983 0.00131983 0.00131983 0.00131983 0.00131983 0.00131983 0.00131983 0.00131983 0.00131983 0.00131983 127.197 126.097 124.127 123.917 125.727 123.127 121.657 116.066 117.386 120.716 123.416 129.776 137.026 137.076 128.416 126.446 122.216 121.256 121.306 120.856 119.646 118.816 124.155 126.805 128.825 130.335 131.725 132.095 132.595 131.955 130.935 130.795 129.395 125.465 123.305 119.375 126.17 127.92 129.8 131.43 132.05 132.54 133.04 131.78 129.5 128.36 127.73 199 110 151 219 33 156 161 133 131 54 24 48 212 91 4 187 134 24 6 135 132 101 34 27 86 184 35 140 173 131 42 95 17 68 197 59 2 119 19 28 65 18 95 201 40 199 2336 8000 10000 12500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 630 800 1000 1250 1600 2000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 0.0991 0.1452 0.1037 0.1901 0.1988 0.0467 0.1141 0.1556 0.137 0.0592 0.0972 0.1188 0.198 0.0892 0.0829 0.0425 0.0417 0.1939 0.0334 0.0392 0.1454 0.0919 0.1014 0.179 0.0809 0.1284 0.1091 0.1716 0.1506 0.0881 0.1171 0.0756 0.1331 0.1844 0.1011 0.1179 0.1262 0.147 0.1261 0.0333 0.0563 0.1094 0.0613 0.0364 0.1847 0.1671 0.1488 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 0.00131983 0.00131983 0.00131983 0.00146332 0.00146332 0.00146332 0.00146332 0.00146332 0.00146332 0.00146332 0.00146332 0.00146332 0.00146332 0.00146332 0.00146332 0.00146332 0.00150092 0.00150092 0.00150092 0.00150092 0.00150092 0.00150092 0.00150092 0.00150092 0.00150092 0.00150092 0.00150092 0.00150092 0.00150092 0.00202822 0.00202822 0.00202822 0.00202822 0.00202822 0.00202822 0.00202822 0.00202822 0.00202822 0.00202822 0.00202822 0.00202822 0.002211 0.002211 0.002211 0.002211 0.002211 0.002211 124.45 121.93 119.91 125.401 128.401 130.781 132.271 133.261 133.251 132.611 130.961 127.801 126.021 125.631 122.341 119.561 126.413 129.053 131.313 133.063 133.553 133.153 132.003 129.973 126.933 124.393 124.253 120.193 115.893 131.074 131.434 132.304 133.664 134.034 133.894 132.114 128.704 127.054 124.904 121.234 116.694 126.599 129.119 131.129 132.769 133.649 133.649 2216 1327 1025 920 465 138 1411 1439 2388 1849 1740 1666 1672 2455 403 856 2050 1271 2429 812 405 1630 2376 861 2436 36 30 76 1155 1273 1886 630 407 488 1971 62 118 2 42 92 160 149 178 160 56 152 3 2500 3150 4000 5000 6300 8000 10000 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 630 800 1000 1250 1600 2000 2500 3150 500 630 800 1000 1250 1600 2000 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 3.3 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 0.0726 0.182 0.1347 0.1255 0.1776 0.1535 0.0375 0.1672 0.1314 0.0827 0.0865 0.0975 0.104 0.1301 0.1017 0.1481 0.068 0.1103 0.1734 0.0824 0.0505 0.1745 0.1712 0.0549 0.1713 0.0481 0.1465 0.0962 0.1597 0.0584 0.1734 0.0422 0.1251 0.1575 0.1877 0.172 0.0552 0.1942 0.1585 0.0463 0.0309 0.0963 0.1366 0.194 0.0692 0.1169 0.173 55.5 55.5 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 0.002211 0.002211 0.002211 0.002211 0.002211 0.002211 0.002211 0.00245138 0.00245138 0.00245138 0.00245138 0.00245138 0.00245138 0.00245138 0.00245138 0.00245138 0.00245138 0.00245138 0.00245138 0.00245138 0.00251435 0.00251435 0.00251435 0.00251435 0.00251435 0.00251435 0.00251435 0.00251435 0.00251435 0.00251435 0.00251435 0.00251435 0.00478288 0.00478288 0.00478288 0.00478288 0.00478288 0.00478288 0.00478288 0.00478288 0.0052139 0.0052139 0.0052139 0.0052139 0.0052139 0.0052139 0.0052139 132.889 130.629 127.229 124.839 123.839 120.569 115.659 127.251 129.991 131.971 133.211 133.071 132.301 130.791 128.401 124.881 122.371 120.851 118.091 115.321 128.952 131.362 133.012 134.022 133.402 131.642 130.392 128.252 124.852 122.082 120.702 117.432 131.448 134.478 136.758 137.658 136.678 134.568 131.458 124.458 129.343 133.023 135.953 137.233 136.883 133.653 129.653 196 157 221 62 64 143 139 217 182 162 159 162 145 203 135 158 182 35 163 105 163 