概率論與數理統計(山東聯盟-中國石油大學(華東))知到智慧樹期末考試答案題庫2025年中國石油大學(華東)_第1頁
概率論與數理統計(山東聯盟-中國石油大學(華東))知到智慧樹期末考試答案題庫2025年中國石油大學(華東)_第2頁
概率論與數理統計(山東聯盟-中國石油大學(華東))知到智慧樹期末考試答案題庫2025年中國石油大學(華東)_第3頁
概率論與數理統計(山東聯盟-中國石油大學(華東))知到智慧樹期末考試答案題庫2025年中國石油大學(華東)_第4頁
概率論與數理統計(山東聯盟-中國石油大學(華東))知到智慧樹期末考試答案題庫2025年中國石油大學(華東)_第5頁
已閱讀5頁,還剩40頁未讀 繼續免費閱讀

下載本文檔

版權說明:本文檔由用戶提供并上傳,收益歸屬內容提供方,若內容存在侵權,請進行舉報或認領

文檔簡介

概率論與數理統計(山東聯盟-中國石油大學(華東))知到智慧樹期末考試答案題庫2025年中國石油大學(華東)隨機變量的數學期望刻畫了隨機變量取值的平均情況,所以,隨機變量的數學期望一定存在。

答案:錯隨機變量X與Y的協方差是X和Y的二階混合原點矩。

答案:錯隨機變量X,Y都服從正態分布,則X+Y一定服從正態分布。

答案:錯連續型隨機變量的概率密度一定是連續的。

答案:錯進行區間估計時,構造的樣本的函數,除了包含待估計的未知參數,還可以包含其他未知參數。

答案:錯辛欽大數定律的條件中,要求隨機變量X1,X2,…,Xn,…,獨立同分布。

答案:對設隨機變量X服從參數為10和0.5的二項分布,X~B(10,0.5),則X的取值只有10種可能。

答案:錯設隨機變量X服從[0,1]上的均勻分布,則X的概率密度函數是常數1。

答案:錯設隨機變量X1,X2,…,Xn,…獨立同分布,當n充分大時,X1+X2+…+Xn近似服從正態分布。

答案:錯設隨機變量X1,X2,…,Xn,…,相互獨立且都服從參數為3的泊松分布,則前n個隨機變量的算術平均值依概率收斂到3。

答案:對設樣本空間為{1,2,…,10},事件

A={1,3,5,7,9},事件B={2,4,6,8,10},事件C={6,7,8,9,10},則=(

).

答案:{1,2,3,4,5}設某工廠生產的產品中,36%為一等品,54%為二等品、10%為三等品,從該廠生產的產品中任取一件,已知它不是三等品,則它是一等品的概率為

答案:2/5設EX=1,DX=4,則由切比雪夫不等式由P(-5答案:8/9設A為隨機事件,P(A)=0,則A一定是不可能事件。

答案:錯設(X,Y)服從二維正態分布,X,Y的相關系數為0,則X,Y一定相互獨立。

答案:對若隨機變量X與Y的協方差為0,則X與Y的相關系數為0。

答案:對簡單隨機樣本的樣本均值和樣本方差不一定獨立。

答案:錯離散型隨機變量的取值只有有限個。

答案:錯離散型隨機變量的分布函數一定是連續的。

答案:錯矩估計的思想是“用樣本矩估計對應的總體矩”。

答案:對正態總體的方差未知時,對總體均值的區間估計采用的樣本函數服從t分布。

答案:對正態總體的方差已知時,對總體均值的區間估計采用的樣本函數服從正態分布。

答案:對正態總體方差的區間估計采用的樣本函數服從t分布。

答案:錯根據切比雪夫不等式,隨機變量的取值以不小于8/9的概率落在以均值為中心,以3倍的均方差為半徑的鄰域內。

答案:對標準正態分布的概率密度函數是偶函數。

答案:對已知工廠A、B生產產品的次品率分別為1%和2%,現從由A、B的產品分別占60%和40%的一批產品中隨機抽取一件,發現是次品,則:該產品是A工廠的概率為

答案:3/7對于隨機變量X,Y,如果EX,EY,E(XY)都存在,則一定滿足E(XY)=EX·EY.

答案:錯在抽簽模型中,第一個人和最后一個人抽中的概率相等。

答案:對在對一元線性回歸模型的回歸方程進行顯著性檢驗時,使用的統計假設是

答案:錯在回歸方程的顯著性檢驗時,衡量n次觀測值的總變差的平方和為

答案:錯古典概型(等可能概型)的樣本空間中樣本點只有有限個。

答案:對假設一元線性回歸方程檢驗顯著,在利用回歸方程預測時,在任何點處預測的精度都相同.

答案:錯使用F檢驗對一元線性回歸方程進行顯著性檢驗過程中,計算回歸平方和時,為了計算簡單常采用的計算公式為

答案:對使用F檢驗對一元線性回歸方程進行顯著性檢驗時,采用的F統計量為

答案:對任意投擲四顆均勻的骰子,則四個骰子出現的點數全不相同的事件的概率等于(

).

答案:5/18二項分布的極限分布是正態分布。

答案:對兩個隨機事件相互獨立且互斥,則至少有一個事件的概率為0。

答案:對兩個隨機事件互不相容,則一定相互獨立。

答案:錯兩個相互獨立的卡方分布的和不一定仍然服從卡方分布。

答案:錯一盒產品中有a只正品,b只次品,有放回地任取兩次,第二次取到正品的概率為

答案:一盒產品中有a只正品,b只次品,有放回地任取兩次,第二次取到正品的概率為一個袋子中有5只黑球3只白球,從袋中任取兩只球,則:“取到的兩只球同色”

