[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fec-TAhENznP-DGj4n5SY99APMdHQLkkZBpRECrCLRv0":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2025-12-25 08:36:04",285390677,[8,9,10,11],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fe583a331e21dbe16f3d7824fbf6516c9.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F3375ba0d30c5a0f0c0f86916d3604dd8.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F624849580ef767685da61bf43818c5fb.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fbc0caf98fb110dff0810a9343e3dc05f.png\">",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},161,"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","exam_168211514","","设\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fe9b0211d3c728768b19c60f76e78533c.png\">,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F69a48fefd33cd6160c31522a819600e5.png\">未知,现从总体中抽出一个样本\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fb11a203d304d0199df1330fd8d2a43d8.png\">,则\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F69a48fefd33cd6160c31522a819600e5.png\">的矩估计量是( )",[21,32,41,50,59,68,76,79,88,97],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],285390671,[25,26,27,28],"[44,46]","[44.804,45.196]","[44.8355,45.1645]","[44.9,45.1]","来自正态总体\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fd8cfc62eabce9fc22349afae4c96dfa6.png\">,容量为400的简单随机样本,样本均值为45,则未知参数\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fed1f4d3c386f168f6dd71edf78235307.png\">的置信度为0.95的置信区间是\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fbbcf92bcc8fd13a7ef2490bc8c98df33.png\"> ( )","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],285390672,[36,37,38,39],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F38f54fca9814ccad2fbdd2ca9d640a98.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F9a2400f338eae3c7076383bc83514227.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fd631713661254bf6cb4db0a40c1fb8d1.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F558ff453029fd8fd28b2c13b8d45f3c6.png\">","设总体\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ffd09698e60aab2d201fbf944514a3389.png\">,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fed1f4d3c386f168f6dd71edf78235307.png\">已知,通过样本\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ffa326f4906d7e812b00e841263e997ec.png\">,求总体方差\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F2304db35180e3519bae5ef21b7d91262.png\">的置信区间,采用的样本的函数为( )",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],285390673,[45,46,47,48],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F66e40071e70d45e529df34c37d4573a0.png\">是参数\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F142ef139a8c5575b3688ddbd70049d88.png\">的无偏估计","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F2025f195b4206855c3926bcaf0bf7f9e.png\">是参数\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F142ef139a8c5575b3688ddbd70049d88.png\">的相合估计","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F142ef139a8c5575b3688ddbd70049d88.png\">的极大似然估计是无偏估计","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F142ef139a8c5575b3688ddbd70049d88.png\">的矩估计估计不是无偏估计","设\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F70ad9331521c8fa20314a78b80484ca6.png\">是来自区间\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F3649960dc92192cf34961a7cf678adb5.png\">上的均匀分布总体\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fe22a13f7edcffe98b7a922d3fe5be3b8.png\">的样本,则下列结论正确的是( )",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":30,"type":31},[],285390674,[54,55,56,57],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F6bcd3f68528db41618e7757134c91326.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F9677acc424ca37caa6cd9f92b98982d7.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ffb8ec2857f6a75896c234983c5e482c7.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Febcf81d7c832fb67b22dd3be55ddd185.png\">","设\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F9a28e8682c1901865dd6bffe9444b512.png\">是来自总体的样本,则下列关于总体均值的无偏估计哪一个最有效( )",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":30,"type":31},[],285390675,[63,64,65,66],"一定可以用微积分求极值的方法求出解","可能用微积分求极值的方法是无解的","不可以先代入样本值再求极值","以上说法都不对","关于极大似然估计法求解估计量说法正确的是( )",{"answer":69,"createTime":5,"id":70,"options":71,"question":75,"source":30,"type":31},[],285390676,[10,72,73,74],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F6fc37af15ae87066a70f1a3e48622eb2.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1d1fcbf680eb8cb245dea770d47b7949.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F4c27a33a41e66297b094968a6e11ef33.png\">","设\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F57c9e99f8d3e3c11df77d7f3490fbefd.png\">,现从总体中抽出一个样本\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F4aa9d1e85463a4827c073a0adcc0f65f.png\">,则\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F2304db35180e3519bae5ef21b7d91262.png\">的极大似然估计量是( )",{"answer":77,"createTime":5,"id":6,"options":78,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":80,"createTime":5,"id":81,"options":82,"question":87,"source":30,"type":31},[],285390678,[83,84,85,86],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F12654910082e82257831c524bc0ae113.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F392f4280053f13106bae1d31aec3a923.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ffe9bd8b810ea376f31f49a0512e8b0ca.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fec87e0732fa13c6c927f7dd2f8a4025b.png\">","设总体\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fed92de234b0efe6d05907a2cc6e1f1ab.png\">,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F78b543be91c83eab3e7b95a5bf9dd01b.png\">,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fbbc5a053be546d11a650ca13afee3830.png\">未知,通过样本\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F7f1bbe1ce346b766dd86295fe73a2038.png\"> \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff039d7c339aa874fdd5cabc344fd0826.png\">,对\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F78c185734d36a87a5acf982bf4b313b7.png\">做置信水平为\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff5d6df0e5d586fc8857e34a51c5f4dd2.png\">的区间估计,采用的样本函数为( )",{"answer":89,"createTime":5,"id":90,"options":91,"question":96,"source":30,"type":31},[],285390679,[92,93,94,95],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F9ade972720b27017a97557f9ba4907ee.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fb2cc6544233d59d93cba6648f1e1928d.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff0f982f1e12c3ce9241e99eca2fba4e5.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F904261b79529faec6734de3148713222.png\">","设总体\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F0475c2b672691a359a2a454705f2317f.png\">,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F952e1fa541b571d0b2a342ef533dce3d.png\">,通过样本\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F7e1cb2faf61e40b6f5d585d09bd4e96a.png\"> \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F005007bbba428ab286055b04e8194ca6.png\">,对\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fa21d50a2ac34985687f367bde660eac8.png\">做置信水平为\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff5d6df0e5d586fc8857e34a51c5f4dd2.png\">的区间估计,采用的样本函数为( )",{"answer":98,"createTime":5,"id":99,"options":100,"question":105,"source":30,"type":31},[],285390680,[101,102,103,104],"10","2.5","5","不确定,与观测值\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ffa1495e8ee3c270eea6a5f9c14688b5b.png\">的大小有关","在对服从正态分布\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F975f708a53d110b5a4297c48bf819068.png\">的参数\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F78d0976a0e9a939d6c38a8cf700fb879.png\">区间估计中,计算得置信度为0.95的置信区间为\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fcd907cb40c21be2f412a988c33af53ee.png\">,那么我们就可以以0.95的置信度估计样本均值的观测值\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ffa1495e8ee3c270eea6a5f9c14688b5b.png\">与参数\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F78d0976a0e9a939d6c38a8cf700fb879.png\">的最大误差为( )"]