用spss20进行可重复单因素随机区组、两因素随机区组、两因素裂区试验设计的方差分析

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1、一、可重复单因素随机区组试验设计8个小麦品种的产比试验，采用随机区组设计，3次重复，计产面积25平米，产量结果如下，进行方差分析和多重比较。表1小麦品比试验产量结果（公斤）品种区组产量1110.92110.83111.1419.15111.86110.17110819.3129.12212.33212.54210.75213.96210.67211.58210.41312.223143310.54310.15316.86311.87314.18314.41、打开程序把上述数据输入进去。2、执行：分析

2、-一般线性模型-单变量。3、将产量放进因变量，品种和区组放进固定因子。4、单击模型，选择设定单选框，将品种和区组放进模型中，只分析主效应。5、在两两比较中进行多重比较，这里只用分析品种。可以选择多种比较方法。6、分析结果。主体间效应的检验因变量:产量源III型平方和df均方FSig.校正模型61.641a96.8494.174.009截距3220.16713220.1671962.448.000区组27.561213.7808.398.004品种34.08074.8692.967.040误差22.9

3、72141.641总计3304.78024校正的总计84.61323a.R方=.729（调整R方=.554）这里只须看区组和品种两行，两者均达到显著水平，说明土壤肥力和品种均影响产量结果。下面是多重比较，只有方差分析达到显著差异才进行多重比较。多个比较因变量:产量(I)品种(J)品种均值差值(I-J)标准误差Sig.95%置信区间下限上限LSD1.002.00-1.63331.04591.141-3.8766.60993.00-.63331.04591.555-2.87661.60994.00.76

4、671.04591.476-1.47663.00995.00-3.4333*1.04591.005-5.6766-1.19016.00-.10001.04591.925-2.34332.14337.00-1.13331.04591.297-3.37661.10998.00-.63331.04591.555-2.87661.60992.001.001.63331.04591.141-.60993.87663.001.00001.04591.355-1.24333.24334.002.4000*1.04

5、591.038.15674.64335.00-1.80001.04591.107-4.0433.44336.001.53331.04591.165-.70993.77667.00.50001.04591.640-1.74332.74338.001.00001.04591.355-1.24333.24333.001.00.63331.04591.555-1.60992.87662.00-1.00001.04591.355-3.24331.24334.001.40001.04591.202-.84333

6、.64335.00-2.8000*1.04591.018-5.0433-.55676.00.53331.04591.618-1.70992.77667.00-.50001.04591.640-2.74331.74338.00.00001.045911.000-2.24332.24334.001.00-.76671.04591.476-3.00991.47662.00-2.4000*1.04591.038-4.6433-.15673.00-1.40001.04591.202-3.6433.84335.

7、00-4.2000*1.04591.001-6.4433-1.95676.00-.86671.04591.421-3.10991.37667.00-1.90001.04591.091-4.1433.34338.00-1.40001.04591.202-3.6433.84335.001.003.4333*1.04591.0051.19015.67662.001.80001.04591.107-.44334.04333.002.8000*1.04591.018.55675.04334.004.2000*

8、1.04591.0011.95676.44336.003.3333*1.04591.0071.09015.57667.002.3000*1.04591.045.05674.54338.002.8000*1.04591.018.55675.04336.001.00.10001.04591.925-2.14332.34332.00-1.53331.04591.165-3.7766.70993.00-.53331.04591.618-2.77661.70994.00.866