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MSA 分析中用到的D2*常数表

发布时间:2024-02-01 阅读数:1035
【摘要】MSA 分析中,会用到用到的D2*常数表,比如在量具线性和偏倚研究中计算标准偏差时需要用极差值除样本对应的D2*常数
    子组容量
    2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
子组数 1 1.0    2.0 2.9                3.8  4.7 5.5 6.3 7.0  7.7 8.3 9.0  9.6 10.2  10.8  11.3 11.9  12.4 12.9  13.4
1.41421      1.9115 2.23887                     2.48124 2.67253 2.82981 2.96288 3.07794 3.17905 3.26909 3.35016 3.42378 3.49116 3.55333 3.61071 3.66422  3.71424 3.76118 3.80537
2 1.9 1.27931 3.8 1.80538 5.7 2.15069 7.5 2.40484 9.2 2.60438 10.8 2.76779 12.3 2.90562 13.8 3.02446 15.1
3.12869
16.5 3.22134 17.8 3.30463 19.0 3.38017 20.2 3.44922 21.3 3.51287 22.4 3.57156 23.5 3.62625 24.5 3.67734 25.5 3.72524 26.5 3.77032
3 2.8 1.23105 5.7 1.76858 8.4 2.12049 11.1 2.37883 13.6 2.58127 16.0 2.74681 18.3 2.88628 20.5 3.00643 22.6 3.11173 24.6 3.20526 26.5 3.28931 28.4 3.36550 30.1 3.43512 31.9 3.49927 33.5 3.55842 35.1 3.61351 36.7 3.66495 38.2 3.71319 39.7 3.75857
4 3.7 1.20621 7.5 1.74989 11.2 2.10522 14.7 2.36571 18.1 2.56964 21.3 2.73626 24.4 2.87656 27.3 2.99737 30.1 3.10321 32.7 3.19720 35.3 3.28163 37.7 3.35815 40.1 3.42805 42.4 3.49246 44.6 3.55183 46.7 3.60712 48.8 3.65875 50.8 3.70715 52.8 3.75268
5 4.6 1.19105 9.3 1.73857 13.9 2.09601 18.4 2.35781 22.6 2.56263 26.6 2.72991 30.4 2.87071 34.0 2.99192 37.5 3.09808 40.8 3.19235 44.0 3.27701 47.1 3.35372 50.1 3.42381 52.9 3.48836 55.7 3.54787 58.4 3.60328 61.0 3.65502 63.5 3.70352 65.9 3.74914
6 5.5 1.18083 11.1 1.73099 16.7 2.08985 22.0 2.35253 27.0 2.55795 31.8 2.72567 36.4 2.86680 40.8 2.98829 45.0 3.09467 49.0 3.18911 52.8 3.27392 56.5 3.35077 60.1 3.42097 63.5 3.48563 66.8 3.54522 70.0 3.60072 73.1 3.65253 76.1 3.70109 79.1 3.74678
7 6.4 1.17348 12.9 1.72555 19.4 2.08543 25.6 2.34875 31.5 2.55460 37.1 2.72203 42.5 2.86401 47.6 2.98568 52.4 3.09222 57.1 3.18679 61.6 3.27142  65.9 3.34866 70.0 3.41894 74.0 3.48368 77.9 3.54333 81.6 3.59888 85.3 3.65075 88.8 3.69936 92.2 3.74509
8 7.2 1.16794 14.8 1.72147 22.1 2.08212 29.2 2.34591 36.0 8.55208 42.4 2.72036 48.5 2.86192 54.3 2.98373 59.9 3.09039 65.2 3.18506 70.3 3.27006 75.2 3.34708 80.0 3.41742 84.6 3.48221 89.1 3.54192 93.3 3.59751 97.4 3.64941 101.4 3.69806 105.3 3.74382
9 8.1 1.16361 16.6 1.71828 24.9 2.07953 32.9 2.34370 40.4 2.55013 47.7 2.71858 54.5 2.86028 61.1 2.98221 67.3 3.08896 73.3 3.18370 79.1 3.26878 84.6 3.34585 90.0 3.41624 95.1 3.48107 100.1 3.54081 104.9 3.59644 109.5 3.64838 114.1 3.69705 118.5 3.74284
10 9.0 1.16014 18.4 1.71573 27.6 2.07746 36.5 2.34192 44.9 2.54856 52.9 2.71717 60.6 2.85898 67.8
2.98100
74.8 3.08781 81.5 3.18262 87.9 3.26775 94.0 3.34486 99.9 3.41529 105.6 3.48016 111.2 3.53993 116.5 3.59559 121.7 3.64755 126.7 3.69625 131.6 3.74205