的概率為

答案:13/28data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAisAAAB2CAYAAAAJIdMoAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAACpKSURBVHhe7Z37byTF2e8fnz+Aa6SIVZQlYCNlY4TELdKYBJFXCYwtIXMICwkoG4mcmXCRvElYIOCIH1iuTsg4CpfxAYlF4pIF3rOK5BkueUECbAkCCBRjpJ0BQYKCXmW5Rnp/ndPfnn7GNeXqy8z0jHs838+q1t3V3XV5quqppy7dM9bwEEIIIYSQjPK/gr+EEEIIIZmExgohhBBCMg2NFUIIIYRkGhorhBBCCMk0NFYIIYQQkmlorBBCMk5dFotTMlasBueEkFGDry4TQjJMVYpTh2T2QFny44EXIWTkoLFCCMks9cUp2SMHZGWOlgohowyXgQghhBCSaWisEEIIISTT0FghhGSWD9c/lo/XPwzOskm9WpSpqTEZm1qUeuC3tdSlig3JY16aPDdVrGYkXWlTb8qeG69HAhorhJAM0/D+bQFeJ5i0DxzPl2VlviAyeYpkYWdNtTgh0zIvtYYnu0ZNdntnexa3l7lSLcI4XJDlQ2uyGviR7Q2NFUJIZtm5a4fs2LUzOMsu1UNLUpjNB2dbSVUOLeWktC8fGE7jMrevJLJ3wbvSLXWpLi728Hw3RMeZL3uG2EpZZnYFHmTbQ2OFEEJ6oi6H13KyayI43Urqh2VNJuUUc4pn/BTPZ00Odzq5Um8uJ00Vl0Vm5mQgpthWxEmGAhorhJDhpI5vsOi+jEUptu3NqMuif21KFvW+fu0pqS/LQc8cWF9o7hPZ0j0UtfWQZZFVWa8Fh3F48losFqW4UJOJfSuyUvaMhtj1rR7l3VWcZJSgsUIIGUK8DnFiWmS+5u/LmJe9suT5av9WXVyWmZWGNCqTsncCH5VrSGVyb3/2bsBAWF2TXbMHmntE1qYT73fJFDAyilPiT2qUy1Iu52U8ocHQtbx7iJOMFjRWCCFDR7U4LWulmpT94fe4TOzKbewZqS7K4Zk533CpH16TXGmfP0qfmK3IAdfH5apFf0akzU0vydK05efPGgTPGPj7VSorMhek5ZTJpv/Q4M+ENA2GfeUVKc/pfpeEdCpv0GucZOSgsUIIySzuV5ebm0h3z2j3Vpflg5PS2t+an5NmHwl/ad03ng/pEPNlwYe821yl4Bkgll/DM0g2BYC0FDbiDtKWif0rbfQxTZ3Km5AuGAlj5ayzzpJKpRKcpcvNN98sr7zySnC2fbjsssvkk08+Cc42ePvtt+Xuu+8OzqKBXJLe2w1XX311auVaLpdTC+v999/30wZZpQHq7xNPPBGcjRY7d50gJ9hvA2ETaW63bNgqy3JwclbynqGwuIhvb1SxT7PpL3pf3bvWh7UZPy27pGUHVA/Jkpm2QZOflYK9mda16dZkPC/llRUpz4gsYEnGk1Mni2VdybvHOLMKdB7aPnSAzQUXXNC1TogKd1RIzVhBp20XBM5RQOiw1OEcHUOvIJykRsLrr78uRx11VHAWjqtzjmP37t3yne98JzQtUZ0MKp8pG5eD0YC/gwR5+dOf/iQfffRR4LPBs88+K3feeWfiRvfFF18ER80y03yNj4/7YaAuqB9cJx3zddddJzMzM860hJUl/F3XfvjDH4aG1SknnXSSfPe735Xzzjsv8GknrK6oPGxQf005Eo/VdfH3i2I5Yc9e8acNqodFZmqyML1flr1L1YW9rc2m9So2RfTh3RK8adNKy6JMTa9JYb65JLI15GW2sCp7F7Tz94wGyAdLM/55BDAgsCTjGRDL2OyKDcuxFkS1N3l3FWe2uf/++30dYAPdedppp/nHaOud9jcI9+ijjw7O+g90Efr1rJDaDxlCAV944YW+YjULCmu9ZhTosM444wy57bbbAp8NEMYf//hHOf300/3zJ598Un71q1/5HbYJrMszzzxTarWaHH/88S0/VwUBSMPLL78s55xzTuDTHK1ecsklwVmzU33uuefkmWeeaYWpYMS9trYWnG0GnfdVV121qSK9+eabfqePa/fdd1/guwFkMT8/35YuG3Tg4Prrr/f/DgIYC3//+9+dcarckqQH5bm6utq616wLCMeUNfKZy+WcskCjCeusl5aWpFAoBGcboO4gDlvuyNtLL70kJ554YuCzwQ033CB33XVXcNYO4nn66adbykax65EJ6sWNN94YnDXROvH4449vqtcAcnjhhRfk0UcfbcnGVX9HhbAfMoT/xF6va8wVpHJgl+yf8DrKQkUa5XxwTaRQmpfZ9f0yveQdV7wOsRNbBR+Fk3KiZ8y0lA6UN5aKsBfGixzLSR3F3TN4/XePl++m6ZDz5HIAG1f9sw7Aa8QLe2S/7Jb5feFv56QibyVhnDBSq56FePjQtOxd8+rA/KzIxIR3f/DAgGQPg+Ohhx4KzkQ++OAD36hw6RFTv0A3nHzyyc7+xgV0KQbFKXXXidiKvicSGCtp4Qm/sby8HJw1GkeOHIFkg7Mm559/fsMrsOCsHU8h+9cVPPvee+/5xwgXz8F5nX/DM1Za53DHHntsw+sA/HttEA7CRnoUO10IA2G6wHPms4qGC/DXDjMO5BV5MfNhuyh59YubbrrJmV+UBeRsX3PdCyATM+2mfMxyBjhXWdpoHbC59NJL/bR2gisehG/7vfXWW618oV4hLvjZ2GX+wAMP+M4Ez0EOYXKyQTtSueGZTuvVdqJWyjVypVpwNkAqhYbX0aVArVGpbEH6U8XLQ6nUSEUciYmLs9bwBqvtLriywWBkb+qnqH6gl3YcFW6YfuwV6LwkfQ90VFLd1gup7lnByHN6ejo4E3n33Xf9GZBuwGwGZiT++c9/+ssl3/72t+XKK