Question
In the figure, n is transversal to lines
then ![text end text angle 8 equals ?](data:image/png;base64,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)
![](data:image/png;base64,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)
- 20°
- 70°
- 110°
- 290°
The correct answer is: 110°
Related Questions to study
In the figure, n is transversal to
,m then (x+y+z)-(p+q+r)=?
![](data:image/png;base64,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)
In the figure, n is transversal to
,m then (x+y+z)-(p+q+r)=?
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHsAAABiCAYAAABwHqwsAAAcu0lEQVR4nO2dd3QU593vPzOzvUqr1apXEEISSDQLMEgyYAebYBNsZFyu4xCX2LmvQ3ziN3E797XPPY5PHPuF3PgkIS65IRcSmxKMjSkJYHoRVYAAIUAgQGJR2yKttGXm/iHvGjDVIMQKvufMkc6W2WfmO7/f8/zqIyiKonABeDv8F3r5NqIYYk8P4DZuHG6TfQtBda0nMOk012Mct9ENOH8qvi3ZtxBuk30L4TbZtxCuec6OdiiyjKLIKAiEjVBJEhEEoWcH1g245ckO+b00NdTTprahDXrp0MSS6bAgSbfJ7nUItrvY99nv2WR/gPiTW6lPHMuvHh6GJPU+K+OWn7P9/haq9zYhaWR0MVY0WoWQLPf0sLoFtzzZbfUH2dmeQkmBA0VWkZkUjyBKPT2sbsEtTnaIU4dOIA0ahbX1BC2uFrRaA5LUO2/LLTtny3IIv9+PeeB4ds58lv/emcBLr/1v4tLikcTeSXbvvKorQFtbOwsX/pPJU8o5XHOQsfdNIik5iTijBknsfStxuEXJ9vl8VFdX8+c//5na2lra230sX/Ev2tvbUUkCvdDEBm5BshVFoampiV//+tds3ryZjo4OgsEgO3fuZO/evVwkvN8rcEuRHQwG8Xg8/OY3v2HTpk3069eP1NRU0tPTOXnyJFu2bKGjowP5tunVPVAUhUAggN/vJxQKdatkybLMli1bqKioID8/n4ceegiDwcAjjzyCw+Fg9+7d1NXVEQqFum0MPYkeXY2Hia6traWpqYns7GzsdjuS1D12rqIomEwmJkyYwKhRo9i/fz9arZaBAweiKAqff/451dXVpKamolaru2UMPYkbRnYgEMDj8dDa2srhw4fZu3cvu3btora2Fp/Ph1ar5bnnnmPKlCnXlWxFDhIKBZFREQwp5Obm0rdvXzo7O1m/fj0AmZmZ5ObmkpubS0FBQa8kGm4g2bIss2nTJn7xi1/gdDrx+/0oioLZbCYhIYHBgweTn59/3dW4EvTRUL2DdUeMFBcYOVHvobCoEFmWOXXqFGazGbPZTEZGBvn5+QiCgNhL7ewbRrYoiqSmppKcnExNTQ2KoqDX6+nTpw933303JSUl9OnT5/pLlSAgqhX2zP8zDe57KMzJRxRF/H4/x48fJz4+HoPBgEqlimiU3hjehBtItiRJ5OTk8NJLL+F2u9m3bx8mkwmXy8Wnn37K2rVrSUtLY+jQoZSWlpKUlITZbEav11+TpAmihrjUfAYlN7EzkEZxUV/0ahWNfj91dXWUlpZGfqO3khzGDdNXoihiMBgoKyvjrbfewmazkZaWxquvvspTTz2Fz+fjyy+/5O2336a8vJzp06ezZs0aWlpa8Hq9dHR0EAgErtIsUlAUBb/zGJ1ZAwicOEaTx0t7RydtbW2cPn0ah8OBTqe7MNGKQsDvx9/ZSSDgJxAMEZKj1w6X3njjjTcu9IY/eGXmh0Z1dYspSZJISkrC4XCwceNGDh06xDPPPMOzzz7L97//fVJSUtBoNBw6dIh58+YxZ84cqqurcblcBAIBrFYrarX6CqRQAaWTmt3rWXdIoKQ0l5PbdlHV0s6pIwfYsW0by5cvZ/z48QwfPhyVSnXuORUZ2d/CtuXzWbKhDgJH2XDAS0ZqAhqVEBVa4HwObzjZoigiSRLp6ekIgsDmzZspKSkhLy+P5ORkhgwZwogRI8jNzSUjIwNRFNm9ezcbNmxg586d7N+/nxMnTnQNXpJQFOXbRAEggCCiMztIdFjZs7uGqsMH6fA0425pYU9lJdXV1ajVakRRJCEhAZVKhUqlinxdkWU62xvZvmwJTY4C+mWkkxpvRSOJUeFSPZ9D4VrLf64lbzxshmVnZ2O1Wr81NwcCAVpbWzl16hSrV69m7ty5VFdXo9FoSEhIoKioiIcffpgxY8ag1+sRBOGcA8Dr9bJ48WLmzp3LE088QWlpKYIg8Le//Y0ZM2bw9NNP09TUhE6nY/r06aSlpXV9VwFZDtLRWsuyD2dSN+g/ebIkhRhD9AQKz+fwhkv22VCr1djt9osukERRRKfTYbPZGDhwIOXl5dx///3ExcXh8/moqamJEFldXQ10uUTVajVarZZgMEhFRQX//Oc/ef3117njjjuwWq34/X4WL15MY2Mj06ZN47HHHmP79u04nU5ycnJQq9UE/QEaG5w4a3dzwCvTUOshvU8KcRYD0RIUO5/DHn1MJUm6pANFEITIZ7RaLRaLBbvdzsCBA2lqamLDhg1s2rSJmpoaVq5cybJly8jJyWHkyJHk5eWRkJDAihUrGDVqFOnp6ZhMJqDrgaitrcXhcJCYmIjVamXq1Kl8+umn7Nu3j6FDhwIKR6uqOW3IYtSddjatq0OM8iTE6NFJdJEftodTUlIoLy/nBz/4AU6nkyNHjrBjxw4WLlzIjBkzEEWRxMRETCYTWVlZ56zi/X4/DQ0N5OTkYLFYUKvV9O/fn4yMDDZv3kxRUREGg4FhY0cjqFQIikKfPnegUquJZr6jiuwwzp6TRVEkJSUFh8NBUVERkydP5vjx43zxxRfMmzePM2fO8Pbbb/P+++8zbtw47rvvPkKhEB6PB4vFgslkijxEmZmZLF26NPIbas0365Hu8tffSEQl2WfjbFWv0+mIjY0lPT2dQYMGodfrOXjwIKIocuzYMRYtWsSCBQuwWq243W7a29tpaGhAp9Oh1WrR6/V0dnb29CV1G6Ke7AtBFEXUajU6nY7S0lJ++MMfUl9fz549e6iqqmL+/Pm0tLSwbNkyTp8+TWFhIaWlpb02jh1GryQ7HMzIyMjg5MmT6HQ6srOzSU9Pp7S0lMOHD3Py5EmKi4txOp0sXbqUNWvWRNT5hg0bKCgowGKxoNfrv7G9oxy94youAEEQyMnJYffu3TQ0NJCUlIROp0Oj0dDe3o7dbufll18mMzOTzZs3M2vWLHbu3EkgEODJJ59kwIABPPbYY5SVlWGz2dBoNKjVaiRJitqoWK8lW6VSkZ2dTXx8PP/+97+ZMmUKJpOJUChEc3MzarWatLQ07HY748aNw2QysWjRIpKSkmhsbOTgwYO8+eabqFQqhgwZwqBBgxg2bBhFRUXEx8dHJeG9lmxRFImJiaGkpIS//vWvpKamMmTIEILBIH6/H5VKhd1uJxAI0NjYyOrVqxkxYgT3338/wWCQgwcPUllZSVVVFdu3b6eyspIVK1aQk5NDXl4excXFZGVlYbVa0Wq1UZHw0KvIVhQiPuvw/FtYWEh5eTmvvvoqkydPpqysDJ/PR2xsLKIosm7dOmbOnElpaSkTJkwgLi4OgISEBEpKSujo6KC5uZmKigpmzZrFJ598gizLmM1m+vTpwzPPPMP48eNxOByR371ZgyQ96hv/zggFCPlaOdEKFpuFGL1E82kn7aKJFLvpHBUbCnVVfhw5coS5c+dy4MABKioqSEhIoKysjGAwyPjx4xk1alRkTj8bsixHztHW1kZDQwPr1q1j06ZNHD9+nPr6erRaLUOHDuWuu+4iNzeXnJwcYmJielzaz+cwKslWQn6Cp7fz3qwdDH/yYUoTfHw++3Nai6fwPwbZUV3AASLLMo2NjXz44Yd8+OGH3H333Tz++OPk5eVhs9mQJOmKJFJRFEKhEC0tLezZs4c1a9Zw8OBBDh48SGtrKxkZGQwfPpy8vDwGDBhASkoKZrMZnU53xb9xvXA+h1GpxgVRQozLxOb+IyvWDmbIMCdb6mXui9ehKBe+maIootFoEAQBo9HIPffcw8iRI68wNn7Wb389PcTFxVFWVsaoUaPweDw0NDSwZ88eFi5cyMcff4wsyyQmJpKRkcGDDz7IAw88gN1u71EVH5VkI4gIajtjSvuw+ouvWK4IaNKHkBurR7xESCoUCuF2uxFFkaysrGuStPBUIUkSGo2GmJgYMjMzGTNmDHV1daxdu5alS5dy8uRJ3n33Xd577z1GjhzJxIkTyc3NjaRdna/qw2M8efIkycnJ2Gy27zS+C6FHQ5zfHQIoAqJR5PjyBaxs0DK8rIzBOUloRIGL0dfU1MTy5ctpaGhg2rRpkRi6IvuoP3KEk6edOM84aTjTgqI2Y9JdmSyEnTgajQaTyURKSgrDhw9n8uTJDBw4EFmW8fl87Nu3j88//5yvvvoKl8uFz+cjGAxGkjBEUSQUCrF27Vp++tOf4nA46NOnz0WSMy6PmyrEeS0QBAFTXH/uHJXMv9boyUq0oxO5KNFAxBceFxcXUekgEwy42F+xniPNXtrOHOKr/Vp++J//yYNDE7/z+ERRxGQyUVJSwvDhw2lpaeHo0aNUVlaybt06Zs2ahaIopKen07dvX0pKSrjvvvtwOBwkJydjMBiYNWsWMTEx3HPPPWi12u88ljCilGwFhRCdHX6M9gQKCgeS5jBfNnvS6/Vy6tQpioqKzlp1C4hSDEPH3UvqsUr+3+83kn3viwzPNF3TCM8O0Gg0GoxGIykpKRQVFXHvvfdy/PhxNm7cyKpVq6ioqGDXrl3MmTOHgoICRo8ezQMPPMBf/vIXXnvtNRwOBwUFBRj0ejp97TQcq6bDnE6fFBvqq3DuRJ8bCOjKGWph16ov+XJDA3eMHY3dqLvst8KmU0ZGBlqt9mvJFhBFFXptkN0btlCfOZFXpxSSFHdtZJ+PsKq3Wq307duXsWPH8tprr7F06VL+8Ic/MHLkSOrr61mwYAEvvPACs2fPpq2tjUOHDvGrX/2K/VVVdPo7aDr8FZu3nqCl040/dHWBmyiVbAFB0GNPzqbs8bsoLIxDr7n8c+vz+XC5XKSkpJy1MJLp8Ln56tPZVHocPP/jCVh02ktOB9cLgiCgVqsZMWIEgwYNwul0cuDAAXbs2MH69etpaGjA7/ezdetW3njjdf7Xaz/lwLIt6Mc/SqI+BrVwdbIatWQjmug/+h76X+E3QqFQJB05OTn5HJNLaNvDii824k4ZwKpFc1gvaRhQMplxRQnddwlfQxRF9Ho9kiShUqlobGzk9OnTNDc3I0kSRqMRvV5P7eEaTuxYxuZQCdOsWmJiLKiuMhkuSsm+OiiKgt/vp76+Ho1Gg8ViOSvzREDnKGPGorIeHWN7eztz585l5syZeDweJEkiIyMjkl0zOK8P6uovqbAXEZeYSazx6qm7pcg+deoUdrv9uqxsrzcMBgNTpkwhOzs7Ui0TExODTqfDYNAT8jZztFlL/8EpxBogGFSQrrIlyC1DdmdnJydOnCApKQm9Xt/TQ/oWNBoNeXl55OXlXfD99g4vlj59iGmu5YTWTkZKCuardHHcMmSHJTs1NRWDwdDTQ7pq6GPjSR82hjhfEFGlRqe9+kY/UWp6XT06OztpbW2NZKxEGwRBRFTpMJtNGPXa75TSfMtIdkNDA4qinDdnK5G20zdrDPp64pYh+8iRIwBYrdaulbiioCgysqKgKEKk/Kg3c37Tk60oMnKgg05/kI6ATEgGrVaD0dhVc3Wl3NTU1CCKIg6HA0kS6PC52bHiH3zx7woahTgGjnmYqXf3J95sABTCZ+5NEn/Tk40coqPxKEuXreB4s0yjy0fGgDu5f8JoEozqK2o9qSgK+/fvR6PRkJycjCSBq6GSBYt3MfpHzzM4poG33ppJrPmXjC9MRK0O4W2T0VmsxJq/Ljq8AZfa3bjpyVZkmWC7i6MHqnH3nciDo7VUrFrNgtU2nrg7jxjD5W1mRVE4evQoJpPpa8nWYrGl8+hz/5Os/qlInTocRpnmI1v46F/78NuSkUIBOrDxyFNT6ZcQi7oXsB0Fq3EFRQ6hsaUzdHARuf0LKOgbS21NHT7/5QMBsizT2dlJS0sLer2e+Ph4JEmF3pzG0GG5aIIutnzyIQ1xpeSn66g7WIdhUBljx9yBpX4LSytb6AhGb2uNsxEFZHdBDgW7OvwrMv4OP5JKdUWLKVmWcTqdKIoSySgRRRFFCRHwnODzWf/NjI0x/MdLT5CXGo/GkcfYO/PJz89nWD8Dx0+4aO+U6Q103/RqvAsKnrq9LF7wD85kqjh5KkDJ5EIs+gtnb4aTAtvb2zl16hRbtmzB5/NhtVq7MkNEBU/LCRZ98Ef2dvbjjf+6n0wDtAU6CbbUUlntxGRu4eBxH0ljTejVt+fsGwdBQDLbSI810ImBkffew+jCFM7PGlIUhWAwSFtbGzt37mT79u00NTVx6NAhQqEQJ06cYPHixYy6sxhP9TIWLq3AMUhgzefz2Gi0k+tQUAIt7Pjy71T7OwnpB/JoYRzaGzRhK4rSrav/KCBbQBBEjLYUBtw9ibL+dow6NSr1t82uYDBIfX0977//PnV1dbzwwgskJCTw0UcfsWvXLkaPHs2WLVv49NNP+Pl/PM+sf/wdtVbTlXgoSrhr1rLCmM33p01joNGAQa3GaNBzI3aRUBQFWZa7tR/bTU+2IEno4jIoGXcPMRk2TAYdqgv4CgOBAM3NzXzwwQdYrVaeffZZUlJS8Hq9uN1udDodxcXFDB06lGXLlvH7P37Aj3/8Y0aMGBFpv6FYLNgTEomNsWE36W7oCvzMmTMsWbIEi8VCfn4+mZmZaDSarv1KZJk2rwe3L4hBChFQJAwGFe52MFuMGLVXVoxw85MtqtDGpjK0OPWSn2tra2P27Nn4/X6eeuopMjMzAWhubsbtdkcK/RITE5kyZQpWq5X58+eTlJREXl5eV7Meew4PPGohRSvdsCY54RqNpqYm5s2bR1VVVSQz9c477yQ+3o5alKnbu4GVhzrpb3Fx3CnStzCWLRs6GP/jiQzQqK9osRo1q/HLYevWraxcuZLnn3+e5OTkyOtutzsi2RaLBQC9Xk9JSQnZ2dls27YNn8+HLMtozPEUDMnHplZ1641RFCWitsPlRSkpKbz11ls88cQTVFRU8PLLL/PMM8/w97/PxeVupr72KAdqThKSGqneexC36wyHapvwB648D+2GSHa4r7jX6wVAp9Oh0+muS9lr+KatWbOGSZMmkZycfE69VmtrK83NzefknUmShMlkYtSoUXzxxRc0NTWRmJj4ddGAiPx1c/kwKeH/z/4bJipM1vl/zz7CnwuPtaOjg/b2dtra2mhra4v87/V6cblc9O3bl5UrV+J0Otm1cwcf//n3FOUOJ/P7P8RUP4f2mCLiOz2IuYNIVF95ULvbyQ6vkI8dO8bChQs5cuQIL7zwAv369ftWEd3537sShOutW1pamDp1auRmh9HY2MiZM2cYMWIEgiAQCAQi58/KysLr9bJ//36gyw8eDAYJBAKR3Q38fj+BQIBgMEgoFCIYDBIMBuno6IiQ5fF48Hq9eL1ePB4Pbrcbl8uFy+XC4/HQ1taGz+eL9F9VFCVSjRJOOQ53fuzyASiRhItgMMCxWgVjloHJeUns+cBLv3EFeOqWk5qkwy9dYKV6EXQr2eE9ORYvXsz8+fOpqqpi7Nix30Se+EZ6zpeis4+wVJz/vt/vx+PxUFVVhdfr5ejRo9TX10cqLj0eD5s2baK+vp4dO3bw5ptvIstyhMxgMMju3bvZtWsXNpuNUCgUeS9Mdpjk8JYW4b4rYWkN928JN9rT6XTo9fpIH3W9Xn/BQ6fTRTo5qFQqRFFEFEWOHj3KvHnzcLlcpKenU15ezshhg0lMzyE9w4Zt8nPYBuYQqAmhs6RgN0pX7APolipORVFwu904nU4+/vhj5s+fj9PpZOrUqTzyyCOROitFUSIq7UJHWFK8Xm9EOnw+H52dnQQCgQgJLpeL5uZmDAYDGo3mHEKbmppobGwkPj4+0n04bM8qikJbWxsA8fHxkUxOo9GIyWTCYrFgNpsxGo3nHAaDIUJYuC+bJEmo1WpUKhUajSZyhF87/2+Y4LCZ1dHRQUVFBe+99x779u0jIyODn/3sZ4wYMYK4uLhzWnMpioIcCiGEtcNFuLkhJbuyLPPRRx/xyiuv4HK5ALDZbNhstghhPp+PQCAQUWORtN6zeo+Gn/pL3aywanW5XGRlZREXF4fVao0QtX37dtauXcu7774baXIX3j3AbDYzc+ZM8vPzmTBhwgUTEa+2wvNyr13sfKdOneKdd95h3bp1jB49mtdff53Y2NhrKj68ISW7siyzfv36iGqSZZlgMEhmZiaxsbEYjUa0Wm2kPcXZRKrVajQazTkqUa/XRz6v1Woj74e/73a7eeedd3juueci9il0mWOtra1UVlbyve99j+Tk5MiYwlLt8/kii7ee7Ipks9l48skneeihh8jLy4t0hrieDpZuuTpJkvjJT35CcXExixcvZteuXUiShMViYerUqeTn52O1WiPN5sJtoL8LwvNoZmYmVVVVDBs2DK1WG5l/vV4vSUlJEdUbRmdnJzU1NQiCQFJSUo8nKeh0OgYPHtytv9Et5qQgCAwbNoxp06bxySefMGPGDOLi4li1ahWvvPIK27Ztw2g0Yjab0Wg017YtxNfqvri4mDlz5uD1eiOLKa/Xi9PpJCsr61tS297ezqpVq8jMzPw6xh397Sovh27zHWg0GgwGA1arlYkTJ/LZZ5/xyiuvUFxcHClCv57NZkaOHMmQIUP405/+hNPpjAREWlpaSE9PP2f173K52Lp1K4cOHWL48OHXzea/2dHtk5QgCFgsFiwWCz//+c9xu93X1EoqYn7xjXkpCAI2m40XX3yR3/72t3z22WdMmjSJ1tZW2tvbIx61sN28evXqyGeys7NvCamGG+wbD5esftdQnqIohIJ+QiGZEAKi0OWIUKukSMvp6dOnM3fuXH75y18SHx+P1+vFYDDgdrs5cOAA8+fPx+fz8fzzz5Ofn39TVod0F6KnW5IcJOhv4+jOtfx700E0yYkEjwcpfHIKIxzGiN0syzJNTU0sWbKE999//5xtH7VaLYWFhUyZMiXi8OjphVl3Imq7JSmhTtqO/Iv/enspg+6/iwznTj760oVu4gSGxxsRhG8Waw6Hg/LycjZu3Mju3bt5/PHHI7sJXLL0R1HOST/qbQ9C1JAdCvhx7ttFS/+JPHDvcFKkZLas+/KiF6AoCtXV1cTHxzNs2LBIt4VLoa3xKJu31SAprbTr+1A8cgg2rRA1e4JcDtGzBBVAErsiUoIAfJ3LfSEewuq8rq6OmJgYHA7HFZl4nU1HWPrX/8P//eoE3o5OZEHoFYmGYUSNZKs0epKGlZI7fy4Llvjo69/FjoZWCi/AhqIoEd+62WyOZJReDsFAgEAgiQdffJpxDhMG6corTqIBUUM2