第六章 方差分析

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第六章 方差分析. 第一节 方差分析的基本原理 第二节 多重比较 第三节 方差分析的基本假定和数据转换. 第一节 方差分析的基本原理. 方差 是平方和除以自由度的商。. 所谓 方差分析 (analysis of variance) , 是关于 k ( k ≥3) 个样本平均数的假设测验方法,是将总变异剖分为各个变异来源的相应部分,从而发现各变异原因在总变异中相对重要程度的一种统计分析方法。. 假设测验的依据是 : 扣除了各种试验原因所引起的变异后的剩余变异提供了试验误差的无偏估计 。. 一、自由度和平方和的分解. - PowerPoint PPT Presentation

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  • (analysis of variance) ,k(k3) :

  • knnk6.16.1 nk

    ( yiji=12kj=1,2n)1y11y12y1jy1nT12y21y22y2jy2nT2iyi1yi2yijyinTikyk1yk2ykjyknTk

  • 6.1nkv = nk1SST61C (62) i

  • (61): 63 =()+ k v =k1 , SSt v =n1 k v = k (n1) , SSe (65) 64

  • 6.1(66) DFT =DFt +DFe :(67)

  • [6.1] ABCD 4A4(cm)6.2 6.2 (cm) (66) DFT=(nk1)=(44)1=15 DFt=(k1)=41=3 DFe=k(n1)=4(41)=12

    Ti A18 21 20 137218B20 24 26 229223C10 15 17 145614D28 27 29 3211629T=336 =21

  • (63)

  • A B

    C

    D

  • FF s12 s22 s12 s22 F68Fs12 v1 s22 v2 F v1 v2 F F

  • F1 =12[0]3 v1 v2 v1=1 v1=2FJ v13(6.1)6.1 Fv1v2

  • F(1)yN( )(2) s12 s22 F F0.05H0

  • [6.2] 310 s12 =1.6211395 s22 =0.1353139 H0139 =0.05v1=9v2 =4F0.05 =6.00 : F =1.621/0.135=12.01 F>F0.05P
  • [6.3] 6.1st2=168.00se2=8.17 v1=3v2=12 =0.05 F0.05=3.49 F =168.00/8.17=20.56 5 v1 =3v2=12 F0.05 =3.49F0.01=5.95F>F0.01>F0.05

  • 6.16.36.36.3

    DFSSMSFF 3504168.0020.56F 0.05(3,12) = 3.49 ()12 98 8.17F 0.01(3,12) =5.9515602

  • multiple comparisonskk(k1)/2 ( q) Duncan

  • (least significant differenceLSD) t 1F 2( )

  • |t| (69)n se2 MSe(69) (610)

  • [6.4] LSD6.2 (6.3)F=20.56MSe=8.17DFe=12 4v =12t0.05 =2.179t0.01=3.055 LSD0.05 =2.1792.02=4.40(cm) LSD0.01=3.0552.02=6.17(cm) 4.40cm6.17cm

  • q qStudent-Newman-KeulSNKNK qk q

  • q(611) (612) 2pkp() SEk1

  • [6.5] 6.2q 6.1 7 qDF=12p=234 (611) 6.46.4 6.2 (q)

    pq0.05q0.01LSR0.05LSR0.0123.084.324.406.1833.775.045.397.2144.205.506.017.87

  • 6.2, =29cm =23cm, =18cm =14cm----

    p=2 =6(cm)5 =5(cm)5 =4(cm)p=3 =11(cm)1 =9(cm)1p=4 =15(cm)1

  • D.B. Duncan(1955)p( shortest significant rangesSSR ) 613 p p

  • [6.6] 6.2 =29cm =23cm =18cm =14cm MSe=8.17 8(613)p=234(6.5)p6.5 6.2LSR()

    pSSR0.05SSR0.01LSR0.05LSR0.0123.084.324.406.1833.234.554.626.5143.334.684.766.69

  • p=2 =6(cm) 5 =5(cm) 5 =4(cm) p=3 =11(cm) 1 =9(cm) 1p=4 =15(cm)1 6.24ACqq

  • () () ()

  • =0.05* =0.01*, =0.056.6()

  • 6.6 6.2()

    ( ) 14 18 23D2915**11**6*B239**5*A184C14

  • () 12k16.20.01(q)

    29cm(D)23cm(B)18cm(A)14cm(C)

  • () 1 2aab() 3bb() bbc

  • 4 5

    =0.05 =0.01

  • 16.7a 2 b 3 c 4 c 416.7[6.7] 6.6

  • 6.7 6.2() 6.7ACDBAC =0.05BADBACDACBC

    (cm)0.050.01D29 a AB23 b ABA18 c BCC14 c C

  • 1 2H0H0

  • 1 2F 3

  • 6.13()6 (1)() (2)() (3)()

  • 3 (1) (additivity) (638)

  • :

  • 6.37(). 6.37

    (lg10)121212A102010201.001.30B304030601.481.78

  • (2) normality . Fkk pp(1p)/n

  • (3)(homogeneity) N(0 ) ( ) ( )

  • 1 2 3

  • ( square root transformation ) poisson y 1

  • ( logarithmic transformation ) ylg y. 10lg(y+1)

  • (arcsine transformation) pp0.7p 12p

  • [6.15] 2 1 2 3 466.38

  • 6.38 (p)

    123%979182857877957772645668937875766371706866495564

  • 6.38p70%126.38p6.39 6.39 ( )

    12380.077.174.756.872.561.362.055.664.958.160.054.367.253.160.744.462.048.452.547.961.355.657.453.1407.9353.6367.3312.168.058.961.252.0

  • 6.39n6.40 6.40 6.39 LSD 6.41

    DFSSMSFF0.05 3 780.48 260.164.573.10 20 1139.58 56.98 23 1920.06

  • 6.41 36.414(1)12.7%(2)9.2%(3)23.9%

    (%) 68.086.0(1)58.99.1*73.3(2)61.26.876.8(3)52.016.0*62.1