用spss20進(jìn)行可重復(fù)單因素隨機(jī)區(qū)組、兩因素隨機(jī)區(qū)組、兩因素裂區(qū)試驗設(shè)計的方差分析

《用spss20進(jìn)行可重復(fù)單因素隨機(jī)區(qū)組、兩因素隨機(jī)區(qū)組、兩因素裂區(qū)試驗設(shè)計的方差分析》由會員上傳分享，免費在線閱讀，更多相關(guān)內(nèi)容在行業(yè)資料-天天文庫。

1、一、可重復(fù)單因素隨機(jī)區(qū)組試驗設(shè)計8個小麥品種的產(chǎn)比試驗，采用隨機(jī)區(qū)組設(shè)計，3次重復(fù)，計產(chǎn)面積25平米，產(chǎn)量結(jié)果如下，進(jìn)行方差分析和多重比較。表1小麥品比試驗產(chǎn)量結(jié)果（公斤）品種區(qū)組產(chǎn)量1110.92110.83111.1419.15111.86110.17110819.3129.12212.33212.54210.75213.96210.67211.58210.41312.223143310.54310.15316.86311.87314.18314.41、打開程序把上述數(shù)據(jù)輸入進(jìn)去。2、執(zhí)行：分析-一般線性模型-單變量。3、將產(chǎn)量放進(jìn)因變量，品種和區(qū)組放進(jìn)固定因子。

2、4、單擊模型，選擇設(shè)定單選框，將品種和區(qū)組放進(jìn)模型中，只分析主效應(yīng)。5、在兩兩比較中進(jìn)行多重比較，這里只用分析品種?？梢赃x擇多種比較方法。6、分析結(jié)果。主體間效應(yīng)的檢驗因變量:產(chǎn)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區(qū)組27.561213.7808.398.004品種34.08074.8692.967.040誤差22.972141.641總計3304.78024校正的總計84.61323a.R方=.729（調(diào)整R方=.554）這里只須看區(qū)組和品種兩行，兩者均

3、達(dá)到顯著水平，說明土壤肥力和品種均影響產(chǎn)量結(jié)果。下面是多重比較，只有方差分析達(dá)到顯著差異才進(jìn)行多重比較。多個比較因變量:產(chǎn)量(I)品種(J)品種均值差值(I-J)標(biāo)準(zhǔn)誤差Sig.95%置信區(qū)間下限上限LSD1.002.00-1.63331.04591.141-3.8766.60993.00-.63331.04591.555-2.87661.60994.00.76671.04591.476-1.47663.00995.00-3.4333*1.04591.005-5.6766-1.19016.00-.10001.04591.925-2.34332.14337.00-1.1

4、3331.04591.297-3.37661.10998.00-.63331.04591.555-2.87661.60992.001.001.63331.04591.141-.60993.87663.001.00001.04591.355-1.24333.24334.002.4000*1.04591.038.15674.64335.00-1.80001.04591.107-4.0433.44336.001.53331.04591.165-.70993.77667.00.50001.04591.640-1.74332.74338.001.00001.04591.355-

5、1.24333.24333.001.00.63331.04591.555-1.60992.87662.00-1.00001.04591.355-3.24331.24334.001.40001.04591.202-.84333.64335.00-2.8000*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

6、.47662.00-2.4000*1.04591.038-4.6433-.15673.00-1.40001.04591.202-3.6433.84335.00-4.2000*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.

7、002.8000*1.04591.018.55675.04334.004.2000*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