Calculadora de funciones de error complementarias
Calcule la función de error complementaria.
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Calculadora de funciones de error complementarias
La Calculadora de la función de error complementario se utiliza para calcular la función de error complementario de un número dado.
Función de error complementaria
En matemáticas, la función de error complementario (también conocida como función de error complementario de Gauss) se define como:
Tabla de funciones de error complementario
La siguiente es la función de error y la tabla de funciones de error complementarias que muestra los valores de erf(x) y erfc(x) para x que van de 0 a 3,5 con un incremento de 0,01.
X | erf (x) | erfc (x) |
---|---|---|
0.0 | 0.0 | 1.0 |
0,01 | 0.011283416 | 0.988716584 |
0,02 | 0.022564575 | 0.977435425 |
0,03 | 0.033841222 | 0.966158778 |
0,04 | 0.045111106 | 0.954888894 |
0,05 | 0.056371978 | 0.943628022 |
0,06 | 0.067621594 | 0.932378406 |
0,07 | 0.07885772 | 0.92114228 |
0,08 | 0.090078126 | 0.909921874 |
0,09 | 0.101280594 | 0.898719406 |
0.1 | 0.112462916 | 0.887537084 |
0,11 | 0.123622896 | 0.876377104 |
0,12 | 0.134758352 | 0.865241648 |
0.13 | 0.145867115 | 0.854132885 |
0,14 | 0.156947033 | 0.843052967 |
0,15 | 0.167995971 | 0.832004029 |
0,16 | 0.179011813 | 0.820988187 |
0,17 | 0.189992461 | 0.810007539 |
0,18 | 0.200935839 | 0.799064161 |
0,19 | 0.211839892 | 0.788160108 |
0.2 0.2 | 0.222702589 | 0.777297411 |
0,21 | 0.233521923 | 0.766478077 |
0,22 | 0.244295912 | 0.755704088 |
0.23 | 0.2550226 | 0.7449774 |
0.24 | 0.265700059 | 0.734299941 |
0.25 | 0.27632639 | 0.72367361 |
0,26 | 0.286899723 | 0.713100277 |
0.27 | 0.297418219 | 0.702581781 |
0.28 | 0.307880068 | 0.692119932 |
0,29 | 0.318283496 | 0.681716504 |
0,3 | 0.328626759 | 0.671373241 |
0,31 | 0.33890815 | 0.66109185 |
0,32 | 0.349125995 | 0.650874005 |
0,33 | 0.359278655 | 0.640721345 |
0,34 | 0.369364529 | 0.630635471 |
0,35 | 0.379382054 | 0.620617946 |
0,36 | 0.389329701 | 0.610670299 |
0,37 | 0.399205984 | 0.600794016 |
0,38 | 0.409009453 | 0.590990547 |
0,39 | 0.4187387 | 0.5812613 |
0.4 0.4 | 0.428392355 | 0.571607645 |
0,41 | 0.43796909 | 0.56203091 |
0,42 | 0.447467618 | 0.552532382 |
0,43 | 0.456886695 | 0.543113305 |
0,44 | 0.466225115 | 0.533774885 |
0,45 | 0.47548172 | 0.52451828 |
0,46 | 0.48465539 | 0.51534461 |
0,47 | 0.493745051 | 0.506254949 |
0,48 | 0.502749671 | 0.497250329 |
0,49 | 0.511668261 | 0.488331739 |
0.5 0.5 | 0.520499878 | 0.479500122 |
0,51 | 0.52924362 | 0.47075638 |
0,52 | 0.53789863 | 0.46210137 |
0,53 | 0.546464097 | 0.453535903 |
