ung dung cua dao ham giai cac bai toan trung hoc pho thong

... toán học. - Điểm trung bình X: Là tham số xác định giá trị trung bình cộng của dãy thống kê, được tính theo công thức: niii11X n xn Hình 1.1: Sơ đồ giai đoạn khám phá ... muốn nội dung của luận văn có thể làm tài liệu tham khảo cho các bạn đồng nghiệp. 2. Khuyến nghị Theo tôi,dạy học giải quyết vấn đề là rất cần thiết đối với dạy học và là một nội dung mới phù ... thường xuyên giáo viên Trung học phổ thông chu kì III (2004- 2007) Toán học. Nhà xuất bản Đại học Sư phạm, 2005. 12. Bùi Văn Nghị (Chủ biên), Nguyễn Thế Thạch, Nguyễn Tiến Trung, Dạy học theo...

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srKuvnmm3v06CFZiJDDwCOADvHruabJxFh5efmhQ4dM0ywsLExKSurTp09aWlorw1aWZe3fv/9vf/uby+Xq16/fVVddpes6q0Ko0gDgUpZogUCgpqbm2Wefra+vd7lcmqa9995777zzzt69e1tZXNDQ0LBu3boNGzYEAoFJkybl5ORQohFpAHApyQKNPXv2vPHGG4ZhDBkyZNq0aYZhvPbaaytXrjQMQ9d1J9ikGbFUdbt27VqyZMnRo0dTUlImTZrkdruDD7l2PnDwqIk0ALjgdF0vLy83TfOHH36QjdJut7uoqOjYsWONjY3BaWRZlqZptm3v2LHjT3/60+eff25Z1meffZaXlxceHh4eHh4WFqadpKrq1Vdf/ac//am8vJxII9IA4IKTVYsjR4789NNPH3nkkUAgoKqq1+vt1avXgAEDYmJilKBFIlKf2bb9/vvvf/rpp7ZtDx06tHfv3n6//8knn3S5XB999JFhGHLPxsbG+fPnf/311zk5OUVFRTxqIg0ALixVVXVdj4+PnzhxYmRkpMfj+frrr/fv3/+rX/3qtttuc7agOVut3W633+9/9913LctKTk6+/fbb5Q4yJxdconk8nuHDh0+fPt00zeeff55H3Z6x4hFAB4k05eTs18qVK7/66qt9+/ZdddVVY8eO9Xg8MtJommZlZaWu65Zl+f3+GTNmFBcXq6o6ceLE6dOny941uY/scnPaPNq2nZGRYRjGm2++uXDhQp42VRoAXMj3Mk2TvWgVFRWjR49+/vnnFy1aFB8fP2zYsNmzZxcVFdXX1y9atGjixImKosih1StWrEhISHjiiSfmzJmTkpKi67rEnvytcnLLWnV19fbt2xcsWHDLLbesXbuWR02VBuCC6+St/6Rn0vbt21944YUxY8b8/d//vWVZMTExXq/3o48+mjhxom3br732Wn5+vsyiKSfXMWZnZ2dmZiqKIp/Xdd00zdWrV9fV1UmqNTQ0fPHFF7W1tS+++GLfvn2Dv6PzAT0e28kNiTSgg+jkrf/kg1WrVi1duvSTTz559NFHDcNoamrSdX3gwIG5ubnLli3bvHmz7DlzRim9Xm95eblzB3nfdLlc48ePnzRpkuScoihTpkx57rnnhg4d+tVXXw0ZMkShx2N7vSGRBqAjkCZYjz76aGRkZF5e3nPPPdfQ0OD1eu+5555JkyZ169YtIiIiOjra7/dblqXruuxUS05Ozs7OlmFGJ5wCgYDTEFL+KjY29je/+c2CBQuGDRu2cePGK6+80vkStCtEGoCOwLZtj8fjdrtnzJixf/9+y7Kio6NvuOGGHj16pKSkHD16dMOGDZJnLpfLMAxpBTl69OiBAwe2pfD1eDySgiUlJbKnjT1qRBoAXMBUsywrLi5u8ODBw4YNk/WKhmFUVla+/fbbq1evrqysjIyM9Pv9sugxIyPj3nvv7du3b+t5JulVU1MjNVzXrl1lW5sEG4+9XWHFI4COQFJK0zRZuCh7ywKBwLZt21599dV33nmnqqqqR48eM2fOlCFK0zSfe+654cOHh4eHtx6TiqJ4vd7ly5crijJx4sScnByZ2qG1MVUaAFyw39A1TQ6XkQ8Mw3jvvfeWL1++fv366urqa665ZsaMGRMnTly4cKEUcPfee6+UcU7/xhdffHHdunUul+v999///vvvndHFmpqa/fv3P/TQQ/fee296erryc5bqgUgDgJ9HRh1lMNA0zffff//JJ58sKyuTeHvssceef/75sLCwU36hHGxtGMbTTz8tDbFs25bWxkJWlNChn0gDgItXohmG8cEHH8yZM6egoMDlcimKEh0d/fDDDz/22GMREREyVKhpmiwPcb7QsqympiYZtGx5+LWqqlL8KSdb+INIA4ALqLa2dsOGDa+//vrHH38sO8wMw7j55pv/5V/+ZdiwYU5bEJlFa/nlUqhJcSa55eyFcno/Mn9GpAHA2XCqJWdbtOSNrKSXfKqsrNy8efPOnTvXrFmTn58vm6YjIiKGDx8+cuTIoUOHjho1Smo1aQvi3C04maQ4k49b7t3+/2+ULt4qiTQAOFtSKpmmKUs5nNksmfQ6cODA/v37161bt2nTpu3btzc0NGialpCQcNlll02ZMmXIkCHXXnuty+VqOYoIIg0ALkGVJmsXJdhUVa2pqSkpKfnmm2+Ki4t37tx5+PDhHTt2BAIB27a7d+9++eWXX3vttf379x83bpzMfjkTYCDSAISY9tnNtll3vuArW/6VMwd2/Pjx48ePe73e48ePV1ZWFhYWlpaW+ny+8vLygwcPVlRUdOnSJTk5efLkydnZ2Xl5eT179uzevXtaWpqsaZRhSac3cbP7B3/sfOZcHg5ti9vPDYk0oINoP91snVPH5L1eZr9kaYZ83vlABhKlGWNZWdmxY8cKCgqKiooKCgoKCgqOHj1aWloqqSP9rtLS0oYMGdK7d++MjIxu3bpdf/31kZGRLX+klusSg9d6tPwzuFHI2XVMpm1xO7khkQbgguSraZpyKrRysrWH/KLd1NRUUVFx9OjR+vr64uJin89XWlrq9XorKiokzJzW+PJGFh8f369fv+zs7Nzc3Ozs7CuuuKJbt27R0dEKS+pBlQbgQpOkkerK6/WWlJRUV1dXVVWVl5cXFRXV1tZ6vd5jx45JpJ04ccLr9coXSoP8iIiI1NTU7OxsGVSMiYnp379/Xl5eWlpaZGSkYRg/6xd8EGkAQo8zMyTDesGDac7ad+X0cxJymSwRDJ5hkg+cgUTnGudjTdMKCwsNw/B6vTU1NVVVVVVVVaZpHjt2zDAMn88npVhjY2NJSUlxcbEc3SI/rSxiDAsLi4uLS01NTU5OzsrK6t69e0ZGhpzM2aNHD6fak58k+OxpZwATINKADsWZc1J+Oq/m5IfT5MnJJ2dmy8knZ4pLOkupqlpZWblz505VVU+cOHH48OGqqqrGxsYtW7YYhqFp2jfffCMLC2WdfbMsbPlJt9utKEqvXr369OkzYMCAwYMHx8TEjBgxQjnZdEqiN7gfVfBhZs6fwZvMACIN6GikYHKyzflPaYchnemd9X7Hjh07cuSItNJoaGjYvHmzXF9UVLRv3z658ptvvpHckqQMrpOkAYfzV7IDTKo3Z9rM5XK5XK5evXplZGTk5eV169bt8ssv79u3b2ZmZrP+UvKtnUx1spCpMhBpQCf19ddfFxYWHj58OBAISG5VVlbu27cvEAiYpul2u/fu3VtUVORc73R4Cq6lnFJPPi/FkMvlkgyTzzvjjc6fvXv3Tk5O7tWrV2pqakxMTF5eXkZGxoABA2Sho5