131 73 55 181 124 55 136 5 179 150 140 96 157 51 153 137 195 116 196 65 194 113 85 190 148 54 2500 400 500 630 800 1000 1250 1600 2000 315 400 500 630 800 1000 1250 1600 2000 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 8.9 0.0613 0.0594 0.0943 0.1417 0.1388 0.0497 0.1339 0.0769 0.1381 0.1035 0.1542 0.1724 0.1891 0.1642 0.1331 0.0718 0.1493 0.154 0.1294 0.1634 0.0643 0.0757 0.1379 0.181 0.1299 0.1281 0.1633 0.1339 0.0707 0.0832 0.1431 0.1538 0.0469 0.0615 0.0926 0.1201 0.1855 0.1345 0.1962 0.1168 0.1488 0.1669 0.0836 0.1479 0.1255 0.1578 0.1702 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 0.0052139 0.00578076 0.00578076 0.00578076 0.00578076 0.00578076 0.00578076 0.00578076 0.00578076 0.00592927 0.00592927 0.00592927 0.00592927 0.00592927 0.00592927 0.00592927 0.00592927 0.00592927 0.0103088 0.0103088 0.0103088 0.0103088 0.0103088 0.0103088 0.0103088 0.0103088 0.0103088 0.0103088 0.0103088 0.0103088 0.0103088 0.0103088 0.0103088 0.0103088 0.0124596 0.0124596 0.0124596 0.0124596 0.0124596 0.0124596 0.0124596 0.0124596 0.0124596 0.0124596 0.0124596 0.0124596 0.0124596 124.273 128.295 130.955 133.355 134.625 134.515 132.395 127.375 122.235 126.266 128.296 130.206 132.116 132.886 131.636 129.256 124.346 120.446 133.503 134.533 136.583 138.123 138.523 138.423 137.813 135.433 132.793 128.763 124.233 123.623 123.263 120.243 116.723 117.253 133.42 134.34 135.38 135.54 133.79 131.92 130.94 129.58 127.71 123.82 119.04 119.19 119.35 183 100 92 157 40 217 137 91 96 203 205 188 29 189 34 56 49 145 11 75 155 132 168 65 38 186 9 146 123 108 221 201 25 72 213 129 195 141 75 33 119 205 120 110 208 19 211 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 8.9 8.9 8.9 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 0.1397 0.1793 0.0665 0.1961 0.1918 0.049 0.0962 0.1393 0.1631 0.1547 0.0786 0.0304 0.1668 0.1191 0.0867 0.0987 0.0952 0.1336 0.0585 0.1217 0.1338 0.0855 0.0618 0.099 0.1908 0.1785 0.0778 0.1609 0.11 0.0456 0.1707 0.0829 0.0642 0.1572 0.1434 0.1253 0.0684 0.0797 0.1149 0.1457 0.1466 0.1463 0.1529 0.1462 0.1319 0.1426 0.1218 39.6 39.6 39.6 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 55.5 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 0.0124596 0.0124596 0.0124596 0.0337792 0.0337792 0.0337792 0.0337792 0.0337792 0.0337792 0.0337792 0.0337792 0.0337792 0.0337792 0.0337792 0.0337792 0.0337792 0.0337792 0.0337792 0.0337792 0.0368233 0.0368233 0.0368233 0.0368233 0.0368233 0.0368233 0.0368233 0.0368233 0.0368233 0.0368233 0.0368233 0.0368233 0.0368233 0.0368233 0.0368233 0.0368233 0.0408268 0.0408268 0.0408268 0.0408268 0.0408268 0.0408268 0.0408268 0.0408268 0.0408268 0.0408268 0.0408268 0.0408268 116.22 113.08 113.11 130.588 131.568 137.068 139.428 140.158 135.368 127.318 127.928 126.648 124.748 122.218 121.318 120.798 118.018 116.108 113.958 132.304 133.294 135.674 136.414 133.774 124.244 125.114 125.484 124.214 121.824 118.564 117.054 116.914 114.404 112.014 110.124 128.545 129.675 129.415 128.265 122.205 121.315 122.315 122.435 121.165 117.875 114.085 113.315 221 23 133 19 84 167 96 200 171 18 107 152 120 143 24 104 170 115 159 125 128 105 209 190 199 110 151 219 33 156 161 133 131 54 24 48 212 91 4 187 134 24 6 135 132 101 34 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 15.6 0.1136 0.0917 0.1601 0.1883 0.1443 0.1264 0.0509 0.0442 0.1251 0.0917 0.1596 0.1825 0.1005 0.1965 0.1976 0.1537 0.1504 0.1332 0.0314 0.1989 0.1866 0.0759 0.0627 0.1863 0.1099 0.1789 0.1063 0.1754 0.0324 0.098 0.1535 0.1982 0.1288 0.0608 0.1754 0.14 0.0763 0.1088 0.0543 0.1544 0.0453 0.1197 0.192 0.1599 0.1967 0.1187 0.1644 39.6 39.6 39.6 39.6 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 31.7 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 71.3 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 39.6 0.0408268 0.0408268 0.0408268 0.0408268 0.0418756 