6/0rTzMojz44IP+sbpPP/20baRqLi+Axx57zJ/JQFhhhFm48NdrsHCjlimQtmFdV4T8MO33xhtv+KMFyA4zB5rf559/Xo477rjWNTjcP+GNaMzlE5U9ZI5ZAoShyxv6nAL/JHtFcJ85barP/PKXv/T/Ih16Hel1lTP8X3vtNfnmN78Z+DTDwYwc0qpTnsgLlnDuuece/xyzTHjWnlVxgdk13G/y73//25/pQR1CGuOWmh5++GHxjCr/GG0oijTqWj3x10mbe0JGgnyyWZVY6t7wf6LjOY2MMS75uUF/oC0uznF/KbnNBVdaDEj2YTP63aA6VfWkOugnvW67H/zgBy3dlSaff/65r79dcZoO/Spcp8taHRMYLX0Bo17bMjNnCmyLDNajjrjxrI5kMeOhsybmPVFouPiLbNojZzvrSFOScHEPRr52uKbli7DgzLy5CButm2BGSe9BeJFheqNBpKHldGjY5p9rhA1UkTdbTvBT2aMcbCse98PfTJceqxwUxK+orPEXYbriNsFsBWZ1AORhzqggfbiG53EN6TFn+FxoPpAm3IswtM4hLDPdUejzmlfMlCEveq5+OluCtCF8s9whL/N+05nPuhzCU1lGUis1Cjmv/HOlthForVQIrQ9OEM4AZzq2bGYlFWqNUmmw8xFE2RrZaz/gaqum/gsD97nas4brIk53dgvCjdOjcdS8vifn0DvdEC+9GNCJaGFAqeoUODoD7dRN0CFA6OrMgoHA9RxKWkGYUO4IS5WzxgkHP+1QbSBsxGMXpl3wCMdMiwuEhbg0T2a4dmVCepB/M96oTimJQ9xm/G68RupVDlvBVzylX4iZEkX+bTmpH/JjL28AXAuTm71MY8pHn4GMAM7jpjMRHvKOZxAu0gQ/lQnqCOQULZ9mmnEfMNOE8kXY+KthaP0OCxPPm9fMsJUoGSlheUc+zbZgg3DjFUqzTqD8KwXUA/X2DI8u1joqhcLAlgT+ctFXG1+96C/BGSHZBm3d1CkmYf4m0B0uXREVLu7H9bRJLVwMllNYU42XXgxQsqqsIUxkDudJZg1s8KwWlNnJKeg4oJjtziBKqFD0SBfSYxo0dsGHVRIFeUJHZuZJ8wvw1w4T8cHP7EziOuQ0wGi0zZKtVRpJlm5dcoQf0u8qD2CWmQ3kBblrXTDlg2uQBa7pOQgzCkxUhggTcSd5RsEzOgsDkCY8j/whLA3blAPSCIPIhV3meK4bYyUMxGvWWxvIzUyrm0qjIDAwmvsAtCrAcOlq0sIzcgY12zHcMytk1EBbtHWCEuZvkiVjxdSTUcT1aZUCBkrBSQ/0vGcF63XmXg+87vrUU0/J7bff7r+q5Vrjwh6GuDW2r3/96/7+EOxVwL1YE8PrpXgF2V5Hq0e864Y3fMBPfvIT+d3vfud8AyMJ11xzjfNtEBe6doe4vI5OHnnkEf8cmOubyJOZD5fTvHfC+Mxuya0elGWIBbvmJR++qz4B//jHP/y3t7BvQ/evxIF9GV4l9t/swv6Piy++2PfXfOEa9r5gXVTP8Rd5DdtXpPUBMkT4OMZbM3hTCM9C7vCD3HGvC+wBueOOO/w3a7ScEOfU1JS/M1/L55133mnti0FdDtvPZIO3n+z6qevNnYL04e067LFBOC4gt1j8b3/gWyDNfQDNqlCVQ2tdfg9kfEZ2H+zlV3yTU1vXl2EJGR7M9q9umIB+/eyzz3zd5cqL6bwBlf/XTYo/8hkYLamA4GxLzDUqxGjQ5Y9nTasSo0qMhOGvI3scJ51ZwbMYFWu6MIKGtQjsrEfNrOAawoLDsTqEgZkbHOsMDo6Rbp26R5x4zoWdBmD72TJJCqxZKZQalQ4sWsSj+VFnj9zt87D0qUzwF6h8FC0PWOWQT9jMBcDMDspRZ6gQppa5LtOYMkd4KOewGQmdKcL9eA4O4ZkOz2vaw9B4TBCnKR+APJqza0lB3lQuCNc1iwKZInw3zeUf3KPOXALKOYc7+gxmXSrOfS6g61mZDkE95swKGRbQPk09ZxLmbwKdg3aOv6ZT/Wn7w7n0Qhvajr3nc16fgKXfuBYF3Yyw8TcOhBsaP/RMruDFmQvi736KJV56HeBKNBSuqUyhtCFcF3gWHYWCDgXPwx+CA3pPksJCAcPfTJcKH34mCMeMW8H9ZoHpsZ0vBfEknT5DGsx8wNl+yIMrXbFgY1PEZloXiMdOt+2HMtGlGwA5uNKnzyEPisocfqbsEAZkhr82kDc6bNPgQ/xIB8LHMcKCM9OBembnBeeIw2U8Ih5XeUaB8DROPG+Wm+2QTjWmkoJ6bRpcOIYM1Q/pteuxC9dSStjySmuZyN+UXfCXD10GQ/TULpadNgykKBdniKQ1hUzIIIBOQL12EeZvAl3h0qdR4aquddNsi839itiz5rW7lBsU0mX2kW34esTrh4L4m3vnmpc6JV56HYBEq9B0JAmFigJQIFhTAZuYyh+oooe/hmEeK67CgvC0UzXTBXDNHhEjTFclCcMMX4kb0du4Kp/tZ8skEcE3BzodlbrkaPvh2My3S24oe8gA95plpXlT+atxoLMidtxKaEPwcMlQCTM+EJ4dJuJGmmxDJixNAPm0DRDEqXVf0fy6jLEwID+XUY/4NM9IW1T+m7gVhNNYqZRaxq15vVbZPBILM3bSpPkmQe9vERAyKKLapO3v6iegf1z6LircMD0H7D4A7bZXWwXpM/VklA6yBxu9DD768ttA2Nfw5Zdf+sfYA4A9BfgeBPYRYH9J1L4RrNNjrwDCwLcp8FXTbsB+iF//+tfBWTuvvvqq/256FHHfr8Aehmuvvba1v0K/zYEvpnayL8Ze/7P9Ot7v4O9RaX5zID9bkNW96e4twP4J7OGIAl/7DZMB5Irvl+A69jahTmAPk+uLsgB7UMzvutgOuPzhPCPIuf8F+1bw3R7ds6KcffbZm/Yk4auRYd+BQT7xWX0T1Hfs8TG/pXL55Zf7+S0Wi4FPNEgX0v2HP/wh8Nng1ltvFc/w8Y/RxjyDxj8Opybrq+YP7UWQmR+kq8vi1JhMTK/J5PzMgOMmowDaGPaqQfd0+60ihGHrnKjvoZj+0Ac/+tGPNukn6J+k++MUcx9kOzE/+GkBPWemN8xBbujroOPC9gY2SflHPgOjJRUQHEbd9swHLD+MnsOWaxRc01E6wlHLE/4apnmMcHGOsM1wYfmZVivSZV7H6NS2au0ZAjsPYeA+pLWTGRXFtSxgF4mO1F3W9iZq3si4zWrVKcDgNIYkMys2yL+ZD6RXLX08Z8oReUN4yIveB9nhL+7TeEyrXcMKo5sqjHjMsgYuPxAVvqbdBa7pzAvqZyfgWVfdULQuQGauNLfhrxlvnp1wzYz4Myjwanum5vxeRfQILZ1loFrFS4d3T68jQdI5KBsXYf4mrnuSPDdI0N6RJjjVO91gz8QCzKDas6i9xAE0vR1ht32c+42p4rXpze0OeiVRP2MQpjd97PixJNTDTGlqMys6SsXbHfZvCeALnp5S94937Njh/40DMys6OscbRphlQRwYTepv8MCixFsbwPwqKQgb2SOMv/71r6HXgeYlCXhrCb/1ghEuRuZJUIscswm21QrMc8w+3HLLLf7oPIp6dVGmFk6RuTarGT9qJrK0f9GzqfuHOSuCMgmz9L0OuPWbN7gHX8SdnZ3ddL/51dawsLIA6npY+u6991654oorWr83lRTMJOErwa7fklJ05IXfIYmTT335oKxOnrJpdgJvjMm6//N7AZ39IF1tvfnbgW7yUvb6J0+/xDr7N39MxvNzMu/V37W2nxAmpHfQD+msZNI+yYU9E4t+6+c//7m8+OKLbf0I4sCMBHR6J/1Lz4T+4Ofmdge90umsDt5+POaYY4Izi7R/5NNTGKmBTY/2SBOjS8yo4C8cZiAwanRZpLaVBisPYWIEqeHgWRzjXpdzgWzqNd2YaWOOUnEdo+EoKxP34H6kB3mGJR2VN5uwEXlUkTifgfXqPYPn4DZGofabIPGbbTU/kIU6ezbMtr4hp7C9GCojF5iFMmeitIwB4kxKlLzC0HyZ+US+bT+4sPCRt7CZNK0/mCFBmJCB5i0KhId0uIDM7XJA2HH7YMLXiPGGQPsoB7MlqCeFUsV7Ljh2Pou6NZgPw3W674p0z4auSO5cqL95PezerQR6Gv1BWmgfENbW0WbRvnFPXLu1QdvvRobNNu2VFdqr9hUpTlXG6SAz/l6bcd9qEIQLZQ2Fb3Zu6HChvJEBFBquK3jG7NwgBISh4FktbF8AhoPQzHhMcB1h2x2kCa6b4bqMFZxrh+IyzHAd+UE4SI/mH5VXw0Ke4BfmELfLH/Eh3LDOLA0ge8jBxPZDPpAH5A8yQnrDDC+7PBXIwy4H+GmYLtm7gLJB/J2CsJMYlABpcuUPZWKDPOgSjoZv1gmkFfLAPXb+cR6nOBE+nkc4cAjTLSd8/M3/BFyjEGGkDsNH4cKNlebXeFUWmN4eTIpGA8jURZi/Yl53HeNvXBiDALrJ1Ya7AW1Q230SvYX7IIOwvsgF0psFuUEHIf3QQ9CN4ToofVLNPRKtnXFcQUCZI+MmaVYgE+1w7fiSgrxovpJ2clqo6HgRtxLWsWcB5M9On5l2E8gBeYuSKe6B3BTUD8gyLRkgbS5jqN8g/SoX5B95guzi6heuwyCxjRI8HyZnF4gLyjFUjrpWjDXiqFGUd1/WP7f/UF4a3yhs/tw+jBjkrWmg1BolzsCkSljHGNdhmtftYz2PC2OYQLt1DVzjQN8Q10eaIJ5+9I3dgvRDByXtD9NgDP95lYcQsm2oS7U4IdNrBamslCN/Lbe+WJTlmXLwFlAC6otSXJ6RcuIHeqO+OCV75IC1t6UqxbH9squ2spFurIlPrMt8Izq/JBljY2PB0WbCugx9Rq/jHMdh/oR0Ql9eXSaEbCXjki83pBFjqIDxubLMLC963X8SqrI4QEMllPphWZNJOcVMBjbzeb7ci5seMChs1yk0TEha0FghZMQZn5tLOBuRl7mtNlRAbb31tlI7q+0vOJGBYRolOLZnUwjpFRorhBBCNqFGh+lcwN80SnBMI4WkDY0VQgghm1Cjw3QuwvwJSRMaK4SQbUJKP0VP+kbY7AwhcdBYIYRklg/XP5aP1z8MzgLys1KwN9O6Nt2SxJhLPWpQ2H5h/p1gztB0+iwZbWisEEIyy85dJ8gJu3YGZwp+RmJV9i5Ug5+RqMvinr0ipX18bblL1IjoxiUh6X2EhEFjhRAydOTLNanIfpnwR/cTcnCyIgfsN5WqRX/0XkzzZ8dHhLBZj77MhrCcSAJorBBChhB8S2alNbpfKec3/0Bavuxdq8lsX3/Gc/sBwyFsJgT+SQ0WvTfMtWA5kQTQWCGEbF/qNZEJbmRJCoyIMENF6dRgiXItWE4kBhorhJBtSl0Wl72BO/vAxLQZEBGE3Zf0+XZYTiQe/jYQISSz/FfxJPk/8n/l/fJ/BD6EkFGEMyuEkOzyryNy5F/BMSFkZKGxQgjJLDvPPVVOPdd+dZkQMmrQWCGEEEJIpqGxQgghhJBMQ2OFEJJZxufmZfLgglT5CQ5CRhoaK4SQDJOX8so+ObwwJWP8xCkhIwtfXSaEEEJIpuHMCiGEEEIyDY0VQgghhGQaGiuEEEIIyTQ0VgghhBCSaWisEEIIISTT0FghhBBCSKahsUIIIYSQTENjhRBCCCGZhsYKIYQQQjINjRVCCCGEZBoaK4QQQgjJNDRWCCGEEJJpaKyQEaIui8Vh/vVeL/1TYzLlpb8e+AwHlDshpDdorJARoSrFqQU5Zd+KNMr5wG/YGJe5lYYcmD0se6aKXo6GAcqdENI7Yw2P4JiQbUt9cUr2yAFZmRsPfIabYckP5U4ISQPOrBBCCCEk09BYIYQQQkimobFCRoIP1z+Wj9c/DM6yTF3q1aK/mTOKYckP5U4ISQMaK2REaHj/sk21OCZjUwuyfGhNVgO/cLKfnyaUOyGkd2iskJFg564dsmPXzuAsm+TLXke4UpaZXYFHBMOQH0C5E0LSgMYKIYQQQjINjRVCCCGEZBoaK4QQQgjJNKkbK+VyWe6+++7gLJ5PPvkkOOofb7/9trz//vvBWZMLLrjA91eQ7qTg3quvvjo42wB5scMl2WC7vcXBt4G2hu2QH+pDMoyk/gVbGCpffPGF3HbbbYHPBmeddZZccsklwZnIm2++Ke+9954888wzcvzxxwe+G6ABnHjiicFZO4jjjTfekEcffdT5rA0azRlnnNFK19jYmGjWK5WK3HLLLfLggw/Kaaed5vvZPPHEE3LUUUfJ9PR0Wx7x7COPPCL33nuvvPrqq3LFFVfI66+/LieddFLwZH+BQnjooYeCs2iQ5ueeey5U3gCKB/fFkSQscNlll8m1114r55xzTuCzNfzX/z5KLpL/J1/+538EPtkFX0mdWJ+P/Dz9sOSHcu8faPuutgdd9dJLL8mtt94a2ja3qz5MA8jm2WefDc42OPPMM2P13aBQQxCytbnrrrvk+uuvD862ETBW0sQTlO8U89yOziv8xgMPPBCcbeb8889vvPzyy8FZO/A/+eSTG56xE/hs5siRI74DuO/YY4/1j4GmBdevuuqq1n3APDZBfMvLy77TPCGNb731ln8Mv5tuusk/HiQqg8cff9z/Gwaux8ks6pqJyl/z7gJyhMzD5DlIaqVcI1eqBWfZBmmVQiU4czMs+aHcewPtDPpJ9ajpwtoynoFutUE71La4nfVhryAPkIfpsqLHTLQM7bRqWWw3UlkGgjUN6xruhRde8B1mUTBKv/POO50jdUxDfvbZZ1IsFgOfzhkfH4+02GHZ/+Y3v/HT9dRTT/mjfE0nwN9rrrnGn73B7IRem5iY8EcONoVCwf+LEQXAPV7FkK997Wv++ZNPPilXXnmlf6zAAu43KgOky57eNTl06JDs27cvUmadjIAg/7CRF3j++ed9mZsjETN9LtkMQl6EDBNoMxgp287rrFrt9ZVXXvH/Kq7R/6jow37w5z//ORMzKiYo+zvuuCM42/6ksgykFRCFqRUfjQnHWOrRim5ONcKQOfroo/0GEwamuVAgrqWgDz74wG/EmJYLA8tIMIaiOlQbrK/+7Gc/k9///vetpQsYY2tra/4x0Li/973v+YbY/fff71fmCy+8UG688cbgriZosDDc7rvvvsCnfyBNMBBcBiDK6Ctf+UqbgusFKMf9+/dHyh9le9xxx7XKD7K6/fbbW9OU9rIgWFpakqeffrqjMkvCUPwAXb0q1ZrI4UPTsnetIJX5WfF6Csl7RqHNsPygHuXeG2Y7M/UsMPUpdCX0EdpVWNscNX3YLfYy0FVXXTVU6VX9uu2AsZImmIKCw1QgpiIxdabTZ2Z0l156aXAUTtwyEK6HgeUlc5ozKXjOnu4z84B4ES6mSs0pWCyxmOnB/X0QbyxIlwvkK0peip33MOLkj3D0utYJG5d8YmVWKfj3uFyuUGmETdD/5aKvNr560V+CMws7TF0KaPPPNfo/+19r1GqWC67YROanH/RD7iATss+u3M12prpH9Q5ko0Cf4jpwtc1R1YfdgHRv1D1py1cWwTKcmV6Xrt0O9LwMhBkSnS6EwxIQLG1Y4yeffLI/nWhPI8IKn531Ri995Fvf+pa8+OKLwVkznTfffHNbWtVhBgDXAEYe9nQfzuEwyvjpT3/qT715DdQfqcCqBdjQdtFFF/nH4N133/XvGTSIE/K1WVhY8NMex+WXX96SRS+g3L1GE5y5Qf3omHzZ03gVKUhOvA4M2q/pahWZXJqWPYv14Eab//H+heCHWZNSzusWS7WNDZaef8XzLFQ8v8aK9H8wPe4vrbW54MpmIvLTD/ohd9Cj7PF7PsWpoixWw+JPQoblbnH22Wc7Z0ZPP/304MjNqOrDXsGm2jRmovsJNjkPo2w7pWdj5fvf/74/5aQOU4/oLDG9DwMFfp9++ql/n4Lln7/97W/BWTSPPfaYs0HBPwpMWZrTnWisiNdMqzo09Hw+/A0AgIZ5ww03+G/AaFg6NYv8YqnD3psDxTJodu/eLb/97W+DsyZqKEYtuZngLSuXzE0H+b/22mvBE+1AJpBP3HQzOoWuqB6SpdxumTEfH5+QXV6Ht7peCzza+eC//x0chTEuM7tzsnpwWVrdXr0qMrMi5XyX6WxRl+riokT/RN4Q0Be5g+5lP+4ZNWV8Kl+WfaOl2JPRsn0ZVX3YK/YydVYZRtl2Ss/Gim11wrqGHyo9sNdZAY6npqZ86z6KY445xrfs7cYE9+Mf/9hfIwWIA40nii+//NKf9XF1vPB/5513gjs3gzVgrAniNWnkDWFNTk7619BAsVlNN5JpOlZXV7fEIodCgrIw5TE/P9/aDJcEXfuOcpA/9qOE4do3o9ibATulemhJcrtn2ke/9WU5uOqNzndNBB7t7PCK69Rzo3/TZXxmt+RWD8oy+jvsY5C89GSn1D0jpTglU8Vlr+Od80JLj53nnhqbn7Tpl9xBr7Ifz8/5Rss+32iZ8o2WfpgtWyH3fjAq+rBXNF9ZB6+hb3saKYG1TbzKhiB1jwIc/HR9044Oe1rM9UB9Ba5Th3COPfbYyNdosYZqvtprpgXrrlHP6lqwgriQVkWfxX2QA8Aash4PGqRDX12EfJBee905DKzX4plesMsRYWq4kIuWlbmmrcRXyVqjlLP2MNQqjUJOGpIrhe41qBSkEfNWqg/uk0KpUUlwbyheekqFQqOAvRx92msx+FeC+yt3kIrsA2pIWyHXKJTC99N0w1a8uqztxDwGZltB21I9Zd/nIpP6UOuTl5acVw/89hNcGiSQHdIAZ+c1q2DPkKYZdWE7EtczJAIVFQWsHaSCgoZfmLECoZobQnGf2analTvNymOnJQqz89VKoefInzZ6pF03DscZT/0G5YG0IK2mUooDzyFfvWCXo8rKxqVQY8ulVmrkvHtw34aL7pRqlUIjF9GhtoF7u93Q2acO0g0UeyEmnd49m2TldrEdcL/lDnqRfQh+GqTgSSItksg9PaDvtJ2YxwBloKB9qW6070uCGVYc/dGHzbpaqECwtcBwjSq1FOu2BWSnzyJPw8AwprlTktfQEFAx0ThcDSSqcYGoRoUZF1vwOMczJnbHaIP70aC0ManTsE1nNjQTMw6kV9OANNqzFphJgpEF/60EigF5tA3IOJA/yKIT4u5HmK5Rlavs7Tpi43+4K3EHiNkANGCvU/WVYAzBWyBQlB0pOH9EOCgjZYNaCR2xl7+kUxc90Fe5g25lH0Kt4o3MUSZe/GmXySDlbupItCFzcGe2FfirXjKfscmqPrTLHfVtAOJ1gjxBHnBqbGUZyFvTq+W4HenZWFFQYVExzcqORmE2GggSgsW9cKgIYZUBjQThmeB5u6GhQcGZDcQE8bgaLsKywX3mdKaNplnRtJjgi42azjCQVsSFdPfrtTjIDwoiSjYukC47T3HE3Y90QHa4z0xL0nIxiR9xbQYdFzqXyMc8g6PVr3qjcelkNN6jsYI8J3EmvvGANKbdE4fQN7mDXmRv0TRSCo1SQsG45Gw7kyRyT7N9m/oLusc0Hsz2Y7bbMJ0HsqgPvUJvFNpm1GDspjkb1hnIt1n+/dLRaQFj0Exvp/p7WIjuGTrA1QhsPwgSwB+GCDqxsKlBPIeGYHZueB7PdoIrXUDTYoL7osJHWqEs0ACRNlf60bjj0olruKeb/CQBaVQjBUqiE6UJGXRa2V3yVZAWVVQ4RrmrzJKWywY6VRycdkDkiL1W8jq34Niny3gGuAyETjN+BqKZD61rUS46rD7JHaQi+5oneiw5JTdSuiWJ3NNs32i3CANtGfpGz22gd1RX4npYmwy7hrTa4L6o9KelD1EH2pYLce5XgEqjFCrrtOr2ZpBv8/loQ2vrgU4107tdjZXUf3U5CXiNDl8pff31152vt2K3eb1e938MC5+HjnvTZ1AgrXj9F6/pff755/73Bc477zx/Bz3AW0n4ATCv4covfvGL1ptQNjt27Gh9YwTHaYLvIzz88MP+rny8dYUvL+L1O89g8dMZlqZuQdngzQB81dIF3kS67rrr/GPIDum4+OKL/XOkxXwLQeUYCl6dlYLMpvhaTb26KFMLp8hcW5h5mfU04dL+xc7eKBnPS7m8IuUZkeViUYrFKl4I2kK89Hj9kNfOY13kF1n7IHeQhuzxnZWpqQWpTeyTlZWyF1Yvr2+lQ5rtG2/QQF/ec889/tdgcf7RRx/5X4E12xy+tWG+cTkI0tKHPqvr4r/8Xq9Kcc9eEbxdVj0s7e/Jm6RUtxOAL/JmpQ+ygaw9AzY46xz0F/gSMt7sDNPhmcErzFSA5QwLD1adOlikphWfNDo8oxY6Rguw2hEWno+00B3EjSQQPtIaNjIwQVi4D6MJBc/jHM+Z6UZ6EZ55rwnuS/NHvjR+194QgBEO0gOHeMPkqCOhTpw5W2KCeOz8Y2SINAA8a+Pyc42iOh3lbxrhWxtGN8LT/RbqetjwWcNGQW8kjjdcug0jhGQzK73SB7mDQci+TySVe5rtG23IHt0jfG3LNrjfpfNAVvUh5OqXOZZ/tH50WtlSAuneqINNBx2HvGUJyNZOJxzKLymoP3gGZQPdn2WSWQ8JcDUC2w9CiQOV2lWhIUgsZ0CoCBONRI0iODznargoUFcHbqcFYYQpF8SNMMIKE9fwrF2ZkSbEg7SaQC6dVKgoVLkgrrjGhOtaOeHwTNLloU5BGYYpJo3TVR9cfmnwUF4a3ygM8PP0bXhGS8kzWIKzNPhL4RtbmJ/kbK3c0yeJ3NNs32hDYXoJekf1K/Qc4lQjA23bRRb1YdZwGStwdv+2lUC2MKBc6Uyr7mWN1HoGNAK78qJTMjvDuMJGJUc4USA8xIMCgUOYcGENKwwYPr2CtEKZQDmFEXWtVyAHxB9npNjg/jBFkwYIO0m+XWXdaV6SMpiZiN5pvmrbVDqYkQlL8dDkp8/p9Df+Gora7eI3a2ZR7mhDce3IHmygTUEfdtqOtoM+JNubVH51mZCsMxS//ltdlEWZae67wNr9xLQsFSobv5djwF9dTpFtKHdCthtbssGWEGJTl8X9e2XvoeA3dsabG01l7XBfPhtPFMqdkGGAxgohmWBcZuYLUppt/42dTb/FQ1KGcidkGKCxQkhGGM9vvHqLV3IPSUUOcLmh71DuhGQfGiuEZAmvs8R3Dyaml2RNDgeepO9Q7oRkGhorZCT4cP1j+Xj9w+Asw3ijfOx5b9Qqsnttr0xMuT+ONiz5odwJIWlAY4WMBDt3nSAn7NoZnGUQfM3VG9kXq8H5eF7m5gsiq3tlQf0MMp+fAMqdEJIGNFYIyQTrsio5/yvjZJBQ7oQMAzRWCMkC+bJUSpMitWDxoV6Vxf1LIrmS7Ev5N3mIAeVOyFBAY4WMBMOw1yA/V5aZwwv+ssTYxLQcnCxJbWXO+Qot96ykx3aUOyHbDRorZDT41xE58q/gOMOMex3nSvNnMGSl7O4wfYYkP5Q7ISQNaKwQQgghJNPQWCGEEEJIpqGxQkaCneeeKqeeu31eOR2W/FDuhJA0oLFCRoLxuXmZPLgg1W3w63T16qLsOTgp80PwSXjKnRCSBjRWyIiQl/LKPjm8MCVjrS+ADRt1WZwakz2HTpEDK2UvR8MA5U4I6Z2xBra/E0IIIYRkFM6sEEIIISTT0FghhBBCSKahsUIIIYSQDCPy/wH5f24Z3S4aGgAAAABJRU5ErkJggg==