OjEoHO93L6TjULYKdRCK8piDSgk7r++uvlA6eKclJKPnbmyRRFiYiIiIuLk11cmqalpqbquu52u91ud3x8fHh4uG3bOTk5kmrp6elSckVFRUVFRamqmpmZKZ/JzMyUAUPl5ACm/AxOXDk/nhNRzsih/K0zT9ZsHTwLQECkAZ1Xbm5uly5dunbt6tRPuq6npaU5I4EJCQmxsbFycUREREJCgjTq1XU9MzNT8iMqKiomJiYsLEzTtPT0dJn6ap2TVS3rqmYNFZvVXs32dbX8QoBIAzqpZ555RoJK0zS3221ZltvtTktLc2qgmJiY+Pj44ChyhvikYJJVIc7nmy304AmDSANwkcycOVNRFMuynHa9TjgpJ1dttOxNFbxmJHixhqySJ9JApAG4BJzlFUrQwnfl5BGXrbfIc9ZryEoN5aejiB0mzwzDcI6JCW72yP88RBqA9uuU3YFP14RQ+WlLX2dHmvLTzrxt/HZt/8Eu5g3lSqlfnfUpMtB67t+atsXt54ZEGtBB0M229Ss1TWtqapIFL87IqtRttC3uMG2L2fkBoFOQOcKCggJpqazr+ocffqjrOgOPHeoXu7bXfQA6QJXWaQU31nJaRLrd7qamprN+4G63W7YAnnG2MtQ16+3SrDYKvkb5aY/QZiPYwXeQDSTBw7/BWyed1m7OLK+zt1LI+ebOYHJTU5Oqqgw8Ah2EvLfidOSd8dNPP50yZYq8RQ4bNmzt2rWyOe/sbmia5osvvnjzzTcPGjSow/9KEbwd3mm6ppzcNe+0gAlOLKc3TXCzGCfbnIPLg69xPtA07dixY3v37g0LCwsEAnV1dd9//31wpJWUlOzbt08SURrcuJzFPwA6SZXWaefSpAi47rrrPB6PvPm+9dZbEktnsV1BbiglQsvWJyH3cFq/0qm6gk92dT5vmmazttfN/tPZKFJZWbl3716/368oyuHDhw8dOqTrellZ2YEDB2SaU1XVQ4cOHTlyxPlymfWUpT3NfmmTv5U2pIqiyF5MIg3oXJF2Ia5s/zd03mfj4uICgYC8RXbr1k3eLoNv8rNu6KwRbaUjZUg8nNavlNi2bbuwsNA0zcrKypqamrq6Op/PZ1mWz+c7ceKEZVlyBHlNTY3X621qavL5fFVVVYZh1NTU1NTUBGdn8DCmvC7NmovKd4yKikpKSpLxScuysrKygp9zZGRkQkKCjP26XK76+vrw8HAiDUCnEDzwJdNp59js35kHCh5ta1eatYBxcr1li+pml8mRrRUVFT6fr7a2VjLM5/MVFBRYluX1equrq+vq6rxer2VZtbW1FRUVwfcMvlXwE3a73RkZGfL8Y2JiEhMTFUUJDw+XZJJmoRkZGfITmqYp1zg51yzSunTpkpSU5LysYWFhzKUBQKeo3Z2wCe6CJoOuXq9XjmktKCgwDOPIkSM+n6+ystLn89XV1TU0NJSWllZXV/t8vuA1GsELPaSKyszM1HVdWomappmWlhYREWFZlnxGgkr6XCuKEhsbGxcXp6pqZGRkfHy8bK6QrqQSb87Gf6eHQCAQCJ4sc34vcc62JdIAoCPnmTOJGLz3rrKy8vDhw+Xl5dXV1aWlpYWFhcXFxZWVlUeOHDEM4/Dhwx6Px+/3O53VnBmy3NxcRVEkhJKSkuLi4hRFiY+Pj46Otm1bTmyQALMsKzk5OSoqyjTNhISEhIQEGUt0TmBoWdQ6p7E7eRZ8il7wlKfzDwm+QGKVSAOAjkmqHF3X6+rqjhw5UlRUVFxcXFJSUlpaKh9UVlZKBaYEHWgXFhbmcrmSkpISExPlBKK0tLTExMTY2NicnBxFUaKjo2NjYxMTE6ULdnR0dHx8vLOC0ckqSaZmqx+bLTMJrvacskxir9nFLUd3nbh1llwqdA8B0DEYhhH81ubUBMElSwdYZy9v685eLmdRu3RCcf6NlmXV1NT89a9//eabb9atW+cc/Rq8QEM+Y5pmbm5u3759c3Nzr7766pycnNzc3Ozs7GYlkdKGhZHOPZ2ICn74p6sjlZ+Ojp7y+lOuKT3l/Yk0oOP8Sn6prmwPN6ytrd20aVNBQcEXX3zR1NQUGRmZnJw8Y8aMAQMGyKr94OudIiB4OcNZf+uL2ePRGZcLfme3bbu+vv7w4cNSe33xxRc7duzYs2ePYRjyb/R4PLGxsSkpKUlJSfHx8ZmZmZdddll2dnbXrl3T09MzMzNPecR5KP6fQ6QBHUQn35e2Y8eOefPmpaWlvfnmm6Zpbtiw4aabbqqqqpo9e/Zll13mbPUNLgucP0Oux6MUarZt19TUHDx4MD8//9ChQxs3bty7d29RUZGzW27AgAG5ubmpqalpaWlZWVm5ubm5ublpaWlyannwSKAzxCfZL0cUheL/OUQagI6gtLT0yJEj0uPK4/GMGTPmD3/4w/PPP5+Tk/P73//+XBbrtxNO8SSbi4uLix988MHNmzfX1tYqimKaptvtDgQCuq7PmDFj1KhR48ePT09PDz7iVWlxpI6zbMSpWUN9bJZIA9ARjB8/vkePHtLdSmbRNm3a1KdPn27duilBK9dD9F8n6w9lIPHjjz9+5ZVXNm/eLEWVrKeIjIycOnXqpEmTbrnlFlk6H9yG6nRzVM3Wbig/naAi0gDg0oiOjh4wYICEmWEYhw4dWrVq1d133z106NBQjzQJLdM0a2tr58yZ8+qrrzrNfD0ez6BBg+64446pU6dmZWUFdxYOLs46DyINQEcgw3FO13nTpqsAABe5SURBVMG3335b1/WHH344JyfHCYDQ/dfV19cvWLDgpZdeqq6ulp1Ybrf7t7/97R133NGnTx8Zb2zWWUr56eHmRBoAhM57mcslu3GPHDkye/bsnJycXbt2JSQkVFdXx8bGhsoskaxmNE1Tyqzjx49v37598eLF69at2717t9vtzsvLe+SRRwYPHtyvX7/ExETp5OvxeILb2CuhP35IpAHo1OTN3efzrVq1Ki8v77e//W1CQsK3337r8XiuvPLK061Kb1cklhoaGtxut67ru3fvXrJkyeLFi/fs2VNXVxcfHz927NhbbrnlzjvvdHYxO+sSW86Edc6zMIk0AB2BYRimaa5YsaKqquruu+8uKSk5fvz4/v37s7OzlZ+zXvwSUlXV7/e73W5N03bt2vXCCy+sW7euvLxc1/XevXs/+uijI0aM6N+/v9/vDw8PDz45DEQagA4lEAh8+umnL7/8cm5u7s6dO2UILj09feDAgaGyMN1ZYf/555+/8cYby5cvr6+vz8zMvO6662688caZM2c6/Xlb39xNpAFAaJs3b97zzz/v8Xjy8/OdsyLvvvvu6OhoJWgrcftMMmdctLGxcfr06Z999pmiKJGRkbNmzXr88cfz8vKco59VVZWm9Z12toxIA9Dx/e53v5szZ47T9FYO+WxoaJClE0r7Hns0TdM0zYaGhvnz569du1bW38+fP3/69OmRkZHBm8bk38XLTaQB6NDvZS6XcyiJZIDf7/d4PM4K/nabZ/IDV1dXz50797//+7+lG/0LL7xw1113yfbqsLAwXl8iDehcOnnb4uBGGEpQ+yink2Fwa6h21bbYtu3a2tonn3zy7bfftixr9OjRzz777ODBg+UL3W6303efF5pIAzqLTt62uNlwXLOpJufKdtK2WJoOy04ywzD69etXXl7u8XjuueeeV155RXqFnHKA8bw/7ZB7oVu/jEgDgEvz+4dt242NjYsWLSopKVFV9a677po9e7Z02ecRnR3WzADAxeaswPzyyy/feOMNVVWHDRs2a9as7OxsyTMWNJ4dqjQAuOjFhKYZhvHhhx/Onz//+++/79mz55///OdevXoFAgFpiNUJ2zMSaQAQkizL2rx58yeffJKfnx8eHv7000/36NHD2XNGnp397wo8AgC4yEzT/Pzzz9evX2/b9hVXXDFt2jRZu8+TIdIAIPQibfHixWVlZampqbfffruqqrquh/qJ0kQaAHRGL7300o4dO6Kjox955JFZs2Y5za54MkQaAIRGZWYYhmEYpaWlc+fOtW17/PjxU6dOdbvdLpdLqjTZryZ/BgIBwzD8fn/nXNNvWZY8sRUrVrhcLpfL5Xa7d+/ebVnWjBkz5LyCX/3qV7Zt+/1+Ig0ALioZXVQU5d///d8DgUBGRsaNN97Yo0cP5wJnZb9k2x//+McHHnigoKCg064WkYaWY8aM2bNnj6Io999/f1ZWlmEYo0aNeuWVV7xe77x58wzD8Hg8RBoAXOw36EAgUF5evnDhQrfbPWbMmMGDBze7QHouy5HW+/fv37p166ZNmwzD6JxPTPqnhIWFyZmub7755l//+tfq6uq9e/fecccdXbp00XXd7XYHAoH/+xL+PwOAi+a+++6T8wGmTZs2aNCg4Ldjp+GkaZrl5eXr1q07fvz48uXLBw0adPnll3eqpyQzi8GNOp988sm+ffvec889//AP/3Dw4MGYmBi5QPnpngeqNKDjFAFtcd6vbP83dK483Z/ncsPWv6TZ3x44cGDDhg2KoiQnJ48YMSL4KBy5lWEYgUBAVdWlS5eOGzcuMzNz7dq1q1evrq+vl7mlTvJCB6+UkSvDwsKioqKmTJmi6/rf/va3+vp6p+u0YRjODanSgA6CbrZtufISti1WVXXNmjWNjY2qqj7xxBPR0dFShTj9HuVwHFVVS0tL//Ef/3Hnzp1hYWH/+7//u2XLlptuuql79+5ut7vztC2WCsy5YMWKFYcPH160aNF33303YsSIwsLCp556KiwszOVyyS8BckOqNAC4GDZv3rx69WrTNIcOHfrQQw9pJzkXyACabdu//vWvv/rqq5ycnJEjR3br1m3NmjWLFy+Weq5TPTHLsmzb3rdv39NPP/3UU09NnTrVsqyrrrqqd+/e77777gMPPPDWW29JCzHnS6jSAOACktPObNv+4YcfduzYoSjKXXfdFR4eLvkU/HZsGIau68eOHSsrK+vfv7/b7R45cuT69evfeeed7du3y6hjhz/S2jAMOc1VFojKBxEREbIeRJ7kL37xC+foO13XiTQAuBicsbWKior8/PzS0tLExMRJkyadstG+qqpNTU3Lli2zLGvevHlSo+zdu9fv92/btk3WPXbgJiMyWajrut/vd7vd8s/Udb13795z5sxx/tWapv3xj3883U0YeASAC8WZ48nPz9+9e7dhGNddd11WVtbp3tMNw/j222/HjBkj82oul+vqq6++8sorDx48uGPHjo5dojmF1+kmJtuCKg0ALqxAILB79+49e/ZYlnXnnXfKQseWl+m67vV6s7Kynn76admaZpqmz+dzuVzbtm175ZVX3nzzzQ6canLMt4y+SqKfTS7yfxuAzuncV1vIuGKzhlVOT30ZOTQMo6Cg4LvvvistLU1PT58yZUqzjvvOMvRAIPDaa689/vjjUrLINFJ8fPzMmTNvvfXW999/f8eOHYZhyLfrkG37p0yZcuDAAad/ivw2IC9TG/+9RBqATupcBrjkTVZmtpw9vy2TUuaH8vPzDxw4INNCSovtFlKXLFiwIDIyct68eVlZWS+88IJlWZZlnThx4oknnhg4cOCyZct0XR8yZMiYMWN0XZcmkB3s5TBNc9CgQcOGDbv99tuXLVtWV1cnSS/PsNlDPu1r2tlWhQKUJp1zX5rzgYzdqaoq67+Db/KzbigXP/PMM7feeuugQYOcgbLg76UoyosvvviXv/zlwIEDiqI88MADr7/+eiAQkKM+g2NPObl4LxAIWJYlFzgrJpwmGqZpys8v3bM60gstATZ8+PD8/HxN0/r16zdt2rTZs2c3NTW53W6pWVsfd2VfGoBOyjrpXIq8goKCnTt3Hjp0KHjsUeoJ27arqqqefvrpuXPnHjx4UNZ6rF+/fuPGjS1niWQPtfTgd/7TyS15Hw9OX9mR3cFeEZfLparqSy+9NGnSJEVRtm3b9oc//CE+Pv6+++575ZVXpH/KmW/C/9lAx9DKymYIGbJzgue55547l/3LmqYdPXp0w4YNdXV127Ztc/rBO2scqqqqli1b1tDQIAs9LMs6dOjQ3Llzr7rqqmbhKiEn02kul0uSzPm8FGrOz+m0guyQq/lN06ysrJT8Nk2zurp68eLFX3755eHDhxMTE1VVHT169LXXXnu6co2BR6CD4ADJMz4fJzmUkyOHkhxn9zYoN9R1XVoPOzeRezrl2v/1atI0588Oubjj3H/hcCpR5/AB53QCp07t16/fli1bnFeTKg0g0joj+a3f4/FIJWSaZlhYWGNj41k/OlkYIt0uggceZS2DU0s5h8U4b8oej6epqYlXpOXzNAzDmTCT+Nd13TCMsLAwWeqpqurIkSPlkbZ81WzbpkoDOs5bNg/hjBobG+Pj4+Wt89ixYwkJCWfdj8OyrFWrVv3Hf/zHxIkT/+7v/i41NfUn762qWlRU9Jvf/Objjz+WmsPlcoWFhS1atOiGG24IXh6C4P+Bd+/e/fLLL3/00Uc+n0/O+87Ozp46deq0adP69+8vvz3IapGWVZpt21RpQOeq0jr5isewsDC/3y8fJycnB7fk/7k31HV9/PjxmzdvHj16dGpqavAXyseZmZkPP/zw4sWLZW1Ienr6jTfeOG7cuNNWGJf6mIJLfkPbtpcsWbJmzZqGhgaXy9WjR4+bb775mmuuGTFiRFJSkpS5Tr17ynsSaQBwoQwZMkQWd4wdO/bWW28dMWKEYRjOQhI0q3oLCgree+89v98/ZMiQYcOG9e3bd9q0aeHh4c4o7hkRaQBwoRw7dszlciUkJIwbN+6+++6TmSFnbxma+c///M8BAwb0799/0KBB11xzTVxcnHJyIU8rlRmRBgAXw/fffx8IBHJycvr06SN55jTnRTOqqs6fP18WoErqO5vw5LkZhnHGOUgiDUCokiXy0nVC2oLIDjCnrYa8CbZ9Eui8cDaNWZZ1+PBhVVUzMzNlss15RzYMY+nSpUeOHDlw4EBRUdGMGTMmTpwYHR3dmZetShEmr12zKlaW8FClAejgb4J+v985DFp+wQ/elezxeCT2LnKqKSe7k/z444+2baenp3ft2jX4bzdu3Lh9+/Zf//rXMTExGzduHDFixMKFCx944AF2YpwjIg1AaFdpxcXF77zzTmZmZnx8fEREhG3blZWV5eXlZWVljz/+eGJiogxbnfV5JT+X1GeWZZWUlJSUlCQkJOTl5SUnJwdfs3DhwmPHjk2cOHHw4MFZWVm6ri9ZsuQXv/iFzB6BSAPQ6aiqWlJSMnfu3Nra2rFjx/bt2zciIkLTNK/X+8UXXzz22GPdunWbPHlyYmKi08Xj4gStoii6rpeVlVVVVaWkpHTt2rVZmt50001lZWXJycm2bdfW1qqqmpGRwWY1Ig1A59XQ0PBv//Zvr7/++nvvvXf11VcrJzeExcfHT5gw4c4773z11VejoqKmTJkig5M/K9XkABeJIpmTk7YjZyz1nLbF5eXlPp8vNTU1JSWl2cjnhAkTGhsbk5KS6urqvvrqq7y8vNtuuy08PJzX9BzRiR9AqCoqKnr99dd1Xb/mmmuUn+6YjoyMfPDBB7dv375y5cry8vKzKwGdo148Hk9DQ0NlZWWz0z5b+UIpFqurq5OTk6UaC75GBhi3b9++ZMmSTz755MEHH7zyyiuZSKNKA6A47+OX6spLdcM1a9ZISSTNqJp9Vf/+/RVF+eGHH7799tupU6cG31lqJufPU35rGavMz88/ceJEZGTkoUOHFi1atHTp0mbHoSlBG6eCP28YRmFhYVVVVVZWVnZ2drNvZFmWy+WKiYnp27fvzJkzX3/9dUVRfvnLX2ZkZPBCn8uVRBrQQXTChlhffvmlfNCswYR0nIqOjrYsa+vWrbt27Zo6dWpw76tmf56yIZacSeb1eo8ePZqUlLRq1aoVK1Y4FwdfqZ4U/EIcP368sLCwqakpMzMzLi6u2T9q7dq1W7dunTx58pVXXjlw4MA777xz7969SUlJ999//0V+2koH6...

