![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi4XAKQJvm9iTjciKqCF22Qr_YeUHhAzD-SRDfGbVq7UK5lq3o62yedy-V_ZePVKN8NVQHoBiZB0B4y-EIbN-MWjE1P1vZZp4mZU-xw6h5qoZqHpNyRen48J0Myqri8kZq5672nnaOyQRXv/s320/300X300+SBI+RBI+maths.jpg)
Dear Readers,
Mahendras has started special quizzes for SBI / RBI Main Exam so that you can practice more and more to crack the examination. This SBI / RBI Main Exam quiz series will mold your preparations in the right direction and the regular practice of these quizzes will be really very helpful in scoring good marks in the Examination. Here we are providing you important question of Quantitative aptitude for SBI / RBI Main Exam.
Q-(1-3) In each of these questions two equations numbered I and II are given. You have to solve both the equations and – Give answer
इनमें से प्रत्येक प्रश्न में दो समीकरण I और II दिए गए हैं। आपको दोनों समीकरणों को हल करना है और - उत्तर दें
(1) I.![](data:image/png;base64,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)
II.![](data:image/png;base64,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)
(1) if x < y
(2) if x ≤ y
(3) if x > y
(4) if x ≥ y
(5) if x = y or the relationship cannot be established.
(2) I.![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHUAAAAgCAYAAAAsRzf4AAAM/klEQVRoBe2ZWYxOWxbHyzzHrDXtGroJkdDdIa3jCfHgFS+tIxIvSMzS2kxCIiTkipglQjdCN00i0d1e0NdwaZShqszKrEqpeUR9q/Nb6n9618lX7qeul7qpnXy199l77TX911p7n1Np1th+ch5I+8lZ1GiQpQxqQUFB5K7Kykr7+PFj9PxjBx+q3pslzH+Jj9VWXlrmY+aLC4uicVlJqbEu2o/vP3x6/pEKlJWVWXV1tXNJJBJum/ry8vLP2io/wEPtw4cPPqTXWGvJemRXVFT4Er4tLCz0MTqolZaWRnPv37/3Mb3GoqNPCdTi4mKrqqoK933dcQ2gAgvgcl6/MUBjDpBD4JkrLS75P8BfSRsci604Nmw8FxUVRcCzBhDMsaaA0B748PsSnyE3zkd6JJtnLRmg6JASqNoMIzJWQjBKazKoPn1leYWD9jYn16oqKh1IZWRJUXEtYIsKCqNMBVzP5PoIDfZgVzyjAIXsUAbKzpKSEuNH0xx0+ATakA9ZnCqw2gdP9iDj7du3LocxvOL8yWTtC8xJDVRtUAnGCWE50Hq9++qEA6VsrCgr92eykTGge9ZWJ2qNldn1lluzESdik0op04Ck8pefnx8FMjSig4Y1tWRBoLXP9SSHWgiS5GstVf4pZerjx4/F140YNmyYpaWl2b59+6JojQjqM0iYFeYXGFkJgDpT41lpNeC/r6xy0AHcM7k+MmN7yBCyM3QkmfHu3buoHAM8QPJjTKN/8eKFB3kICPz4KQBi4mo9hjxD+ejD+Zqdne3HAvzUWOOZvfGWEqhsevbsmTM5deqUvXnzxvmMHTu2VqTGmaf6TMkFTDIvDiRrlGVAVwZ7hlYnrPrDR9+Tqpy66OJgJqMDMM49NcYhiAKZdTkaQFW+ta+uPgwUMjI3N7cWachfcum5yMVbyqASMSEDBO/fv9/u3LkT5/nFzwIU8AAsvPUqK9UL2NcvX301UMNsAgRApuE0MpXs0TkKmAKXOWXW3bt3fQ/7X758+UU+oPwLKDbiWzUl0IMHD3wKWirD51pKoMpIGKE0UUPq79mzJzLqc0J+cC1hduivB61l8xZ280Z6lLU6Y//4hynWJC3Nf/379nOad2/zPACeZT/9QfapEAAODhNIOHHOnDnWrFkz/02ePDlaFy1zrDdp0sSGDBliGRkZLiovL8/7+I25Lj2Qq4ZfdcZmZmbaqFGjrHnz5jZ8+HDTMUig0USnveodVBEBmAxTVlIWdBkAXClAGdY8NOxV2VEpkYPCiEawIpE9tLmz5zhgrVu2sntZd433Ub3OLJy/wAre5Vte7lsDSJ7bt21nuW9y/LWGzFYWcZEj4JR56BqeQ9I3roP0YJ6Mwc4ZM2bY8+fPXT/8M2LECJs1a5Y/wxfAX7165bLIpqVLl1rbtm39/BMfenTBD/JNqJ/8AB3lVnqjD9WgQ4cOUSVMT093YJmHh2xOBmyUqVyfFYEIQXGMU1kInXPixAk7fvy4r126dAnyqMFD4MMDR3777bceVfBinR8NQ32cMM++3/76N/bvf/7r0zlZnbAXz547yCq5AHjt6n+tb59v7MTxf0TA4xxlR2isDMYJAu7p06f+WrZmzZoIcHRQEGu/Xic4dtDz2rVrNm3aNNf79u3b9vDhwyiombxw4YINHDjQjhw54jQCkx79CAz8InAhkiyVc+bQE7p169