11 9.9 1.15729 20.2 1.71363 30.4 2.07577 40.1 2.34048 49.4 2.54728 58.2 2.71600 66.6 2.85791 74.6 2.98000 82.2 3.08688 89.6 3.18174 96.6 3.26690 103.4 3.34406 109.9 3.41452 116.2 3.47941 122.3 3.53921 128.1 3.59489 133.8 3.64687 139.4 3.69558 144.7 3.74141
12 10.7 1.15490 22.0 1.71189 33.1 2.07436 43.7 2.33927 53.8 2.54621 63.5 2.71504 72.6 2.85702 81.3 2.97919 89.7 3.08610 97.7 3.18100 105.4 3.26620 112.7 3.34339 119.9 3.411387 126.7 3.47879 133.3 3.53861 139.8 3.59430 146.0 3.64630 152.0 3.69503 157.9 3.74087
13 11.6 1.15289 23.8 1.71041 35.8 2.07316 47.3 2.33824 58.3 2.54530 68.7 2.71422 78.6 2.85627 88.1 2.97847 97.1 3.08544 105.8 3.18037 114.1 3.26561 122.1 3.34282 129.8 3.41333 137.3 3.47826 144.4 3.53810 151.4 3.59381 158.1 3.64582 164.7 3.69457 171.0 3.74041
14 12.5 1.15115 25.7 1.70914 38.6 2.07213 51.0 2.33737 62.8 2.54452 74.0 2.71351 84.7 2.85562  94.9 2.97787 104.6 3.08487 113.9 3.17984 122.9 3.26510 131.5 3.34233 139.8 3.41286 147.8 3.47781 155.5 3.53766 163.0 3.59339 170.3 3.64541 177.3 3.69417 184.2 3.74002
15 13.4 1.14965 27.5 1.70804 41.3 2.07125 54.6 2.33661 67.2 2.54385 79.3 2.71290 90.7 2.85506 101.6 2.97735 112.1 3.08438 122.1 3.17938 131.7 3.26465 140.9 3.34191 149.8 3.41245 158.3 3.47742 166.6 3.53728 174.6 3.59302 182.4 3.64505 190.0 3.69382 197.3 3.73969
16 14.3 1.14833 29.3 1.70708 44.1 2.07047 58.2 2.33594 71.7 2.54326 84.5 2.71237 96.7 2.85457 108.4 2.97689 119.5 3.08395 130.2 3.17897 140.4 3.26427 150.2 3.34154 159.7 3.41210 168.9 3.47707 177.7 3.53695 186.3 3.59270 194.6 3.64474 202.6 3.69351 210.4 3.73939
17 15.1 1.14717 31.1 1.70623 46.8 2.06978 61.8 2.33535 76.2 2.54274 89.8 2.71190 102.8 2.85413 115.1 2.97649 127.0 3.08358 138.3 3.17861 149.2 3.26393 159.6 3.34121 169.7 3.41178 179.4 3.47677 188.8 3.53666 197.9 3.59242 206.7 3.64447 215.2 3.69325 223.6 3.73913
18 16.0 1.14613 32.9 1.70547 49.5 2.06917 65.5 2.33483 80.6 2.54228 95.1 2.71148 108.8 2.85375 121.9 2.97613 134.4 3.08324 146.4 3.17829 157.9 3.26362 169.0 3.34092 179.7 3.41150 190.0 3.47650 199.9 3.53640 209.5 3.59216 218.8 3.64422 227.9 3.69301 236.7 3.73890
19 16.9 1.14520 34.7 1.70480 52.3 2.06862 69.1 2.33436 85.1 2.54187 100.3 2.71111 114.8 2.85341 128.7 2.97581 141.9 3.08294 154.5 3.17801 166.7 3.26335 178.4 3.34066 189.6 3.41125 200.5 3.47626 211.0 3.53617 221.1 3.59194 231.0 3.64400 240.5 3.69280 249.8 3.73869
20 17.8 1.14437 36.5 1.70419 55.0 2.06813 72.7 2.33394 89.6 2.54149 105.6 2.71077 120.9 2.85310 135.4 2.97552 149.3 3.08267 162.7 3.17775 175.5 3.26311 187.8 3.34042 199.6 3.41103 211.0 3.47605 222.1 3.53596 232.8 3.59174 243.1 3.64380 253.2 3.69260 263.0 3.73850
d2 1.12838 1.69257 2.05875 2.32593 2.53441 2.70436 2.8472 2.97003 3.077751 3.17287 3.25846  3.33598 3.40676 3.47193 3.53198 3.58788  3.46006 3.68896  3.735 
cd 0.876 1.815 2.7378 3.623 4.4658  5.2673 6.0305  6.7582  7.4539  8.1207 8.7602  9.3751 9.9679  10.5396  11.0913  11.6259  12.144 12.6468 13.1362