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統(tǒng)計學第四章多個樣本均數(shù)比較的方差分析-wenkub

2023-05-23 23:34:15 本頁面
 

【正文】 1 9 . 8 9 2 4 . 8 93 1 . 0 0 * 6 . 7 7 . 0 0 4 8 . 6 1 5 3 . 3 93 3 . 2 5 * 6 . 7 7 . 0 0 2 1 0 . 8 6 5 5 . 6 41 5 . 0 0 6 . 7 7 . 3 3 6 7 . 3 9 3 7 . 3 9 2 5 . 0 0 * 6 . 7 7 . 0 2 3 4 7 . 3 9 2 . 6 11 7 . 5 0 6 . 7 7 . 1 8 9 4 . 8 9 3 9 . 8 92 7 . 5 0 * 6 . 7 7 . 0 1 1 5 . 1 1 4 9 . 8 95 6 . 0 0 * 6 . 7 7 . 0 0 0 3 3 . 6 1 7 8 . 3 95 8 . 2 5 * 6 . 7 7 . 0 0 0 3 5 . 8 6 8 0 . 6 44 0 . 0 0 * 6 . 7 7 . 0 0 0 1 7 . 6 1 6 2 . 3 92 5 . 0 0 * 6 . 7 7 . 0 2 3 2 . 6 1 4 7 . 3 9( J ) 室溫101520253035515202530355102025303551015253035510152030355101520253551015202530( I ) 室溫5101520253035M e a nD i f f e r e n c e( I J ) S t d . E r r o r S i g . L o w e r B o u n d U p p e r B o u n d9 5 % C o n f i d e n c e In t e r v a lB a s e d o n o b s e r v e d m e a n s .T h e m e a n d i f f e r e n c e i s s i g n i f i c a n t a t t h e . 0 5 l e v e l .*. 92 Tukey檢驗結(jié)果( 2) M u l t i p l e C o m p a ri s o n sD e p e n d e n t V a r ia b le : 血糖濃度T u k e y H S D1 0 . 0 0 6 . 7 7 . 7 5 5 1 2 . 3 9 3 2 . 3 93 8 . 5 0 * 6 . 7 7 . 0 0 0 1 6 . 1 1 6 0 . 8 94 0 . 7 5 * 6 . 7 7 . 0 0 0 1 8 . 3 6 6 3 . 1 42 2 . 5 0 * 6 . 7 7 . 0 4 8 . 1 1 4 4 . 8 97 . 5 0 6 . 7 7 . 9 1 8 1 4 . 8 9 2 9 . 8 9 1 7 . 5 0 6 . 7 7 . 1 8 9 3 9 . 8 9 4 . 8 9 1 0 . 0 0 6 . 7 7 . 7 5 5 3 2 . 3 9 1 2 . 3 92 8 . 5 0 * 6 . 7 7 . 0 0 8 6 . 1 1 5 0 . 8 93 0 . 7 5 * 6 . 7 7 . 0 0 4 8 . 3 6 5 3 . 1 41 2 . 5 0 6 . 7 7 . 5 3 7 9 . 8 9 3 4 . 8 9 2 . 5 0 6 . 7 7 1 . 0 0 0 2 4 . 8 9 1 9 . 8 9 2 7 . 5 0 * 6 . 7 7 . 0 1 1 4 9 . 8 9 5 . 1 1 3 8 . 5 0 * 6 . 7 7 . 0 0 0 6 0 . 8 9 1 6 . 1 1 2 8 . 5 0 * 6 . 7 7 . 0 0 8 5 0 . 8 9 6 . 1 12 . 2 5 6 . 7 7 1 . 0 0 0 2 0 . 1 4 2 4 . 6 4 1 6 . 0 0 6 . 7 7 . 2 6 9 3 8 . 3 9 6 . 3 9 3 1 . 0 0 * 6 . 7 7 . 0 0 4 5 3 . 3 9 8 . 6 1 5 6 . 0 0 * 6 . 7 7 . 0 0 0 7 8 . 3 9 3 3 . 6 1 4 0 . 7 5 * 6 . 7 7 . 0 0 0 6 3 . 1 4 1 8 . 3 6 3 0 . 7 5 * 6 . 7 7 . 0 0 4 5 3 . 1 4 8 . 3 6 2 . 2 5 6 . 7 7 1 . 0 0 0 2 4 . 6 4 2 0 . 1 4 1 8 . 2 5 6 . 7 7 . 1 5 6 4 0 . 6 4 4 . 1 4 3 3 . 2 5 * 6 . 7 7 . 0 0 2 5 5 . 6 4 1 0 . 8 6 5 8 . 2 5 * 6 . 7 7 . 0 0 0 8 0 . 6 4 3 5 . 8 6 2 2 . 5 0 * 6 . 7 7 . 0 4 8 4 4 . 8 9 . 1 1 1 2 . 5 0 6 . 7 7 . 5 3 7 3 4 . 8 9 9 . 8 91 6 . 0 0 6 . 7 7 . 2 6 9 6 . 3 9 3 8 . 3 91 8 . 2 5 6 . 7 7 . 1 5 6 4 . 1 4 4 0 . 6 4 1 5 . 0 0 6 . 