答案:data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACgAAAA5CAYAAABEdGlTAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAGeSURBVGhD7ZgxbsMwDEXpniXpUPQEyg2SpVPXbvLYqVsPIY/NPSrfoCcIOli+i0NGCgJlaAF/tnBRPsCIZQfJs2gSopqJoQVzUz4XiwmimCCKCaKYIIoJopggirrg2Le0aRpq+Ni0HY3l+mxkuaVGDFOIKZ+nOHn+efIxj2eiKJim4Gqh6HnsAt+Zj2KIV7R79RQe1mWccY87vgNQRNVJ0U+eZxOZPUE/izlJJEHW2z0daCgXAYqoPpwkp3cSfAf1BDmDHT9vlbQcZpkDJJEVQ/xJH+Tors4RnCKqQgy+qoPLCnEhsaSEWp7deUxOsMYdxQRR/pZg3+Z13NdHS335/m+gksUi/h1z/8bKDIoJovwvwbrl7PGWU5As1kBWMdotp6AkyEJXDVIKjsuXmwK43tIJ8TjQYb+lp+4S1NXtfTkDKaIwKaV6cXrqRzzPLYb6ijqTdxkcGl/mRwTl/dOQE/QFZUdBSU7QFbyW43Jzrjxz0SvUY0ft8EJvz5etovF9kD0ljCKKcS7M1wfYEwu2HkQxQRQTRDFBlIULEh0BkaIxNV60GLkAAAAASUVORK5CYII=data:image/png;base64,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