... THAM KHẢO 26 www.VNMATH.comSỞ GIÁO DỤC VÀ ðÀO TẠO BẮC NINH TRƯỜNG TRUNG HỌC PHỔ THÔNG YÊN PHONG SỐ 2 NGUYỄN VĂN XÁ ðỀ TÀI ỨNG DỤNG ðẠO HÀM ðỂ GIẢI TOÁN TRUNG ... SỞ GIÁO DỤC VÀ ðÀO TẠO BẮC NINH TRƯỜNG TRUNG HỌC PHỔ THÔNG YÊN PHONG SỐ 2 NGUYỄN VĂN XÁ ðỀ TÀI ỨNG DỤNG ðẠO HÀM ðỂ GIẢI TOÁN TRUNG HỌC PHỔ THÔNG (BỘ MÔN TOÁN) ... www.VNMATH.comNguyễn Văn Xá – Tổ Toán – Trường THPT Yên Phong số 2 – Bắc Ninh 3 PHẦN MỘT MỞ ðẦU 1. LÍ DO CHỌN ðỀ TÀI ðạo hàm là một nội dung quan trọng của toán học bậc THPT. Nó vừa là...

... nội dung của chương trình học. Do sự hạn chế về thời gian cũng như kinh nghiệm giảng dạy và nghiên cứu, trong sáng kiến này không thể tránh khỏi thiếu sót. Tôi rất mong sự góp ý, bổ sung của ... hợp thường xuất hiện trong các đề thi tuyển sinh vào Đại học và Cao đẳng khá nhiều. Trong nội dung này có một số bài toán ứng dụng tích phân để giải quyết. Tuy nhiên, tích phân được học ở ... nghiên cứu lý luận, điều tra quan sát thực tiễn, thực nghiệm sư phạm. Trên cơ sở phân tích kỹ nội dung chương trình của Bộ giáo dục và Đào tạo, cấu trúc đề thi tuyển vào Đại học và Cao đẳng của...

... thông qua dạy học nội dung ứng dụng bất đẳng thức trong chương trình toán trung học phổ thông. - Thiết kế tài liệu tự học nội dung bất đẳng thức trong chương trình toán trung học phổ thông. ... dạy học nội dung bất đẳng thức trong chương trình toán trung học phổ thông. 5. Câu hỏi nghiên cứu Các biện pháp nào rèn luyện năng lực tự học cho học sinh, thông qua dạy học nội dung bất đẳng ... LUYỆN NĂNG LỰC TỰ HỌC CHO HỌC SINH THÔNG QUA DẠY HỌC NỘI DUNG BẤT ĐẲNG THỨC TRONG CHƢƠNG TRÌNH TOÁN TRUNG HỌC PHỔ THÔNG 2.1. Nội dung bất đẳng thức ở trƣờng THPT 2.1.1. Khái niệm BĐT 2.1.2....

... đạo hàm một cách phù hợp. Thứ hai: Trên bình diện nội dung dạy học, những nội dung dạy học là giá mang hoạt động liên hệ với những nội dung nhất định để người học kiến tạo tri thức nhất định ... tuệ phổ biến trong toán học, những hoạt động trí tuệ chung và hoạt động ngôn ngữ. Hoạt động của học sinh liên hệ mật thiết với mục tiêu nội dung và phương pháp dạy học. Chính vì vậy mà vai trò ... Phương pháp thực nghiệm . 5. Cấu trúc của khóa luận Ngoài phần mở đầu, kết luận, tài liệu tham khảo…nội dung của khóa luận gồm 3 chương: 40 + Tiếp tuyến tạo với chiều dương trục Ox góc...

...     x -∞ 0 2 +∞ F’(x) + - + F(x) 35 Ycbt :  y=5 cắt (Cm) tại trung điểm AB. M là trung điểm AB có tọa độ 12; 2 12xxmx m    1;3 1Mm   5 3 1 ... đôi khi làm khó các em học sinh trong quá trình tƣ duy tìm trƣờng hợp, nhất là các em học sinh trung bình. Phƣơng pháp xét dấu trình bày trên đây vừa ngắn gọn rõ ràng lại không bỏ sót trƣờng ... đoạn này. Vì 2ba là giá trị có thể rút ra dễ dàng từ phƣơng trình gốc nên ta chọn giá trị trung bình này làm điều kiện. Nút thắt thứ 3 đƣợc gỡ bỏ. - Lời khuyên đó là: khi gặp những dạng...