7 7 . 3 3 6 3 7 . 3 9 7 . 3 9 4 0 . 0 0 * 6 . 7 7 . 0 0 0 6 2 . 3 9 1 7 . 6 1 7 . 5 0 6 . 7 7 . 9 1 8 2 9 . 8 9 1 4 . 8 92 . 5 0 6 . 7 7 1 . 0 0 0 1 9 . 8 9 2 4 . 8 93 1 . 0 0 * 6 . 7 7 . 0 0 4 8 . 6 1 5 3 . 3 93 3 . 2 5 * 6 . 7 7 . 0 0 2 1 0 . 8 6 5 5 . 6 41 5 . 0 0 6 . 7 7 . 3 3 6 7 . 3 9 3 7 . 3 9 2 5 . 0 0 * 6 . 7 7 . 0 2 3 4 7 . 3 9 2 . 6 11 7 . 5 0 6 . 7 7 . 1 8 9 4 . 8 9 3 9 . 8 92 7 . 5 0 * 6 . 7 7 . 0 1 1 5 . 1 1 4 9 . 8 95 6 . 0 0 * 6 . 7 7 . 0 0 0 3 3 . 6 1 7 8 . 3 95 8 . 2 5 * 6 . 7 7 . 0 0 0 3 5 . 8 6 8 0 . 6 44 0 . 0 0 * 6 . 7 7 . 0 0 0 1 7 . 6 1 6 2 . 3 92 5 . 0 0 * 6 . 7 7 . 0 2 3 2 . 6 1 4 7 . 3 9( J ) 室溫101520253035515202530355102025303551015253035510152030355101520253551015202530( I ) 室溫5101520253035M e a nD i f f e r e n c e( I J ) S t d . E r r o r S i g . L o w e r B o u n d U p p e r B o u n d9 5 % C o n f i d e n c e In t e r v a lB a s e d o n o b s e r v e d m e a n s .T h e m e a n d i f f e r e n c e i s s i g n i f i c a n t a t t h e . 0 5 l e v e l .*. 93 Tukey法的均衡子集表 血糖濃度T u k e y H S Da , b4 8 9 . 2 54 9 1 . 5 04 1 0 7 . 5 0 1 0 7 . 5 04 1 2 0 . 0 0 1 2 0 . 0 04 1 2 2 . 5 0 1 2 2 . 5 04 1 3 0 . 0 0 1 3 0 . 0 04 1 4 7 . 5 0. 1 5 6 . 3 3 6 . 7 5 5 . 1 8 9室溫2015251030535S i g .N 1 2 3 4S u b s e tM e a n s f o r g r o u p s i n h o m o g e n e o u s s u b s e t s a r e d i s p l a y e d .B a s e d o n T y p e II I S u m o f S q u a r e sT h e e r r o r t e r m is M e a n S q u a r e ( E r r o r ) = 9 1 . 7 9 8 .U s e s H a r m o n i c M e a n S a m p l e S i z e = 4 . 0 0 0 .a . A l p h a = . 0 5 .b . 94 三、交叉設(shè)計方差分析的 SPSS ? 例 46 分析 A、 B兩種閃爍液測定血漿中 3HcGMP的交叉試驗結(jié)果。單擊 Continue返回。室溫分七組,家兔分四個種屬,每一種屬七只。當樣本數(shù)為 5時,要作 10次兩兩比較;當樣本數(shù)為 6時,要作 15次兩兩比較 ? 調(diào)整了多重比較時的檢驗水準,是 SPSS統(tǒng)計軟件推薦的方法 58 Bonferroni and Tukey ? The Bonferroni and Tukey?s honestly significant difference tests are monly used multiple parison tests. 59 Bonferroni ? The Bonferroni test, based on Student ?s t statistic, adjusts the observed significance level for the fact that multiple parisons are made. For a small number of pairs, Bonferroni is more powerful. 60 Tukey ? Tukey ?s honestly significant difference test uses the Studentized range statistic to make all pairwise parisons between groups and sets the experimentwise error rate to the error rate for the collection for
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