Grubbs格拉布斯检验临界值表 n345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455 0.91.1481.4251.6021.7291.8281.9091.9772.0362.0882.1342.1752.2132.2472.2792.3092.3352.3612.3852.4082.4292.4482.4672.4862.5022.5192.5342.5492.5632.5772.5912.6042.6162.6282.6392....
Grubbs格拉布斯检验临界值表.xlsx,0.9 0.95 0.97499999999999998 0.99 0.995 3 1.1479999999999999 1.153 1.155 1.155 1.155 4 1.425 1.4630000000000001 1.4810000000000001 1.492 1.496 5 1.6020000000000001 1.6719999999999999 1.7150000000000001 1.7490000000000001 1
n90.0095.0097.5099.0099.5031.1481.1531.1551.1551.15541.4251.4631.4811.4921.49651.6021.6721.7151.7491.76461.7291.8221.887
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本来就存在一个包含无穷多测量数据的总体。实际的测量只不过是从该无限大总体中随机抽取一个容量为n(例如n＝10)的样本。这种样本也可以有无数个，每个样本相当于总体所含测量数据的不同随机组合。样本中的正常值应当来自该总体。通常的目的是用样本的统计量来估计总体参量。总体一般假设为正态分布。
最新Grubbs格拉布斯检验临界值表 n 0.90.950.9750.990.995 31.1481.1531.1551.1551.155 41.4251.4631.4811.4921.496 51.6021.6721.7151.7491.764 61.7291.8221.8871.9441.973 71.8281.9382.022.0972.139 81.9092.0322.1262.2212.274 91.9772.112.2152.3232.387 102.0362.1762.292.412.482...
最新Grubbs格拉布斯检验临界值表 n 0.90.950.9750.990.995 31.1481.1531.1551.1551.155 41.4251.4631.4811.4921.496 51.6021.6721.7151.7491.764 61.7291.8221.8871.9441.973 71.8281.9382.022.0972.139 81.9092.0322.1262.2212.274 91.9772.112.2152.3232.387 102.0362.1762.292.412.482...
Grubbs格拉布斯检验临界值表.xlsx,0.9 0.95 0.97499999999999998 0.99 0.995 3 1.1479999999999999 1.153 1.155 1.155 1.155 4 1.425 1.4630000000000001 1.4810000000000001 1.492 1.496 5 1.6020000000000001 1.6719999999999999 1.7150000000000001 1.7490000000000001 1