bZ/Pnza9GsX7/elixZ4vz5o48U0UTNIAJVjj5//rzfbCknitR79+753IQJE2zZsmVecrj98rt48aIHAKDDAyMUCMjAWSjHHMahCIpjkOjIyvy8d/bL/gPs4ncXoo8K0aWp5lL08vkLfy/9/e9GWfr1Gw4qmd2mTRsbPHiw3b9/3806e/as6wYIYTYIWJy2cuVKz444mDBAN/lDgbh582a7fPmy6yww4E3QynbeCgCfPaIhoMLGPACzh6CnQR8GHvpRbm/evBmtM7hy5Yr17Nkz2he/TDmxPj4gAAWJIgTx27Rpkx07dswjb+rUqaKPjGWCfTQiDUXU4MMaimIAEca6yovotJ9MvJuZZT26dbesjEwvrXp94YYL4LrpZj9+4uWa2zCZ672ZbdmyxQ4dOmSnT5+25cuXuywyVXKVDdKB4FQm64OKgOQiondydF27dq0dPXpUartt+EugsA8AVJ7hqzXkM6aSYK9kwIxnfKXsVZbeunXLunXrZpRcAOeH3lSIHj16eImHljntjZQTqEwgWFHLM+dFu3btjFJLE0gwAigiNKTHSBwRV5S9gKrbG88qG5FSCfPLEWWV8gpYvMrwVUlnK3OM/7L/gGXeyfhUohPmAYDjnjx5Yr1797bdu3dHYAk0ZOIEbMRB2LZ161bPbJ7VWIcXjfm9e/d6xnNRad++vc2cOdPtEz0+0P6dO3f6RUnP0AjExYsXW79+/ZxXixYtjJ8qXadOnfw85lwW4CTDuHHjDHAFGkHJxWnAgAEuB11p2iOd6L38KopxAo5mA0LIUJ5ZR0GaAGGMUTQcKoCJSLKgc+fOkeIYQImkb9q0qU2cONFev37teylHfOqjtP78Zz3tu/P/ccC4+eqnV55b6Tft+0uXPQC4POmTIoZTiqZMmRJlGMChK/yxZ8OGDS6fQEUPHMutlTE/brIqldCHzoJP3759rVevXp6RABdm6pkzZ7w0h3sIcD2jHx8QVJLd8JpLFH6TXOjhzXHXp08fe/TokUh9L6B27949mhduEVHNIDpTdVGSIggi1Un5sKEEUS9AtQa9ohweBIPa6tWrIxDje3kmCx89eGjf/KKPg6YvS8zrd/X7K3bsb3+vlbkOdvWnixf6Dx061LNPTkK+MgcQaNKfkkqZ1TrAobeCEyAAhmfmGZNtqjjMQwMAu3btingzgFb+9IWaSsEY3Qg4yZWu6Kcxe0ePHm1Xr17Vdk8qLqcjR4503yObIBGfiFCZygREajDfsWOHl9558+b5GoDJMRgpZjk5OS4QcDRHr9LKHkCFpxyGHM/Qmi80ZOTTJ9k26FcD/WwNP+Yzfnj/gf35T4v9bAVkvgln3L7jX5rYi+4HDhzwc5VXDRp6oYOOA+TLaayvWrUqqjq6cIRVSFmlfdiPQ3lXlK8Yz5071/nIN9evX49ea+CHLxYsWGAdO3b0ikAZb926dVQheA1atGhR9EGDow3/rlixwnUMk4MKyH0B+dJVct3omj9RplK/aZTPGzdueN3mZXrMmDHOgC9H/OQYSlRd6R8KYAyoRC+NferhhQE0soYzkRKD0jiDNW7glCJKJI5p1aqVj2fPnh0FGRcKbobcfjmLAIQLE036MvaqUKMD75X68iOQOH7kLLKFBi+CkXvByZMnTV+O0JNyjF4tW7Y0zkbG06dPj2yFbzKnO+Pgj442ptAXHyGTGz32w4dXqEGDBnmgYodsUfAF7Gr/l4Zo58zhxVuN1wKU3bZtm6YceDlCTogWkwy4mfLtGFrKNmBpP+QbN270sxY5Xbt2tfHjxzsXHMgcP8AkqhlzvnEzP3z4sD8vXLjQ6TFw0qRJfu0/ePBgVBkIPiKeHqdBxyWIbCYDCSDWFGC81nXp0sV5K6sIdL0Lnzt3zte4QPGBAJ24K7Bn+/btrgv2KYB9IoU/AldAZWVleaDDv3///q5jGIj6hBhn7ZkaLqoUYSRjCWIjDiCa6dXC8qC5eK9LUXyeZyISGVy29EyPUyQbZ8NDz0SpMkAlVnpLH0UyjtU+F1Dzh4tLXA48dUQoWLFXWQv40MCTn2SJL9VGc/gPP6UCLLoroPTqo0+O4q11nsPqIz+Ijj4qv8ociFBMwKGUIjzciPE4TkaEa8nGKIVTkCNZ0MFfipHF8IVWfFW2xZN16OBFE530ZQ6jtc44dAL0WoMWwLWX+TgICkiyOt7QhaySw7GLMX7BZ1/SFDghL5V65tBLdjDGB8mCFZkOKps4oGkoRpRKKRiEIMAoNDx0UF1GsB8lAA96lJPykknmqLRQOUK+OuvkfPYwx4+meVUcBQl24Hh0xtFyDnM05tANWYAtPjxjvwJGWSsb2AuY8hm0yA4DkHFogwus4w96oRNy2EO2SkdtkW/4zBmCmUyGg6oFjJBDxEyG4gAJQgkUiNNqT7JeMlhDjhyMUyWDNWQooFjTmDUcicFytnjpDOIZvTAanuxXU5TzjGya5Ib8mNc+dFGmigabAQweyi7xhAY74St7wwRwoZ/5g97yMfric2wLQWR7aK/oQ7YOKptQSIpDwPmgc0cbEBQyQXF9HxZNsh7liHKchSwZzDwNuWHQsC5D0EFOFm8cKl0Ys07WKlNFFzpdjlDloQcg8UambCMwwkrAXoDUOmvyFTLIIgUKPMMAiusk3cIeGtHR41PZr16vUmE1YE3rIb/oTA0nG8cN2wONoDZs/JJq3whqUrc07MlGUBs2fkm1bwQ1qVsa9mQjqA0bv6TaN4Ka1C0Ne/J/XWOckTdpcWYAAAAASUVORK5CYII=)
II.![](data:image/png;base64,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)
(1) if x < y
(2) if x ≤ y
(3) if x > y
(4) if x ≥ y
(5) if x = y or the relationship cannot be established.