ohpN8p289KqarbsPQ0wSqWZ/pJox7JJta2tDpVJRV1eHSqWKuGavDAJojVh1IlIvqQI5G9FDtiAhqQ2kDywjvWAEIfc2Kj5r7Gq6J4Acktm5cyezZ8/m0Ucfpb6+HlEUsVgsEftao9FcslxXlEQktRrxEpGkaEb0zNlnQ5AQdamMmTSGvDg9Al2q+8yZMyxatIgVK1Zw4MCByF5g8+fP56677mLjxo2XPK1aayDWZkOnunE5aDcS0SPZZ0OQELQpjJ2cTFeqcVfJ7ZAhQ7Db7WzatCny0dra2siOP2az+ZKn1acM5cU3B6LRqeiNPrXoJBsBBBVnZzWF88omTZrExx9/jNfrRaPRsGTJEjo6Ovjd735Hfn7+Jc+q0enR6HqvRy061fhFoFarKS0tJTY2Fo/HQ2trKz6fj+nTpzNmzJiobK9xPdHryC4oKKCoqAhBENBqtdx7772Ul5djMplumYDHxRClavzCUKlUJCYmkpaWhkajIS0tjR/96EeRgoFbHb2KbOjyZ0+ePJnKykqefvppBg0a1NNDumkQPVGvq0B7ezt+vx+DwXDV20L0JkRt1OtqEE7zvZm3XeoJ9Eqyb5N8YfSq1fhtXBrXLNlXOrffRs/jtmTfQvj/2948lUfk/MsAAAAASUVORK5CYII=)
According to the data given in figure, x = ?
![](data:image/png;base64,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)
According to the data given in figure, x = ?
![](data:image/png;base64,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)
Ramesh and Mahesh solve an equation. In solving Ramesh commits a mistake in constant term and finds the roots 8 and 2. Mahesh commits a mistake in the coefficient of x and finds the roots – 9 and – 1. The correct roots are
Here we were given that in solving Ramesh commits a mistake in constant term and finds the roots 8 and 2. Many might create incorrect quadratic equations using the provided roots because they don't multiply carefully, which results in errors in one of the equation's signs. So the solution is 9, 1.
Ramesh and Mahesh solve an equation. In solving Ramesh commits a mistake in constant term and finds the roots 8 and 2. Mahesh commits a mistake in the coefficient of x and finds the roots – 9 and – 1. The correct roots are
Here we were given that in solving Ramesh commits a mistake in constant term and finds the roots 8 and 2. Many might create incorrect quadratic equations using the provided roots because they don't multiply carefully, which results in errors in one of the equation's signs. So the solution is 9, 1.