Levene's Test of Equality of Error Variances 方差齐性检验 Dependent variable:血原卟啉 F df1 df2 P<0.05,可认为各格子总体方 3646 280121 Tests the null hypothesis that the error variance of 差不齐同 the dependent variable is equal across groups. a. Design: ntercept+厂别+性别+厂别*性别 方差分析表 Tests of Between-Subjects Effects Dependent variable:血原卟啉 Source of squares Mean square Parameter Power Corected Model 112048.135 522409.627 47462 000237.311 1.000 Intercept 148999409 1148999.409315572 000315572 1.000 厂别 106415.205 253207.603112691 000225381 1.000 性别 588.380 588.380 1.246 274 1.246 厂别*性别 1904.449 952.225 2.017 152 4.034 381 检验效能很大 Error 13220.384 28 472.157 Total 311422.920 Corrected Total.519 a. Computed using alpha =.0 b R Squared=. 894(Adjusted R Squared = 876) ◇因素rP<0.0005,可认为不同厂别之间职工的血原卟啉全不等或不全等 ◇因素性P>0.05,可认为不同性别之间职工的血原卟啉相等 心因素别性P>0.05,可认为厂别与性别之间不存在交互作用Levene's Test of Equality of Error Variancesa Depe ndent Variable: 血原卟啉 3.646 5 2 8 .012 F df1 df2 Sig. Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Design: Intercept+厂 别+性 别+厂 别 * 性 别 Tests of Between-Subjects Effects Dependent Variable: 血原卟啉 112048.135b 5 22409.627 47.462 .000 237.311 1.000 148999.409 1 148999.409 315.572 .000 315.572 1.000 106415.205 2 53207.603 112.691 .000 225.381 1.000 588.380 1 588.380 1.246 .274 1.246 .190 1904.449 2 952.225 2.017 .152 4.034 .381 13220.384 2 8 472.157 311422.920 3 4 125268.519 3 3 Source Corrected Model Intercept 厂 别 性 别 厂 别 * 性 别 Error Total Corrected Total Type III Sum of Squares d f Mean Square F Sig. Noncent. Parameter Observed Powera a. Computed using alpha = .05 b. R Squared = .894 (Adjusted R Squared = .876) 方差齐性检验 方差分析表 P<0.05，可认为各格子总体方 差不齐同 ❖因素厂别P<0.0005，可认为不同厂别之间职工的血原卟啉全不等或不全等 ❖因素性别P>0.05，可认为不同性别之间职工的血原卟啉相等 ❖因素厂别*性别P>0.05，可认为厂别与性别之间不存在交互作用 检 验 效 能 很 大