[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fK2GsVJFW0Y2BpdF2dsxqfyxHzcIdXQJhALgtastpB7M":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":15,"related":16,"source":26,"type":27},[],"2024-12-02 08:22:26",1005949975,[8,9,10,11],"P是H0成立的概率","P是假设H0成立时,获得"手头"样本(现有差别)以及更"极端"样本(更大差别)的概率","P是统计推断时冒的风险","P是第一类错误的概率",{"courseImg":13,"courseName":14},"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F055a74da96c2f539c9278781f62e9e67.jpg","[共享课]应用数理统计","关于假设检验中的P值,下列说法中正确的是( )",[17,28,37,46,55,64,72,75,83,92],{"answer":18,"createTime":5,"id":19,"options":20,"question":25,"source":26,"type":27},[],1005949941,[21,22,23,24],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fcf7aa73ac9443c3f5a6e1b90b31d1432.jpg\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F583c808ffcea9b2879abed4467b2b276.jpg\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F57d649a0bbb2645e37944e7fd6d4331f.jpg\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Faf0a24d3f6b961bf7340f4f7110959b7.jpg\">","设\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fdb55be1f78871f39f46b7ea65ea75e4c.jpg\">为来自正态总体\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Feee751b87b42e576223c45a10f74a534.jpg\">的样本,则\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fe9c613f2ba2a096e89d2141e97cb0a3f.jpg\">服从 ( )","v2",0,{"answer":29,"createTime":5,"id":30,"options":31,"question":36,"source":26,"type":27},[],1005949950,[32,33,34,35],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F3ca8f62856ca08518d6d3ccce9d8f839.png\"> 已知,检验\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F80787894f0602add9dd22b2b27fdae06.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F8aeb80fbee54a9f5b5e6637fd1ca1782.png\"> 未知,检验\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F8c551350b56901d2d98da95d2adae24c.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F020a43b3e5739adabbcf53a728d49cef.png\"> 已知,检验\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F4df91026ffb626be851e1ada7bfe9130.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fdb30410fc6c2e2b36b75ddf27f716cd6.png\"> 未知,检验\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fc1e72156aa156fc5008a909f585e31d6.png\">","设\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F51c876ffb6af13fa938e2bfce07553be.png\"> 是来自正态总体\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F7e862b1f5c08b0aa1190f29ffee64d8c.png\"> 的简单随机样本,若进行假设检验,当( )时,一般采用统计量\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F4bebc5242051ce8d86863d1656caae2c.png\">",{"answer":38,"createTime":5,"id":39,"options":40,"question":45,"source":26,"type":27},[],1005949957,[41,42,43,44],"必接受\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fbb51964a79ce44ace14df111b2b21146.png\">","可能接受\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F478ff9d765565be5ef1496ca3551a47a.png\"> ,也可能拒绝\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff17d32cb292c185dd478c8a674169414.png\">","必拒绝\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F4ce35957f55c9537ebbc94d8068cc731.png\">","不接受也不拒绝\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1a678f1bd120cfe7110c624ff0a6f75c.png\">","对正态分布\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F26f352500c3212ca8a70c62e7e595387.png\"> (\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F975a0d712308913b7a6ae1deb259cdf4.png\"> 已知)关于\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F4bd805eac1d906d6ebc0fd0ed366ad4a.png\"> 的检验问题.