(3) I.![](data:image/png;base64,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)
II.![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAH4AAAAdCAYAAABsQ9h8AAANYklEQVRoBe2aW4yV1RXHDyhgRLnFQFRMlNBSCAFq0CiXR33AIKVeUDFqMCFGTYCCthE1lAp90ASD0QdR9AEIQQIkCoGWlgAF5RIGEGS4lIvCgFyGuZ8zcy6r+a2Z/3afwxmGsQwPk1nJN3t/+7Ju/7XW3t+BhF0DNTQ0WDKZtNraWquvr/cdtNXV1WF3LpezdDpt2Ww2jMX9MFikc/nyZefNlHjQQhUVFXbhwgVDB4gWuXr3wTb+8+OPP1plZaXrJrmZTMalyh+8oOulS5d8HH9BVVVV3mIPe/TOPnxmOfvl8ZWNr3DX05DLWiaX9aV565v2wiuVSlldXZ1zgC/yL1682MTxyiZx5VD+SE1NjfFAMHRlzQywYsIonKJ55gRevK65PvtxcEw4UfwwCkNkDDpda2DFPFvbxwaByF7sxtHYSp+5n3/+2dlKH/mGd+zCDvbwziN/+qYWgAf0+mzG0tmMOfTR+mw6Y3U1te4j+VqyW7KzReBhEEfyyZMnbeTIkZZIJOyzzz7zSMM4GSmg2CdlrqbEuXPn3DlyLpELP0Uv2Q3vmOT4eKwt+2T72bNn8yqcdJKN6MyDr0S8x1WRcaoXhH1ePSIgtY8hZbuDbjkH3cFPZ8yyObNM1tL1Df7gc6oxpMDUu3gWti0Cj5MFCpG7bds254Hhjz32mGeg5plgHEV45JxCoYXvgE0JhM/p06ft/PnzvkQtGaJMV1WAv8YK+V3P90Ig4Y1slfyysjIXRwCUl5d7nz04njWaxxcCA5+GzGwB+LqGeg8ClgF8Q6reyPS45EsugYYeCkZVomL+aBF4bRK4GAAQgPLpp58aGavsZK2EXyvoyggyAYeKR1wONa7zUUEi3dq6BSiBhi7Ip5VespV3fKFgUeDiO62hesT9GEDZEWd8TSoZgOeczzSk80A/8d/jvk26CCeCQXLEN25bBJ4sJyNhQivGOGPLli3uBEUYjAGetVIkFlasr4vaiBEj/Pi4+eabbfPmze5oKU7kjh492uc5Ynbu3BmiuhjP6zmGvVOnTrUpU6bklWlkoNeQIUNcr5tuusm+//57P8vxh4Jj4MCBPt+9e3c7ceJE8N+pU6ca1Wwh45PphgA8GR8CJZ2xy5fK7d8b/xX8smfPHpcPBnEyFvNHi8CzKS6pgE82/vDDD7Zjx468qEIgj+hawMex77//fiiTy5Yts969eztv+FASJ0yYELLom2++seHDh/uREMuSzOvdPvDAA+7Yl156yZ2JvgBLQjz55JOhlK9Zs8buuusuF4/d+Gn+/PmhUqxevdr5AI4qF9UyANlY7Br3R2d82nIOPKCnGurD+pqKSjt8qNR+O/A3zo+KNHjwYCspKQmg6zgq5hMHXuVWJUpZrRYGMMYgsvDIkSP2zjvveHTBlP08zAEG1UDZKqHwiMek1O7du8OZjgz2k11PP/20byVyWcvlCiLoHn74YSNjxEMy2MuDnuijwOMYkWzZyB7G33jjDXcc+0RaS8v4ypUr7dlnn3UwxRPZ8g/rSI5HH33UfvrpJ2dD9h8/fjzIRRZ2TZ8+XWIaWwBPZyxVl3R+8IpLPcBT7hsy6V9u9dmcVZVfthnTptu2rf9xPgTjgQMH7IknnrjCnnyBjW8JDCk0miyTgZxJkM64jRs3htJC2eWyp7OsUACOgTdK4Sg9cqzWAyZrVZ6oAPPmzQsydRHi3Dp69KgtXrxYW11PSq6CgKArDOSwuKmDHMlauHCh93lnXwymjjiAf+aZZxx48cIG7BJRAT/88EPfjw4islvB9vbbb3sVwCe6w6STqcZbelPGw7eiqtKq6mo90+PLXXVtTTjjjx85aoMH/c4449ED3c+cOWP3339/+CyO9ZM+avNKPVn06quvWr9+/eyRRx4J36cHDx60559/3n/EwBkiDKDkiTCQhzUynsBR0LAOZTyqm27lCjo5HAPGjx9vpaWlzlby+IzEWVQaWoCGDw9E5hKIL7/8ssvDFsCgHCtwyMD4psuNe9q0aSFL4aOAUPCQAF999ZVXIHRUQtDykOlk82uvveZ6sE9rAEJEckyePNm+/fZbvxAzjl5ZPsmSKaupqvZMdd80lXqBTy0iLiqrq3wdn3GlBw7a74ePCJ9z7MMvw4YNs71797pY6SEd4taBxxn6JIAB59G4ceNcMRwPmNzgMVKZBaACC4bsl9MQKH6xMPqUbIFJq6jU+sOHD9srr7zi2xQ8rNm0aZP16tXLweUsQw/NE3ys2bdvn40ZMyYvGD/55JOggoJE+3j/6KOPwh2G7BTg+ERn8YoVKzyAdBSxD3nYuX379lAB7777bh+Dh/bSsp6gmzlzZvARweKUM/v7396z3j0bbeOSmOiU8Kd7zx7eTpv5Jys7d9bB152gZNdu69Ort9VWN/64Bi8weeihh7wKC4tgfEHHgccAnIEygMk5NXToUCPLILKSG7wyF0OUqeylLzABcO7cuV41yMBu3boFx/B+55132uzZs/2Mli4qhWTAqlWrfI4+zoU3MgAaYzZs2GB33HGHffHFF76dYJQuZNg999zjxwE6EmTfffedxLiOH3zwQdDn9ttv977