0,54 | 0.55493925 | 0.44506075 |
0,55 | 0.563323366 | 0.436676634 |
0,56 | 0.571615764 | 0.428384236 |
0,57 | 0.579815806 | 0.420184194 |
0,58 | 0.5879229 | 0.4120771 |
0,59 | 0.595936497 | 0.404063503 |
0.6 | 0.603856091 | 0.396143909 |
0,61 | 0.611681219 | 0.388318781 |
0,62 | 0.619411462 | 0.380588538 |
0,63 | 0.627046443 | 0.372953557 |
0,64 | 0.634585829 | 0.365414171 |
0,65 | 0.642029327 | 0.357970673 |
0,66 | 0.649376688 | 0.350623312 |
0,67 | 0.656627702 | 0.343372298 |
0,68 | 0.663782203 | 0.336217797 |
0,69 | 0.670840062 | 0.329159938 |
0.7 | 0.677801194 | 0.322198806 |
0,71 | 0.68466555 | 0.31533445 |
0,72 | 0.691433123 | 0.308566877 |
0,73 | 0.698103943 | 0.301896057 |
0,74 | 0.704678078 | 0.295321922 |
0,75 | 0.711155634 | 0.288844366 |
0,76 | 0.717536753 | 0.282463247 |
0,77 | 0.723821614 | 0.276178386 |
0,78 | 0.730010431 | 0.269989569 |
0,79 | 0.736103454 | 0.263896546 |
0.8 | 0.742100965 | 0.257899035 |
0,81 | 0.748003281 | 0.251996719 |
0,82 | 0.753810751 | 0.246189249 |
0,83 | 0.759523757 | 0.240476243 |
0,84 | 0.765142711 | 0.234857289 |
0,85 | 0.770668058 | 0.229331942 |
0,86 | 0.776100268 | 0.223899732 |
0,87 | 0.781439845 | 0.218560155 |
0,88 | 0.786687319 | 0.213312681 |
0,89 | 0.791843247 | 0.208156753 |
0.9 | 0.796908212 | 0.203091788 |
0,91 | 0.801882826 | 0.198117174 |
0,92 | 0.806767722 | 0.193232278 |
0,93 | 0.811563559 | 0.188436441 |
0,94 | 0.816271019 | 0.183728981 |
0,95 | 0.820890807 | 0.179109193 |
0,96 | 0.82542365 | 0.17457635 |
0,97 | 0.829870293 | 0.170129707 |
0,98 | 0.834231504 | 0.165768496 |
0,99 | 0.83850807 | 0.16149193 |
1.0 | 0.842700793 | 0.157299207 |
1.01 | 0.846810496 | 0.153189504 |
1.02 | 0.850838018 | 0.149161982 |
1.03 | 0.854784211 | 0.145215789 |
1.04 | 0.858649947 | 0.141350053 |
1.05 | 0.862436106 | 0.137563894 |
1.06 | 0.866143587 | 0.133856413 |
1.07 | 0.869773297 | 0.130226703 |
1.08 | 0.873326158 | 0.126673842 |
1.09 | 0.876803102 | 0.123196898 |
1.1 | 0.88020507 | 0.11979493 |
1.11 | 0.883533012 | 0.116466988 |
1.12 | 0.88678789 | 0.11321211 |
1.13 | 0.88997067 | 0.11002933 |
1.14 | 0.893082328 | 0.106917672 |
1,15 | 0.896123843 | 0.103876157 |
1.16 | 0.899096203 | 0.100903797 |
1,17 | 0.902000399 | 0.097999601 |
1,18 | 0.904837427 | 0.095162573 |
1.19 | 0.907608286 | 0.092391714 |
1,2 | 0.910313978 | 0.089686022 |
1,21 | 0.912955508 | 0.087044492 |
1,22 | 0.915533881 | 0.084466119 |
1,23 | 0.918050104 | 0.081949896 |
1,24 | 0.920505184 | 0.079494816 |
1,25 | 0.922900128 | 0.077099872 |
1,26 | 0.925235942 | 0.074764058 |
1,27 | 0.927513629 | 0.072486371 |
1,28 | 0.929734193 | 0.070265807 |
