Calculadora de funciones de error complementarias
Calcule la función de error complementaria.
Embed Calculadora de funciones de error complementarias Widget
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 |
Reference this content, page, or tool as:
"Calculadora de funciones de error complementarias" at https://miniwebtool.com/es/complementary-error-function-calculator/ from miniwebtool, https://miniwebtool.com/
You can also try our new AI Math Solver to solve your math problems through natural language question and answer.
Otras herramientas relacionadas:
Calculadora de función errorOperaciones matemáticas avanzadas:
- Calculadora antilogaritmo Destacado
- Calculadora de funciones beta
- Calculadora de coeficientes binomiales
- Calculadora bit a bit
- Calculadora de combinación Destacado
- Calculadora de funciones de error complementarias
- Calculadora de números complejos
- Calculadora de función error
- Calculadora de caída exponencial (Alta precisión)
- Calculadora de crecimiento exponencial (Alta precisión)
- Calculadora integral exponencial
- Calculadora de exponentes (Alta precisión)
- Calculadora de Factorial Destacado
- Calculadora de función gamma
- Calculadora de Proporción Áurea Destacado
- Calculadora de media vida
- Calculadora de tasa de crecimiento porcentual Destacado
- Calculadora de permutación Destacado
- Calculadora de proporciones Destacado
- Calculadora de Fórmula Cuadrática
- Calculadora de notación científica Destacado
- Calculadora de suma de cubos
- Calculadora de suma de números enteros positivos
- Calculadora de suma de cuadrados