aW265xebMmRMyVhvJ+Keeesp9I3vRh75058jji+Tzzz/3bfgK/UUcA5z7ED5mjgCpr62zykvleQAm61NWUVNt3Oh1ufOrABe8uqT/Wrd/T4mNGDbcyk6fcbsIMJ4BAwb4V4+wkvzCNoGDRMo6HHnfffe5opQPsk0lXeVOBmuvsoh3eLKvGDEuhygqGWPPkiVL7Ouvv87bxrh442z0ePzxx2358uWBDw5UoIwaNcq4+UN89klveMALh8AHIlgJUvaKFMBqGSfjuWxKb4HPHLzwF8+kSZMC8PrhhvmlS5fa+vXrJSIEiw+AKE+28dc3fMKrfrmjra1PWV0qmXerP1Z62MaMGm3nyhovveBCEtx7771eXeAtvwXBUSeBgYCIMTwQmc8lAcdxNvGpAnGxgrQOR6rPOLxwLK3GAZUxlMBxOEhz2oNzyMx169Y5f9Yji08fiM8eePJAZOX+/fu9z1oBguFjx4718ku282kIIQ9dRbzjKGx799133X7m4U/WMAcAApWAnDhxYggY9mNHTLxzbHD55XsdgtehQ4ds7dq1YSkBwZcM5EGZM5v9579Yty5dvfr06dPHEp07eYnv3LWLt3+d954DDzrcBYiM2soq++MfJto/N/wj8P7yyy/t9ddfD4Elf4UFUcdLPQbyYJCM5fPl448/Nm6igIaDIYwRyeHKJo2rjSOOtXI+clCKljECjHLbqVMnN75v375espAV82Atl7YZM2Z4RWE/j3RDLtUAwHXZigECUJHsIOMZj+VoDbypJosWLfKfp1Wh4ImfIPmAoHvhhRe01bPv2LFj1qNHD7fptttu85YffJCnKpOsrQvf5vDiAWAefqen5ZbvP940JdfF8xd8wd49JX6ZJYDh+eCDD/rlUbYFZYp0HHhFO/MAgiP55kTJtiZA4ocPzv/+/ft7S/+tt95yUHft2mW33nqrj3ft2tXPWgGgiJbzAYlb/KBBg5o9agrtWbBggfHVIhJv3rks8ZsB+vDLW8+ePf2TibmtW7daly5dgr5cSPXFgF7cQbgzsLdz587esv/NN98MGSnwJbuwBfSWiKORhEE/HSdKsDghCvkkcJqMjTOXknWjCMBERC9PTCqdjAlsshHCSGUf+yilRL/uDTGfYn3AUuDAW75gLe/x5yg8Ic/KXM7neMfB0oFsE79Cx1MpeNCdNpbljH/FH3hxrEk+fAvlFmMbMp5f42bNmuVR+9xzz/mPABjd1oTxilBkCVj6yFcJjtcxzkUUIDgn+S2d9xdffNE/6eT41uiO4xRM7EOnmI+ciWx01HuctTidfcyp3BKE9AUMvBmTXa3RsdjaQn/hJx70kg7F9iVkAJcQPkf48YYI4sy6UYSDURIg6fMICDkIQ3AYFAcBn558IvKo1AIAAaEMvZod8MQHMTDs1zuOhU8MpvgRbNJP6zQXA0IwoDN8WE+AYaN8rz2/plWwIg+eoli+xuLWP+fiDUzCTJ9I8eK26AtMeONwEc7CSegWjzPPOE6T4/TJxpwAE5/WtMiBN48IwORcgo81kkuLfppnD3rjdPbJh4Xz4v3/6CoeMXbIxp/w5blaxfZSj0HxjzX8Z4gbRWQBzsRZOAqnY0BMfF7KkYW/H/APExD7WAPpzqDfJXywhT8CLA4yOZUW3siIQRRLAoA5nI0v42xjb8yTPYADv8Jx8Wtti72SGfNEl+bIL3dMKlrihfFvzfH49e4jO3YowYAxjOO4ODPkZIGCLvyvHBwfG114QWxOZ3izN+bH2mL+YJx16EA2SS9a1scETx09AF24vlBevLc1ffwWV03kckzjw6uR/+uclNBlACXDb8lX230d5pAt0GhROA4C9QmE2Bj2EeX68QlV2K/AiIOgJTUlg3XsizOIOfFinHfkQDhcTpfurKWv6qPgkA7iVxjsmm9tK+zQgwonW9BDehfj6aW+2ETHWPv2QAfw7RvfZq3rAL5Z17TviQ7g2ze+zVrXAXyzrmnfEx3At298m7Xuf1z3P8cxY7TDAAAAAElFTkSuQmCC)
(1) if x < y
(2) if x ≤ y
(3) if x > y
(4) if x ≥ y
(5) if x = y or the relationship cannot be established.
Q-(4-8) Study the following table carefully to answer the questions that follow.
This Table shows the distribution of salaries of five persons.
निम्नलिखित प्रश्नों का उत्तर देने के लिए निम्नलिखित तालिका का ध्यानपूर्वक अध्ययन करें।![]()
यह तालिका पांच व्यक्तियों के वेतन वितरण को दर्शाती है।
(4) What is the per cent increase in the Salary of Aman in the year 2017 from the previous years?![]()
पिछले वर्षों की तुलना में वर्ष 2017 में अमन के वेतन में कितना प्रतिशत वृद्धि हुई है?
(1) 4.8%
(2) 3.5%
(3) 4.5%
(4) 3.2%
(5) None of these
(5) What is the total salary from all the persons together in the year 2015?