1,29 | 0.931898633 | 0.068101367 |
1.3 | 0.934007945 | 0.065992055 |
1,31 | 0.936063123 | 0.063936877 |
1,32 | 0.938065155 | 0.061934845 |
1,33 | 0.940015026 | 0.059984974 |
1,34 | 0.941913715 | 0.058086285 |
1,35 | 0.943762196 | 0.056237804 |
1,36 | 0.945561437 | 0.054438563 |
1,37 | 0.947312398 | 0.052687602 |
1,38 | 0.949016035 | 0.050983965 |
1,39 | 0.950673296 | 0.049326704 |
1.4 | 0.95228512 | 0.04771488 |
1,41 | 0.953852439 | 0.046147561 |
1,42 | 0.955376179 | 0.044623821 |
1,43 | 0.956857253 | 0.043142747 |
1,44 | 0.95829657 | 0.04170343 |
1,45 | 0.959695026 | 0.040304974 |
1,46 | 0.96105351 | 0.03894649 |
1,47 | 0.9623729 | 0,0376271 |
1,48 | 0.963654065 | 0.036345935 |
1,49 | 0.964897865 | 0.035102135 |
1,5 | 0.966105146 | 0.033894854 |
1,51 | 0.967276748 | 0.032723252 |
1,52 | 0.968413497 | 0.031586503 |
1,53 | 0.969516209 | 0.030483791 |
1,54 | 0.97058569 | 0.02941431 |
1,55 | 0.971622733 | 0.028377267 |
1,56 | 0.972628122 | 0.027371878 |
1,57 | 0.973602627 | 0.026397373 |
1,58 | 0.974547009 | 0.025452991 |
1,59 | 0.975462016 | 0.024537984 |
1.6 | 0.976348383 | 0.023651617 |
1,61 | 0.977206837 | 0.022793163 |
1,62 | 0.978038088 | 0.021961912 |
1,63 | 0.97884284 | 0.02115716 |
1,64 | 0.97962178 | 0.02037822 |
1,65 | 0.980375585 | 0.019624415 |
1,66 | 0.981104921 | 0.018895079 |
1,67 | 0.981810442 | 0.018189558 |
1,68 | 0.982492787 | 0.017507213 |
1,69 | 0.983152587 | 0.016847413 |
1.7 | 0.983790459 | 0.016209541 |
1,71 | 0.984407008 | 0.015592992 |
1,72 | 0.985002827 | 0.014997173 |
1,73 | 0.9855785 | 0.0144215 |
1,74 | 0.986134595 | 0.013865405 |
1,75 | 0.986671671 | 0.013328329 |
1,76 | 0.987190275 | 0.012809725 |
1,77 | 0.987690942 | 0.012309058 |
1,78 | 0.988174196 | 0.011825804 |
1,79 | 0.988640549 | 0.011359451 |
1,8 | 0.989090502 | 0.010909498 |
1,81 | 0.989524545 | 0.010475455 |
1,82 | 0.989943156 | 0.010056844 |
1,83 | 0.990346805 | 0.009653195 |
1,84 | 0.990735948 | 0.009264052 |
1,85 | 0.99111103 | 0.00888897 |
1,86 | 0.991472488 | 0.008527512 |
1,87 | 0.991820748 | 0.008179252 |
1,88 | 0.992156223 | 0.007843777 |
1,89 | 0.992479318 | 0.007520682 |
1.9 | 0.992790429 | 0.007209571 |
1,91 | 0.99308994 | 0.00691006 |
1,92 | 0.993378225 | 0.006621775 |
1,93 | 0.99365565 | 0.00634435 |
1,94 | 0.993922571 | 0.006077429 |
1,95 | 0.994179334 | 0.005820666 |
1,96 | 0.994426275 | 0.005573725 |
1,97 | 0.994663725 | 0.005336275 |
1,98 | 0.994892 | 0.005108 |
1.99 | 0.995111413 | 0.004888587 |
2,0 | 0.995322265 | 0.004677735 |
2,01 | 0.995524849 | 0.004475151 |
2,02 | 0.995719451 | 0.004280549 |
2,03 | 0.995906348 | 0.004093652 |
2,04 | 0.99608581 | 0.00391419 |