... (3) có 2 nghiệm phân biệt.Các bạn có thể tham khảo thêm tại: http://toanthpt.net/forums/showthread.php?t=13598Nguyễn Tất Thu - Trường THPT Lê Hồng Phong - Biên Hòa - Đồng NaiXét hàm số với ... không chứa tham số nên ta sẽ giải quyết (2) trướcTa có: . Thay vào (1) ta được: (3).Hệ có nghiệm có nghiệm . Xét hàm số f(y) vớiỨng dụng đạo hàm trong các bài toán tham sốCHỨA THAM SỐ Khi ... quan đến tham số. Có lẽ đây là dạng toán mà nhiều học sinh lúng túng nhất. Trong chương này chúng ta sẽ đi nghiên cứu mộtsố dạng toán mà chúng ta thương hay gặp (như xác định tham số để phương...

... đạo hàm trong các bài toán chứa tham sốKhi giải các bài toán về phương trình, bất phương trình, hệ phương trình ta thường hay gặp các bài toán liên quan đến tham số. Có lẽ đây là dạng toán mà ... (như xác định tham số để phương trình có nghiệm, có k nghiệm, nghiệm đúng với mọi x thuộc tập D nào đó… ) và phương pháp giải các dạng toán đó. Bài toán 1: Tìm điều kiện của tham số để phương ... Ví dụ 5: Tìm m để hệ phương trình sau có nghiệm:.Giải:Ta thấy (2) là phương trình không chứa tham số nên ta sẽ giải quyết (2) trướcTa có: . Thay vào (1) ta được: (3).Hệ có nghiệm có nghiệm...

... f(x) nghịch biến/[a, b] thì [ ]ba,xMinf(x) = f(b) ; [ ]ba,xMaxf(x) = f(a)Tìm điều kiện tham số để hàm số đơn điệuBài 1Tìm m để y = 2x2-x6mx2++ nghịch biến / [1, +)Cách 1: ph...

... Cho phương trình + − − − + + =6 5 4 3 23 6 ax 6 3 1 0x x x x x. Tìm tất cả các giá trị của tham số a, để phương trình có đúng 2 nghiệm phân biệt. (HSG Nam Định 2004)Giải: Vì 0x =khơng phải...

... Vuihoc24h.vn GIÁO TRÌNH TOÁN CAO CẤP A1 Sýu tầm by hoangly85 IX. ÐÝỜNG CONG THEO THAM SỐ VÀ ÐÝỜNG CONG TRONG TOẠ ÐỘ CỰC 1 .Ðýờng cong theo tham số Phýõng trình tham số của ... L’Hospitale Vuihoc24h.vn GIÁO TRÌNH TOÁN CAO CẤP A1 Sýu tầm by hoangly85 Hàm số f(x) là lồi Hàm số f(x) là lõm Về mặt hình học, hàm số f(x) là lồi trên 1 khoảng nghĩa là mọi cung AB của ... hàm: Trong ðó t là tham số chạy trên một tập D R. Khi t thay ðổi ðiểm M( x(t),y(t) ) vạch nên một ðýờng cong trong mặt phẳng Oxy. Ví dụ: ellipse có phýõng trình tham số là: 9; Ðể khảo...

... DỤNG ĐẠO HÀM VÀO CÁC BÀI TOÁN CHỨA THAM SỐKhi giải các bài toán về phương trình, bất phương trình, hệ phương trình ta thường hay gặp các bài toán liên quan đến tham số. Có lẽ đây là dạng toán mà ... (như xác định tham số để phương trình có nghiệm, có k nghiệm, nghiệm đúng với mọi x thuộc tập D nào đó… ) và phương pháp giải các dạng toán đó.Bài toán: Tìm điều kiện của tham số để phương ... phương trình có nghiệm Chú ý : Khi gặp hệ phương trình trong đó một phương trình của hệ không chứa tham số thì ta sẽ đi giải quyết phương trình này trước. Từ phương trình này ta sẽ tìm được tập nghiệm...

... củng cố các bước khảo sát và vẽ đồ thị hàm số; HS nắm vững cách giải của bài toán biện luận theo tham số số nghiệm của pt, cách vẽ đồ thị hàm trị tuyệt đối. - Kĩ năng: vẽ và đọc đồ thị; biện luận...