0.0418756 0.0418756 0.0418756 0.0418756 0.0418756 0.0418756 0.0418756 0.0418756 0.0418756 0.0418756 0.0418756 0.0418756 0.0418756 0.0418756 0.0418756 0.0437259 0.0437259 0.0437259 0.0437259 0.0437259 0.0437259 0.0437259 0.0437259 0.0437259 0.0437259 0.0437259 0.0437259 0.0437259 0.0437259 0.0528487 0.0528487 0.0528487 0.0528487 0.0528487 0.0528487 0.0528487 0.0528487 0.0528487 0.0528487 0.0528487 0.0528487 0.0528487 113.055 110.905 108.625 107.985 124.987 125.857 124.717 123.207 118.667 119.287 120.037 119.777 118.767 114.477 110.447 110.317 110.307 108.407 107.147 107.267 130.898 132.158 133.808 134.058 130.638 122.288 124.188 124.438 123.178 121.528 119.888 118.998 116.468 113.298 123.514 124.644 122.754 120.484 115.304 118.084 118.964 119.224 118.214 114.554 110.894 110.264 109.254 27 86 184 4000 5000 6300 15.6 15.6 15.6 0.1354 0.1915 0.19 39.6 39.6 39.6 0.0528487 0.0528487 0.0528487 106.604 106.224 104.204 Group A Group B Prior Revised Training Training Scores Scores 88 88 81 76 80 96 89 79 89 90 61 87 88 89 56 80 74 85 86 88 69 86 50 83 72 93 65 77 79 92 65 75 75 87 54 88 70 81 71 82 79 85 53 86 80 75 64 90 58 79 80 76 80 89 50 95 61 79 61 85 74 83 75 83 54 78 71 90 66 89 57 92 83 86 68 80 77 97 54 89 80 84 62 86 70 80 70 82 50 65 76 64 55 61 91 68 70 50 64 73 73 72 78 70 76 81 87 83 79 85 77 83 86 85 91 88 85 91 82 84 82 84 81 84 Employee 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 Pre-Exposure μg/dL Post-Exposure μg/dL 6 8 10 12 15 16 17 18 19 21 22 23 23 26 27 28 29 29 31 31 33 34 34 35 35 36 36 36 36 38 38 39 39 41 41 41 42 42 43 43 44 46 46 48 48 49 6 8 10 12 15 16 17 18 19 21 22 23 23 26 27 28 29 29 31 31 33 34 34 35 38 40 42 44 36 38 38 39 39 41 41 41 42 42 43 43 44 46 46 48 48 49 47 48 49 50 50 56 50 50 56 Consulting Project Return on Investment (%) A = Air B = Soil C = Water D = Training 11 10 4 8 12 3 6 13 5 8 11 6 9 7 5 10 8 8 10 11 6 12 9 7 8 7 5 9 8 9 9 10 7 11 9 6 4 9 7 5 6 6 3 8 6 5 8 5 13 10 12 12 9 10 11 9 11 14 8 12 5 6 5 6 4 6 6 5 5 5 6 6 5 4 5 4 3 7 7 8 UNIT II STUDY GUIDE Research Questions and Hypotheses Course Learning Outcomes for Unit II Upon completion of this unit, students should be able to: 2. Examine the developmental components of the research process. 2.1 Differentiate between research questions and hypotheses. 2.2 Develop an introduction to a research project that includes an explanation of the research problems, the purpose of the study, research questions, and hypotheses about a business dilemma. Course/Unit Learning Outcomes 2.1 2.2 Learning Activity Unit Lesson Chapter 3 Chapter 7 Article: “Hypothesis Testing, Type I and Type II Errors” Unit II Scholarly Activity Chapter 5 Unit II Scholarly Activity Required Unit Resources Chapter 3: The Use of Theory, pp. 49–52 Chapter 5: The Introduction, pp. 101–110 Chapter 7: Research Questions and Hypotheses, pp. 136–141 In order to access the following resource, click the link below: Banerjee, A., Chitnis, U. B., Jadhav, S. L., Bhawalkar, J. S., & Chaudhury, S. (2009). Hypothesis testing, type I and type II errors. Industrial Psychiatry Journal, 18(2), 127–131. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2996198/ Unit Lesson This unit covers the topic of research questions and hypotheses. Research questions and hypotheses are closely related since they both function to describe, and ultimately solve, the management problem(s). The following will explain these foundational concepts of business research. Research Questions To solve the business problem(s), it is necessary to answer the research question(s). For example, consider a scenario where a U.S. company needs to make a large capital expenditure for a piece of manufacturing equipment. There are five models offered by five different vendors, and all might be suitable replacements for the obsolete equipment. The business