2,05 | 0.996258096 | 0.003741904 |
2,06 | 0.996423462 | 0.003576538 |
2,07 | 0.996582153 | 0.003417847 |
2,08 | 0.996734409 | 0.003265591 |
2,09 | 0.996880461 | 0.003119539 |
2.1 | 0.997020533 | 0.002979467 |
2.11 | 0.997154845 | 0.002845155 |
2.12 | 0.997283607 | 0.002716393 |
2,13 | 0.997407023 | 0.002592977 |
2,14 | 0.997525293 | 0.002474707 |
2,15 | 0.997638607 | 0.002361393 |
2,16 | 0.997747152 | 0.002252848 |
2,17 | 0.997851108 | 0.002148892 |
2,18 | 0.997950649 | 0.002049351 |
2,19 | 0.998045943 | 0.001954057 |
2.2 2.2 | 0.998137154 | 0.001862846 |
2,21 | 0.998224438 | 0.001775562 |
2,22 | 0.998307948 | 0.001692052 |
2,23 | 0.998387832 | 0.001612168 |
2,24 | 0.998464231 | 0.001535769 |
2,25 | 0.998537283 | 0.001462717 |
2,26 | 0.998607121 | 0.001392879 |
2,27 | 0.998673872 | 0.001326128 |
2,28 | 0.998737661 | 0.001262339 |
2,29 | 0.998798606 | 0.001201394 |
2.3 | 0.998856823 | 0.001143177 |
2,31 | 0.998912423 | 0.001087577 |
2,32 | 0.998965513 | 0.001034487 |
2,33 | 0.999016195 | 0.000983805 |
2,34 | 0.99906457 | 0.00093543 |
2,35 | 0.999110733 | 0.000889267 |
2,36 | 0.999154777 | 0.000845223 |
2,37 | 0.99919679 | 0.00080321 |
2,38 | 0.999236858 | 0.000763142 |
2,39 | 0.999275064 | 0.000724936 |
2,4 | 0.999311486 | 0.000688514 |
2,41 | 0.999346202 | 0.000653798 |
2,42 | 0.999379283 | 0.000620717 |
2,43 | 0.999410802 | 0.000589198 |
2,44 | 0.999440826 | 0.000559174 |
2,45 | 0.99946942 | 0.00053058 |
2,46 | 0.999496646 | 0.000503354 |
2,47 | 0.999522566 | 0.000477434 |
2,48 | 0.999547236 | 0.000452764 |
2,49 | 0.999570712 | 0.000429288 |
2.5 | 0.999593048 | 0.000406952 |
2,51 | 0.999614295 | 0.000385705 |
2,52 | 0.999634501 | 0.000365499 |
2,53 | 0.999653714 | 0.000346286 |
2,54 | 0.999671979 | 0.000328021 |
2,55 | 0.99968934 | 0.00031066 |
2,56 | 0.999705837 | 0.000294163 |
2,57 | 0.999721511 | 0.000278489 |
2,58 | 0.9997364 | 0.0002636 |
2,59 | 0.999750539 | 0.000249461 |
2.6 | 0.999763966 | 0.000236034 |
2,61 | 0.999776711 | 0.000223289 |
2,62 | 0.999788809 | 0.000211191 |
2,63 | 0.999800289 | 0.000199711 |
2,64 | 0.999811181 | 0.000188819 |
2,65 | 0.999821512 | 0.000178488 |
2,66 | 0.999831311 | 0.000168689 |
2,67 | 0.999840601 | 0.000159399 |
2,68 | 0.999849409 | 0.000150591 |
2,69 | 0.999857757 | 0.000142243 |
2.7 | 0.999865667 | 0.000134333 |
2,71 | 0.999873162 | 0.000126838 |
2,72 | 0.999880261 | 0.000119739 |
2,73 | 0.999886985 | 0.000113015 |
2,74 | 0.999893351 | 0.000106649 |
2,75 | 0.999899378 | 0.000100622 |
2,76 | 0.999905082 | 9.4918e-05 |
2,77 | 0.99991048 | 8.952e-05 |
2,78 | 0.999915587 | 8.4413e-05 |
2,79 | 0.999920418 | 7.9582e-05 |