在显著水平\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F13dde168ad1975333aadcff7e0b8218f.png\"> 下作出接受\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fd86b7b9ec2851607005378bfbb371588.png\"> 的结论,那么在显著水平\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F150bdca272fc1bec40c9c6e07fe8d1b1.png\"> 下按上述检验方案结论应该是( )",{"answer":47,"createTime":5,"id":48,"options":49,"question":54,"source":26,"type":27},[],1005949963,[50,51,52,53],"必接受\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fa03c696fa049d288f5d931af97b86c54.png\">","必拒绝\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F7d5e7695f1d4faf36c4d8face2761c11.png\">","可能接受\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F7f6917f5d44a9fdf0fed3b8946c06992.png\"> ,也可能拒绝\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F7be9ad3ac2d41cb7f753c5e29a755692.png\">","不接受\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fc7e86a951241b2c2a90770e5eda10425.png\"> ,也不拒绝\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fb9f4191bf01bfadcafdd6a02f4bde4f9.png\">","对正态总体的数学期望\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F853f87eae64af8de4ae10ff3bc7ee675.png\"> 进行区间估计,得\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F334ad6c53c99d77b0ce9b088e473d89b.png\"> 的置信度为95% 的置信区间为(18, 20),若在显著性水平0.05下对进行假设检验\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F78eac050386adc8af6e0697ff073523a.png\"> ,则下列结论中正确的是( )",{"answer":56,"createTime":5,"id":57,"options":58,"question":63,"source":26,"type":27},[],1005949965,[59,60,61,62],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1b2ffa92ac969d61d3a2ba59d5ca2d06.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F33860c5c8ee6555836618f79bfefb23d.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F2ba186637a0ff4833c18ee48975d3890.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F32b8798b71f2540db8a94ada5b3c3e31.png\">","设总体\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F23c31fdc7038d8a9c17e059a003af73f.png\"> ,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F5cd6f715f9e9cb5dd0b6cea318c03a8e.png\"> 为已知常数,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F8b038a154dabf2e5d8d0eb6314891944.png\"> 为未知参数,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F980c1515572a72a6af41f0293b06bd2f.png\"> 为简单随机样本,则假设检验\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F04a7448096e48435a5c91b4f60d0dbdc.png\"> 的拒绝域为( )",{"answer":65,"createTime":5,"id":66,"options":67,"question":70,"source":26,"type":71},[],1005949972,[68,69],"对","错","区间估计和假设检验都是以抽样分布为理论依据,建立在概率论基础之上的推断,都具有一定的可信程度和风险. ( )",3,{"answer":73,"createTime":5,"id":6,"options":74,"question":15,"source":26,"type":27},[],[8,9,10,11],{"answer":76,"createTime":5,"id":77,"options":78,"question":82,"source":26,"type":27},[],1005949987,[79,80,80,81],"样本数据符合假设的分布","样本数据不符合假设的分布","需要更多的样本数据进行检验","在进行分布拟合检验时,如果P值小于显著性水平 α,我们通常可以得出( )结论",{"answer":84,"createTime":5,"id":85,"options":86,"question":91,"source":26,"type":27},[],1005949989,[87,88,89,90],"1924.3除以(1)","1924.3除以(2)","2626.9除以(1)","2626.9除以(2)","对于高压电路网络,需要使用抗张强度较大而且均匀性较好的电缆.每一条电缆是由12根同样长度的导线合并而成.现在抽查了9条电缆每一根导线的抗张强度, 测试值(kg)如下表所示(为了化简计算,全部测试值都减去了340)\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff9eaa79ca136efd8f0707cf11d9fe6cc.png\">为检验这9条电缆的抗张强度是否有显著差异,试验人员进行了单因素方差分析,得到方差分析表如下:\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F9238cb061fb34bd292a991d31b4af7ff.png\">上表中空格(4)处值的计算(仍用(1)(2)(3)(4)(5)表示对应空格处的值)下列哪个描述正确( )",{"answer":93,"createTime":5,"id":94,"options":95,"question":100,"source":26,"type":27},[],1005949991,[96,97,98,99],"将(6)处的值与自由度分别为(1)和(2)的F分布的0.05分位点比较大小","将(6)处的值与自由度分别为(1)和(2)的F分布的0.025分位点比较大小","将(6)处的绝对值与自由度为(1)的t分布的0.975分位点比较大小","将(6)处的绝对值与自由度为(1)的t分布的0.95分位点比较大小","对于高压电路网络,需要使用抗张强度较大而且均匀性较好的电缆.每一条电缆是由12根同样长度的导线合并而成.现在抽查了9条电缆每一根导线的抗张强度, 测试值(kg)如下表所示(为了化简计算,全部测试值都减去了340)\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fd147a25ada5cffbb38bf5d52d62bfe6a.png\">为检验这9条电缆的抗张强度是否有显著差异,试验人员进行了单因素方差分析,得到方差分析表如下:\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F00bea15b1560dd3bd1563c5116a75daa.png\">用上表中的值(用(1)(2)(3)(4)(5)表示对应空格处的值)判断差异是否显著,显著性水平设置为0.05,下列哪个做法正确( )"]