problem is that they do not have enough information to determine which model is the best investment. Given the expensive price tag, the company wants to make the right decision to replace the obsolete equipment. The wrong decision would be quite costly. The company’s research consultant is commissioned to do a comparison of the five models of equipment: Models A, B, C, D, and E. The consultant’s job is to collect and test data on the five models so that the client MBA 5652, Research Methods 1 can make an evidence-based decision to reduce risk. There are several variables including UNITtoxconsider STUDY GUIDE production capacity, cost of operation, and error rate. The research question isTitle this: Which model will provide the most productivity? When this question is answered, the business problem is solved. Before the question is answered, however, it must be restated as a hypothesis and statistically tested. Hypotheses A hypothesis is an explicit statement about relationships or differences between variables or groups that is speculative, yet unsubstantiated (Cooper & Schindler, 2011). The consultant’s hypothesis, which is related to both the problem and research question, would be a prediction about the differences in productivity between Models A, B, C, D, and E. This would be a causal-comparative study. In this scenario, model type is the independent variable (also known as predictor variable), while production capacity, cost of operation, and error rate are the dependent variables (also known as outcome variables). In this causal-comparative scenario, the company happens to be hypothesizing about differences between models since finding differences would help answer the research question. As mentioned previously, hypotheses may also speculate about relationships between variables. For example, assume the research question is this: Which model has the highest unit output relative to cost per unit? Since cost per unit would decrease as production increases, the relationship between these variables, or correlation, would allow the company to compare models and make a sound business decision based on the strengths of the correlations. Using a hypothesis about relationships, the company would ideally like to determine the model with the greatest negative correlation between output and unit costs. In other words, as production increases, unit costs decrease. Stating hypotheses in inferential statistics is done in a specific manner. It is customary (and sometimes referred to as traditional) to state both a null hypothesis and an alternative hypothesis. A null hypothesis is a statement where no statistically significant relationship or statistically significant difference occurs between the variables or groups under study (Creswell & Creswell, 2018). Null hypothesis: There are no statistically significant differences in production capacity, cost of operation, and error rate between Models A, B, C, D, and E. Alternative hypothesis: There are statistically significant differences in production capacity, cost of operation, and error rate between Models A, B, C, D, and E. There are several unique things to notice about these hypotheses. The first thing is that the alternative hypothesis is the opposite of the null hypothesis. The null hypothesis should be viewed as the status quo. The status quo in the scenario is that no differences exist between models. The purpose of conducting the research is to determine if statistical differences do indeed exist. This is done by statistically analyzing the data to determine if the status quo, or the null hypothesis, can be rejected (Swanson & Holton, 2005). It is important to note that when engaging in hypothesis testing, the researcher can never make the statement that the hypothesis is proven or disproven. Research results simply allow the