2.8 | 0.999924987 | 7.5013e-05 |
2,81 | 0.999929307 | 7.0693e-05 |
2,82 | 0.99993339 | 6.661e-05 |
2,83 | 0.99993725 | 6.275e-05 |
2,84 | 0.999940898 | 5.9102e-05 |
2,85 | 0.999944344 | 5.5656e-05 |
2,86 | 0.999947599 | 5.2401e-05 |
2,87 | 0.999950673 | 4.9327e-05 |
2,88 | 0.999953576 | 4.6424e-05 |
2,89 | 0.999956316 | 4.3684e-05 |
2.9 | 0.999958902 | 4.1098e-05 |
2.91 | 0.999961343 | 3.8657e-05 |
2,92 | 0.999963645 | 3.6355e-05 |
2,93 | 0.999965817 | 3.4183e-05 |
2,94 | 0.999967866 | 3.2134e-05 |
2,95 | 0.999969797 | 3.0203e-05 |
2.96 | 0.999971618 | 2.8382e-05 |
2.97 | 0.999973334 | 2.6666e-05 |
2,98 | 0.999974951 | 2.5049e-05 |
2,99 | 0.999976474 | 2.3526e-05 |
3.0 | 0.99997791 | 2.209e-05 |
3,01 | 0.999979261 | 2.0739e-05 |
3,02 | 0.999980534 | 1.9466e-05 |
3,03 | 0.999981732 | 1.8268e-05 |
3,04 | 0.999982859 | 1.7141e-05 |
3,05 | 0.99998392 | 1.608e-05 |
3,06 | 0.999984918 | 1.5082e-05 |
3,07 | 0.999985857 | 1.4143e-05 |
3,08 | 0.99998674 | 1.326e-05 |
3,09 | 0.999987571 | 1.2429e-05 |
3.1 | 0.999988351 | 1.1649e-05 |
3.11 | 0.999989085 | 1.0915e-05 |
3.12 | 0.999989774 | 1.0226e-05 |
3.13 | 0.999990422 | 9.578e-06 |
3.14 | 0.99999103 | 8.97e-06 |
3.15 | 0.999991602 | 8.398e-06 |
3.16 | 0.999992138 | 7.862e-06 |
3.17 | 0.999992642 | 7.358e-06 |
3.18 | 0.999993115 | 6.885e-06 |
3.19 | 0.999993558 | 6.442e-06 |
3.2 | 0.999993974 | 6.026e-06 |
3.21 | 0.999994365 | 5.635e-06 |
3.22 | 0.999994731 | 5.269e-06 |
3.23 | 0.999995074 | 4.926e-06 |
3.24 | 0.999995396 | 4.604e-06 |
3,25 | 0.999995697 | 4.303e-06 |
3.26 | 0.99999598 | 4.02e-06 |
3.27 | 0.999996245 | 3.755e-06 |
3.28 | 0.999996493 | 3.507e-06 |
3.29 | 0.999996725 | 3.275e-06 |
3,3 | 0.999996942 | 3.058e-06 |
3.31 | 0.999997146 | 2.854e-06 |
3.32 | 0.999997336 | 2.664e-06 |
3,33 | 0.999997515 | 2.485e-06 |
3,34 | 0.999997681 | 2.319e-06 |
3,35 | 0.999997838 | 2.162e-06 |
3,36 | 0.999997983 | 2.017e-06 |
3,37 | 0.99999812 | 1.88e-06 |
3.38 | 0.999998247 | 1.753e-06 |
3,39 | 0.999998367 | 1.633e-06 |
3.4 | 0.999998478 | 1.522e-06 |
3.41 | 0.999998582 | 1.418e-06 |
3,42 | 0.999998679 | 1.321e-06 |
3,43 | 0.99999877 | 1.23e-06 |
3,44 | 0.999998855 | 1.145e-06 |
3,45 | 0.999998934 | 1.066e-06 |
3.46 | 0.999999008 | 9.92e-07 |
3,47 | 0.999999077 | 9.23e-07 |
3,48 | 0.999999141 | 8,59e-07 |
3,49 | 0.999999201 | 7.99e-07 |
3.5 | 0.999999257 | 7.43e-07 |
Cite este contenido, página o herramienta como:
"Calculadora de funciones de error complementarias" en https://miniwebtool.com/es/complementary-error-function-calculator/ de miniwebtool, https://miniwebtool.com/
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