वर्ष 2015 में सभी व्यक्तियों को एक साथ कुल वेतन क्या है?
(1) 13100
(2) 13120
(3) 14150
(4) 15000
(5) None of these
(6) What is the average salary of all the persons together in the year 2014?
वर्ष 2014 में सभी व्यक्तियों का औसत वेतन एक साथ क्या है?
(1) 2178.33
(2) 2278.33
(3) 2472.66
(4) 2543.23
(5) None of these
(7) Salary of Pramod in the year 2018 forms approximately what per cent of the total Salary of his salary from all the years together?
वर्ष 2018 में प्रमोद का वेतन लगभग सभी वर्षों के वेतन का कुल प्रतिशत का कितना प्रतिशत है?
(1) 15.26%
(2) 18.27%
(3) 17.56%
(4) 19%
(5) None of these
(8) What is the respective ratio of total salary of Naimish in the years 2016 and 2019 together to the salary of Sangram from the same years?
वर्ष 2016 और 2019 में नैमिष के कुल वेतन का संबंधित अनुपात समान वर्षों में संग्राम के वेतन से क्या है?
(1) 4:5
(2) 3:5
(3) 2:3
(4) 1:7
(5) None of these
Q-(9-10) Find the wrong term in the given series.
दी गई श्रृंखला में गलत पद ज्ञात कीजिये।
(9) 9, 25, 57, 105, 168
(1) 25
(2) 9
(3) 57
(4) 105
(5) 168
(10) 1, 3, 10, 36, 152, 760, 4632
(1) 3
(2) 10
(3) 36
(4) 760
(5) 152
Answer Key-
Q-(1) Sol-(2)
x = 12, 10
y = 12, 14
x ≤ y
Q-(2) Sol-(4)
x = -8, -4
y = -8, -9
x ≥ y
Q-(3) Sol-(1)
x = 8, 7
y = 11, 12
x < y
Q-(4) Sol-(4)
Q-(5) Sol-(5)
2120+2090+2200+2040+2400+2300 = 13150
Q-(6) Sol-(2)
Q-(7) Sol-(2)
Salary of Pramod in 2018 = 2540
Total salary of Pramod = 13900
Required % =![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJ4AAAAwCAYAAADgk8PlAAAatElEQVR4Ae2cd9BX5ZXHX7BDMLqaXWNMbIgivQhxd91sNOtMYkyQ3gxFjca2GgsqGmOMY2b8J1Vnd5K1goiOUQEBa0xWFCnSLPT69vrr/Xd2Pue+38uV/fGCJrsC8z4z93fvfep5zvk+55zn3Ht/VdaZOjnwOXCg6nMYs3PITg7YXoFXLBYtl8tZuVx2NpVKJeMgJZNJP+/cudOy2axfUz+fz/s1P7RVam5u9ku1UxsyE4mEl6l+PB5XMx+H8dVva2trWNZ5cXBzoCLwABhAkMCZYhR40SkDIsCTTqetUCiERalUylpaWkJgZTIZL9OZG0AFYEmcq6ur/ZqxKKNPkgArcHpm589BzYGKwANAgE4ajhkCDPKlgQBVLBbzyXNNoj51amtrw3vyACftoklaD4ByjTajjoApLUkbgNfU1OTNo+CO9td5fXBxoCLw9gQJ4AGICJ1rDpI0ksBCXltbW6jFuEcbqpyzgEt/UQ1GO1JNTY3J3K5atcrzZI5p3wk8Z8lB/1MReNFZATK0ncCmMgAgUyygyiRShzw0GRqNBJjIAzzRevX19V5OvaiWU58yxZSrL2/Q+XNQc6Ai8BA6B0Lf0+QyW0B4xhln2OGHH+7Hm2++6aAAVALo5s2b7Wtf+5r16NHDqqqq7IEHHviEJsRM0zda7eKLL3YmCuBov2eeecaOPvpob7t161bXjlHAHtRc7yS+8q4W8HBEtRq8AhhorhtuuCEsf/HFFx0cH330UajlqDt//nzr0qWLHXHEEV7+pz/9ydsDOJlSrocPH26TJk2y7du3h8AEaOecc07o15122mlG+8506HCgosbT9ACfTB15+FqEULT7lAa64oor7Nprr1Uza2hosD/84Q+u0aQ1KdRmhDyOX/7yl/bYY4/Zd7/73dBsszGZOHGivfPOO6EPuG7dOgcn/XamQ4MDFYEnQGmKUfCRp/u6ujqvMmPGDLvlllv8GnBiPjHDmFgAFG0j3+29997zspdfftkuu+yycNOwbds2O/fcc62xsdHboXV37NhhQ4cOtU2bNnneX/sT9SXxQ6XZtdnhnoTrwI5dNGvB7Kt8X/SxoNUnfWEB5C+rLeUahzz8Wy1c0abNHffUZy7MAflxLzmRT6KMfOaltpq/xlL0gD6Up3lrHJ3pj7koUY++9ydVBJ4aQiSdQyQEwhwO7TKph2CmTp1qAIn6EHz55Ze7mT3++OOta9eudscdd3iXAIiEVnv66ae93yeeeMKmTJni4RT62rBhg2FaFZJhbCbTr18/W7p0qbf/W/zQZ5RJzIu5wjwJR+OQj0C0IPdVrnYdneGnAEE9+mSu8JYzAoUmQBmlc88+6YM6oi1aDnBQDlF5RcuZFweJMQRUaCHRXnnQQx3qswBUBxr3nIc33sfPXoHHgHTK4AzKocHok8Eoxze77rrrfBjKRYQYMW7cONd8b7/9ttehzZw5c0Lily9fbqNGjQr9uXfffdfOO+88N+cIgATz8AXfeustF4pn/hU/0ICwxFRoZX4kCQJhaS6qR7menuyrvCPyGJ/EmOqba+VTpnyu4SvlyIKNF2NDJ3U4JBfqCLTR9vRBvsqIJNAX84vWk+ZVHmNJA4oOzuKL8qCbsT9Nqgg8iNLE1BmTE0EKGBNz+93vfufMYDUo3KEzbennV7/6lV111VUubPzDZcuWebeYzoULF9qIESPCVY1WO+uss0LGQAvjnHLKKWE70fS3OMMwgY3+mAdjKlFOHszlYLXvq1xt93bWgqKc/iRI8Zgzi0Hjci0aBTLaRq+511yUr9govjFjRk21aENW1I+CPuqKUI8y6okm8qA5KmewAY0aW/3v7VwReEyAQ4lrBuKA6QzIqnvttdcMjRVd/doAwDSpZHy+2267zbv7+c9/7hoQH/CLX/yiX2OO8QfRdphjNN7HH3/s9Xft2uXab/Dgwca1hCTaPstZ4EJ7RYUhRop5mq/G0Nj7Klf9vZ3VHkFFQUj/+LZonmiKAl18BVRcKyF4yQyAkGhHHYGWPPUtOak940KXymlDe/qM0kgd8qGVvgEldTQn9bevc0XgRTthQtGJq0M2DY8++qjfskIgeMuWLX4PUVFi0XAffPCBEwdTJED6ZVd70UUXqVufBOZ5zZo1od9CTG/MmDFOh5gaNvgMF9LYNAVs0dVOnujjGmAyFw6Ayjz3Vb4/JDGuLAgCpF/xHUFCE3nUg0+MHaWbutChNowprcO1wCZwYjIFEuaCsiDBT+oKtOqTcvEFGqjHfVR+tIc2ypWi9Civ0rki8MQQGmhwNWYCf/7znz0+161bN99EoK0IFmM6BQyYRiK+d80114S7VPWjFbdgwQIPxWBOYQjtP/zwQ/vOd77jE2JSffv29ThepQWg/j7tGSEyHkmrm2vyYB6bG80dfuzJ3I7K94cW8Ym68AJ+IXzCVaJrz3GVHwUgQKGtZMZZfBLoBELKGEP9qFz04ksL9ORFQcQ4UX+PPuEJ+bThUP/qr6PzpwIepu7111+3I4880k0jAeKjjjrKr3/0ox/5OADoy1/+cliHUIkmjnnQNZW5XrRokX3zm9/8BI0I/JVXXglBTUCZJOF8ovJnuEGLjR492qZNm+ZCpwtpAK7nzVtgXbocZt2797BFi17xEeR5pFKZfZTvXv2VSGO/yKZRwENwMvfw7vrrr7fx4yfajh27vDk8hx/QN3PmzOBpUdcj7L777rdEPGNWxi/NWTa7+5U0GtIXG7LDDjvM5UMsVOCk/KmnnvJ8laM8iCawWSQRh+3evbvLkidTJNHJNb74q6++GoIRGqPl3qCDn4rAU31pLaFaGoAV9Xke0KdVjZnXyhV9CBaAIBAOUiIRAKKursEGDhxs3bp9wSZMmGTpdNaam3kzJgDE8uUrbWD/IVZf22Q1u+pt+Hn/aEv+e6kLuFw0W7l8tQ0ZNMy2bdlpzY1t9o0LLrSX5y/2ckBQyBUtm0lZqQgQdvvJhWLZ8oWS5Uplqll9Q5OfoQ0Nls9lrG+f3ta1qouNHDXeksmilwN4QHrP3XfZuDFjDRro9r6fPGi33DTTkvGSj10smeUKeSu3j3nPPff4po/+iSLgR69evdr5xoLv3bt3+DgT0KFAiC6QNm7c6KAltPXss8+6myMscOZ4+OGHva604KcBHQ0rAg9/ArCRtDOS2lVg1ws/px8mK+CJBO3EMFu5HE717hdRW1uD17eoSxnHI4/8h1111dVWKOwGR319o+e98/Z7FmtJuYCXLllhk8ZPsca6Vr/n+q033g4wVTJbtOA1u+O2u71+KW+WSeXNyiUrZlMOwGKRkFTJUumsZQplAzc6ausabFdNtZVBjZUs1txgry5+xS65ZJTXqatvMQALAm+84Tqb/cSTFm+OmRXMarY12aRxP3Q6mhpSDlL6bU22udbS5gxQw6uxY8d6kB+TiCtDSIWFKrniswMy5M5jUIL4lK1cudLdKngua/Xb3/5WbPczC19mlv73J1UE3p4N8QkAoPwcCP48D+iDKfiUmij0TZgwIWQkdRD4hg2b3CytXBm8YiWTtGDBQvv2ty9xEwWvOHburLZBg4bY5o3bXNipRNa2bt5hXx/2T7Z96y5bsWyVDRt6vrU0xSydzFlrc9zibSkbNGCorf9oUwBGt6VoIUIybBKIlQVaLlcya2yNh8BrbYtbKpP2sbZs3mhWzNnihYts8uQrLRFkG3XoZ9LE8fbtf7s4GKNo9sTv59h/PjzL78sls1Q6b8lsxooW+InMH3NLQlY8nsSMk6RU4B2gAZy/+c1vDHNMevLJJ92vZhETf+3Zs6eXUfeNN95wzUlbAL1+/Xpvw4+eZIUZHVxUBB6EoPVIUqXSMFFfqIN+/0+LYGQ06dkxJoLdr0wsmu6aa661WCzYwaHRSNXVtfbCCy/Z9743wu+pj2nesmWb9es3wMGUz5Ysmy5YW0vC+vcdZGtXf2irVq613mf3taaG1sC85c3Le/Xs7Sa4kAu0U6K1xdLxVisW0Lo43maZbN4AnrQdAASjyXTK+yrks2alvM2d84xrvFzRs71Oc1ODxWPNdm6vs23a5Kmu8R649yHLszcqmaVTJUNp0nciG4RSkBuKggWK4uDpEGEtuSXIWACEnw8++KBvACnn/swzzzR8a3x6eAqoyFfwH8YJC7SRUpIicMZ28FMReOoU84V6lVOKbY+qVAb5PA6YqRXHhLkWGGHoiBEjbdeuGrv22ustHuepBKu+6H6eTPDChYvdiWeuyWSwu1279gPr2bOXSxz/zaVeNjvz9F62bOlK27Gt2s447Syrq2kMyxrrW6xP7/72/oo15m5du8Z78P6f2vHHHesO/Be+cKwddviRVtXlcKvqeoQd0+M4u+7ff+zd54sFa2podB/PCllbMG++TZw43arrYmE56Mqk4/b+suXW/chu9tWTTrVUa8GSbWUHXjbYY9j2mh2u8eCHgIDCQJPdddddngcIpUQ4w6+1a9favHnzwjb4lGz68P3YSPKKG2nWrFkhONGCbD5uvvnmUDlRR2D2Bh38VAQeA8uZBM0gGwAqr4P+/l+KtBBgIiAkkSf60HT33/+Ag0+mFb+OJJ/uqadm22WXjTLqCniY49NOO8NqqxtcoJhRTOw5vfq4tsP369dnoFXvrDPMcCKWdu13+qk9bfX76wIw4uIUC5ZNxiyTRvsEPk8W37JdK6XzJff3HKMQ5VMIzPOsJ5+yKVOutgyuoplt28Eus2TJRKtdfcV0S7TE7Z+H/4v1P2ewq7iWpowlEwXLZIsWzyQsV979RAHecPz617/28JB20vCKQ7zjyRJhryho9IIu5HHNyxyLFy92Ht53333+apw06QsvvBD25RX246ci8GgnlcyLnMceG6xcdkKsggPhOOGEE3x6Ahs3Mi3f//5ltmTJu/bjH9/qdfCxMLeAr7Ex+OJtzpy5NmXKNNeEVAKQGzdutqFDh1lzY4tLvZgv2fqPNtiQQUNt6+ZtfgwdfF5Yzg52+9YdRt7G9Zu8TTKecODJxyuVAsADIq6aY8nQ3PpOt1gwK5WttaXJ0HjzX5pnY8ZOsniqaPFExsGXyybt7pkz7PXFi6yUy3tHd9/+U7v4whHBAollfBOCf9ccD75NQVkgQ0IemEslbRCwZtJ8P/vZz8JX3QQ+TLVMKZsRnlKRyJ88ebI/voT3vABy0003hRsPtO3+pIrAgyCpagiRn/dpt8z7Q8BnrcPqFY1iIrTybp98ug8++MhGjhztppZxCJ0ozZ37nI0bNyEMs2CCAebYsePtnbffdRClEml7/rk/2vSpV1guk/fjimlXhuWENl6ev9DGjh5njfVN3iabxu6V7Cd3zbBjjg7inUcf3c2quhzmpvao7sf6+ebb7nBQZXJZb+cIKuXtubnP2qjRE6y2ITC1lDc31dmA/r1t3aoVVszmvGo2XrQxIy+3XTuavT3Arm6osaLDOxD+ihUr7JFHHtGU/TEkfrCUCgVLlixxv02uCppQgKMeWpE3iOA1ZSSAxwaEsl/84hd2++23e77a+c0+fioCL9pGYQryFFpBxepe6lsrCeJ0LUIgEFBoNdGWemIA5bRRvyrXRCmjDvcwQKuKBaI6LAo5wfh1pNraeiNuN2PGndbSEnxM5AVmNnPmPTZ9+pV+u337Tj83NDQZ5nbMqCBelk5mrH/fAbZi2UrLpHD+zZYtXW4Txk30eFq8LWH9+uDfrQrKy+b+GsCTxvNG7dZUGwuFVUpls8bmJssDJitZzY6t9vijj9m48Zdbc1vKtRhxuVSyza66cor9YOI4K2TSVs6Zbd9YbRf96yVuZkFwLl90bQfwyuWiv16mzw6I4XF93HHHhaBiwvCfTxIAoxIyEE/ZFeP7sbtFdtKQPG/n/Ut4fsEFF/iLImovZaD7vZ0rAo/B6QBhkxA017onj4i6EoQxCQFJq4fyKMHca7dFHfoFVAIW90yGMgAtBnCOjk19xpIG5po2WhiYTQLGbChIhEl0DQAxp1VVvJjQ1U444UvW1ha3pqbgE03qL3p5sXWp6urHe+8u86AwZhcgIuRXFr0almNiS4WyAy+bzgXaax/Aw9fD7LITdQ6XzVavWmmTx4+xLlVVdvzf/YNVdT3KamrrPSBcV8vCyNvYkd+3I7t2sS8d9/d2wde/4ZjGUifiWZs46XKb9sOpVt2wy+bNCz5HwCU65phjwkAx8Tf4Cv8wk/CPJxjIEh4jc5SFZImJxa+TOwPwpEz4XIH+b701cGckc/ren1QReDQETNJ2dKoOowBkR0TiLG0FeJgEgWYBJ6qZqC/iKdekyFcIRwAGtLpmfDm8jEHiLECqH53x5aLuBn4eiY2EdraAc9Om4MUGzCwAJaUSSUdEJhUE0xKxuN+nkylra2m11ubAB4y1trl/5gHgslldTa3J1Hak8aT5oCibz/l4vhFR7K8QhEYojyVaLJUktMVuo2B5wi/EA2ua/dzUGGMv4wDesHV9aGrFI7lJkpWsjuQVVSDSaM6E9kea4rny4Lf60kIHzJLTnn2o3Z7nisAD6UpMAAAyCCuCQ8KNqmjqQ4AmpvZMUJoJ8HBAHPVgCuUCOG2ihGsVRcvpi8lr0tBDEp2UC1hoOa4VUmlX4K4NydMON+r7OQ048Ei9bNbcGPhumMNivmClQhBg801E2QwwkhcAzoJHZfvQeKlc8X/tav0RWwEftGRNzTHfgBDjK7tuzFtd3TZLxqClZLGmuIMulzaLxzJWao/5YWZrm2osHg/cCngBSCQvKQLmKJk489p/BB5uBVyuaQefkQ3XyEXBYmQuOWmcaJ97u64IPIFHqwEi77zzTncqpWGktdBsJ598sqtdfAlegQco6gOAPPTQQ+ED/+eeey5khIhCnaO2eV7I0wjaC1DUef7558P+cYZJWonQI2BKK8ts6vkrppQECAU+NBzaT6EUQEjoBRCi6XQAvsb6hgBYOGVls3hbzM+5TLAxQOMBvpYmdszYz459PDQe5jaRTFsilXSt6e0KWYu1tTjm65parVguWVNLvTU18gQCULZrvVTOYk0Jb5LHsvFsOpO2TDFlReqwu43sWoO57353DwAhv6gsART8EziRmxa36tGPNKUztP1pBf1JXgBxf1JF4NFQ6pTXdPjegTdRpk+f7ipV6KcM51Lp8ccft4EDB/qEZDbvvfdeDzJK25199tn20ksveRMmgdY86aSTfDXxBKJXr16hswvgGYMoOgmQ9+/fP/zUkRVKv1ppgB3GASIFjWViaQ/wOHgpgKQy3fP0wlO7tgNghYj2w8Si4RwZvGFC6KRsweYABz+TtbZWdpkdA0+PzdqH8Xau8dpNbUNjq2s8ygulAHDpdIul4vRN+MV8g4HGY/x4LO0k1TTusnimLdR4zEXfJAcTC7SXrnWOajrlATaBMKr9KJcWjWpN+qBeFKTqq9K5IvBYLXQQRS9BQl7QjA4W1XoMDHAIZ/ClGKAi4v2tb30r1E7kscU/9dRTwxXJa+98S6HEw+pLL73U21Ofh9t/+ctfvBiaeB2HMUgAUTRQJi1LGQADSDKjAiNntJ40nfxAaUJ2wphV+XFIFO0nvw/gcc0ZTad7gTBARcfAyxbN8jx0CBRoAGQLXiwAuABu07adRigFU5tKIY+0GSAsF6yMukRjtuXc1DJfdr9ou4bWOt/VwgtZACkBgITSkGkEKLqnPjyE52rnTG73vVnc0oDkC4xgRH4kslDfaru3c0XgqbIIoHO01Pjx472IQRmAgaJABLDEdUhMcvPmrfaVr3zFNRATxLzhG5x88in+mGbr1u02bNgwd+oZi3LeB+M1d0CLtuOdMoCs1cdbzueff74/d4RRJBgrcwsDAVdAQ1Cu8Ap5Ahhj4QMKeLr3cppFTKqHO9oBSL78PJ1dK5bKrgH9GlSEh5PiYKJbzCxnQOcvpQTF7huWPdhc8tAIdWKJuJWInVje8jlMWN6SiZh3zXPhTDLYVbjLkE5YKsPzX96+2W1WkZN41z5UqJUENPLhvxav/GxkS1uBSXigPvLkkLYEC5KHxuno3CHwQL8SftbVV1/9CaBRxmAQiPahXIMjyOXLVnm4orGh1YWcy/LmRLWdeMJJtmbNOluxfLUNGDDI6mqDaHsmje+Rsj59+tj777/vzxj5qwwmLmYwQX3qqDwxV6tQNB+IZwD16VIUxMGCcuRW7ER1KxYeUJkVgYdwowktQryHL/y1eqS+qUuQkc0BmwvMqAdky2Y11Q32LxdcaGPHTLQd22t8qW/csNXOOL2Xbd603dat/dj69xvswEun8tbagqou2oABA9z88vB6yJAhrtG0CDgLmGhiwCawQ7PAGKW/8/rA40CVHPcoaRIydl3vdPEZIh/loF2kWVSPtlzzIBkA/vGPL4bdLV26zE1rjx58URYEbb/61VNd8/E2SJ8+/dwXowGPugjwnn766a7t+OoMjaePu+VH8qkjIR9UvUCnBSGzEBLQeXFAcqCixoNSTKcSmmX27NnhK9AAAKEDQALNci6pz7cXs2fP8abyrXD0STySuvXW223WrKf9ftu2HTZ8+PnuC6LpOD788GN/+5WdE34ePqDATwiFzx/5NoCzwEZn0EjSovCbzp8DlgMVgYfWQJAccih5LVrv5MucYW7lXOLcA0bifTwNQHvhuOOzEbbgmembb75ll1xyqe8oyQOYo0ePtVWr1vjrSXDp97//L//Am40FCfPOTljmn/fE+MsMNCx0oPE4RIc04AHL8U7CnAMVTS0AUkK4aBre2Ro5cqTvHgGmNCLAROuR2GTceOONHifTe3DaYd5yy23Bu261wR8xUh+zys72Bz+Y6rtNXt4cMuQ83/FSDpj4dkBfoWFyeTVLXz1pcWghCIROTOfPAc2BihoPE6bP3BA2QWJ8Nx44y+dC2JhC8k888UQ/X3jhhaHPhX/IvwzwqSN15s6dGzICYEuTAmI9maB/drPEi6TBGIePT/iGlzcsuFaZ+mHzQ4r6nOFgnRcHJAcqAk/mCvDoGuoBi4RLvgROPSVpy6j/RZnibGoPeBQDFAjpM7pLVV+0B4DyJalHe9HGNe00hmjpPB+4HKgIvAOX3E7KDhUOdALvUJHkQTaPTuAdZAI7VMjtBN6hIsmDbB6dwDvIBHaokNsJvENFkgfZPP4HqXFbyv1fNqYAAAAASUVORK5CYII=)
Q-(8) Sol-(5)
Q-(9) Sol-(5)
Q-(10) Sol-(4)
0 comments:
Post a Comment
MAHENDRA GURU