答案:7data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAi0AAAAfCAYAAAArxP39AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAr9SURBVHhe7Z0/U+u6EsCX91kCcy+T9jZm5vaBhiotXShDk+7Mm7lvTnVokhI6WiqaJJ+AfAKGO0PyXfK0jpdsNitZchzicPY3s1harVcr2ZYV/+Nk6QDDMAzDMIyG859iaRiGYRiG0Whs0mIYhmEYxlFgkxbDMAzDMI4Cm7QYhmEYhnEU2KTFMAzDMIyjwCYthmEYhmEcBTZpMQzDMAzjKLBJi2EYhmEYR0HppOXk5KRI1UvIbx11pvhA2zJpMlp8sTFXaZtvnX3WWRWtrqr1l60XKo+pU9qkxJlieyx8xzYZvxe2D9dP6aQFP5irDaZSOKGyKkh/MT61uEOgPX0cmNJcF8NidLER4+1U01/AaLHSE3wdFE1HUifoT2ufVo+v7tiYaot9MYXbC+yL7X6sg1A7U/YFpLY2NwRsT5lINBufHA63T4lYLvaxcxkbTG83+/yEBsyGsxGzkGT2PJ59RyrfHio7qfMy2phy48p8iFB93A+XsjIN9B8qD9Hqv8J80nOpDIbzJTx0SP8DelkGveEE5stX6LdWeo7WNtJpZbtCbeR9QkJ6DtYvdZiPjUtbP50FjO4/YPDq+mPShvdx+CgPxYdlXAgZJy+nNJe6QF8yVl+f8fpJfHqSusCYfKKh2WmSwl7a15tsxPMqD9LpqBknlZg4mhIrR4mp88D3gQngyHks8H2FJJ208cxYETVpqbZB1uD6OLDwjUtpruMDUMpgpPkK5UnHofpk/ZSPpdUZwDCbwfPnDuh2zNsXuH56hYd+B5T5ykGQfcHzpOPwftGWBOZJJJrfNFrQf+iv+vD0HM7P/L3J4+Px4LKsragje0TakxDSP1+XQHtNXwUtDqmTcmzI/pR996VtW7gTLvTVHxtfTsfFMQ9MSpoUK6cs7m9E/HEeP54Za/b6IC5uPBpUaEkblAYivoH5IMTTsXBfGr5yqisk8bTgqpvB7Hnspis4YbmHs8EDdHbYH2U/7QL54qLpuQ7R+oHr0I7nuV6KT48Sy/T+2R3oRcYDxcNjoXQZsXYIr4PSKXWFbMlXLCm2X8Eu8VCf4DK2LyVbtyCYxN2NwF/DAFfFVVMNXsfnbaXp7bqui5HzUgE3AbnQbht0rgDuNZ8HjBXhfrTO9cZdM2Vx1AjWUQcx45lR4AYDL1hMQvhW4XZySXAbQuaRMhttHYT0IXuZTpUoJj1nmy2zrLeczAtdAK2O6Locmm3M+j6bMr1cIr60hq+8bD1iPsycrevbIq8hfYV8U5lmE7MewfMxaUTmffjsqvqrAvouE4mm0+B2vjQhdWV1THqw7G3sLPPlMMuWw89j85/lH3/8U6QF7ljeXFdjnteRrR06JstefvxHDAAa+RiCfcrjXIPHwFZch4oVmQ+XGVWOaRf7Zh0r1LhzAtsghcg4dsG3f1LaV+4jZjwz1gSvtLjyXAicVfI8R9oimOczUSr/nAUrs1TSaWUh0N4XG4fHhGlah9Jl+ShOzyGDGbR/xF9h0fxjnFLqAn1p9SGol3Vp9mRHZXIdDc1PEu7X582dG8p754UiHV+csW3QoPVwGWojr4PsaB2fIFpslJe2PE+6usA4fOJDxqMJJ+QrnQV8vPXgurj6MB3hL328GtqF8qvxCxj9fIPz0l/ALegMhgD51VVkCqNbfFYBj/+Kl1g7D64f/M95tK668PaTX7U4YKyOxfwMntYP8cHTkK42b7Idd73ExtEYIsez0BXDXI7kIeY6SLo9hIOJ2mGF+JDlMQMd1RUD2nFf0m+oHoJipDplPp4p3N68Q9tN8R9fdtuRKG5c+tqA8WEZj1PTEaijckLT0foolEc0O55PgXzH4/r29A7akyf44Y7xsvGZ4pf1UNs0eDsJ7oeLhuwLtJM6yvOlTHMdwfPcr7SX+UPD4wkJIftY5pNYjOG5fQ35acydIH6+n+XPELT6/ZUuyBzeZ+2IyY2jdQbt2TOMF3hL+AOu6FmFfZHX9+4iJA4ba6uz+bxe66xdpARbcddLdByNIH4823xoWRGaqP0GJD/Tgh1ESy4hZLlvEMI8ty3zS5Ad9+sTRPOLOhItHwe+voYP3T7AoJvPWpwmDh5fFTDOmPWpTVQfCm8n9yH1VEZpblsFiiMON8BeXMLbcJ6/lfUBq5NPCIqf2lAV7ocLgW3geZ7eB7K+7wb1L7VR5lNYjJ9h9ni52l/dCSLiUsSaxQ

溫馨提示

  • 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
  • 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯系上傳者。文件的所有權益歸上傳用戶所有。
  • 3. 本站RAR壓縮包中若帶圖紙,網頁內容里面會有圖紙預覽,若沒有圖紙預覽就沒有圖紙。
  • 4. 未經權益所有人同意不得將文件中的內容挪作商業或盈利用途。
  • 5. 人人文庫網僅提供信息存儲空間,僅對用戶上傳內容的表現方式做保護處理,對用戶上傳分享的文檔內容本身不做任何修改或編輯,并不能對任何下載內容負責。
  • 6. 下載文件中如有侵權或不適當內容,請與我們聯系,我們立即糾正。
  • 7. 本站不保證下載資源的準確性、安全性和完整性, 同時也不承擔用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。

評論

0/150

提交評論