researcher to either accept or reject the null hypotheses. If research provided proof, there would be no reason to continue to conduct scientific inquiry. For example, the atom was once considered the smallest component of matter. Now, through science and hypothesis testing, atomic theory has moved to string theory. If researchers accepted the hypothesis that the atom was the smallest unit of matter as proof, we would know nothing about strings, vibrations, and their relationship to matter. Similarly, hypotheses about strings are not proven but accepted or rejected. The researcher should always speak in terms of either rejecting or accepting the null and alternative hypotheses. More specifically, it should be explicitly stated that, based on the statistical results, either the null hypothesis is rejected and the alternative hypothesis accepted, or the null hypothesis is accepted and the alternative hypothesis is rejected. It is an impossibility to either reject both the null and alternative hypotheses or accept both the null and alternative hypotheses since they are mutually exclusive events. Statistical Significance Notice in the null and alternative hypotheses stated above the use of the phrase statistically significant. Statistical procedures test for significant differences or significant relationships between variables. Before making decisions about Models A, B, C, D, and E, the researcher must have a certain level of confidence in MBA 5652, Research Methods 2 the results from the statistical procedure. The information needed to interpret statistical resultsGUIDE includes the UNIT x STUDY significance level (also known as alpha), a calculated statistical value, and theTitle calculated statistic’s corresponding p value (probability value). The alpha is a benchmark that is set by the researcher. In business and social science research, the alpha is customarily set at .05 (5%). An alpha of .05 is the normally accepted cut-off for rejecting the null hypothesis and accepting the alternative hypothesis (Field, 2005; Norusis, 2008). After the statistical procedure has been completed, the calculated statistic’s p value is then compared to the alpha. If the p value is less than .05, the null hypothesis is rejected, and the alternative hypothesis is accepted. If the p value is greater than .05, the null hypothesis is accepted, and the alternative hypothesis is rejected. Having a p value
Purchase answer to see full attachment
Explanation & Answer:
2 pages
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.

Explanation & Answer

View attached explanation and answer. Let me know if you have any questions.

1

Management Case Study

Student's Name
Institutional Affiliation
Course
Professor
Date

2
Management Case Study
Ensuring safety in the job area is an essential thing as it ensures the safety of
employees is guaranteed. Risk evaluation is important for an organization, and this is
done in processes such as risk identification, risk evaluation, risk mitigation, and risk
prevention. Risk identification involves effectively identifying the sources of risks within
and outside the organization that may directly affect the organization. Risk evaluation is
critically analyzing the risks in terms of the severity and frequency of occurrence. Risk
prevention and mitigation involve finding efficient and effective ways to reduce the
impact of the risks on the organization. Health observation within the work area is a core
thing. This is because it ensures the safety of the health of all employees within an
organization. Also, employees operating in healthy environments means that their health
will be stable and, hence, will be productive in their work (Chapman, 2018). Coaching
and training employees is an essential thing for the employees working for an
organiz...

Similar Content

Related Tags