哈尔滨医科大学方差分析实验报告.docx

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1、哈尔滨医科大学实验报告程别级名课系班姓:生物统计:生物技术:1班同组人：实验名称：方差分析实验日期：11.30实验报告日期：11.30学号：教师审批签字实验名称：方差分析实验目的：学会使用SPSS进行方差分析实验方法：L例8.1(单因素)单向附注创建的输出注释输入缺失值处理数据活动的数据集过滤器权重拆分文件工作数据文件中的N行缺失定义使用的案例语法资源处理器时间已用时间01-月-2006 02时04分06秒未标题 4.sav数据集1025用户定义的缺失值以缺失对待。每个分析的统计量都基于对于该分析中的任意变量都没有缺失数据的案例。ONEWAY株高BY株号/STATISTICS DESCRIPT

2、IVES EFFECTSHOMOGENEITY/PLOT MEANS/MISSING ANALYSIS/POSTHOC=LSD T2 ALPHA(0.05).00:00:00.40600:00:00.547数据集10 D:1U1U未标题4.sav描述株高N均值标准差标准误均值的95%置信区间极小值极大值下限上限1.00565.3000.60828.2720364.544766.055364.6066.002.00564.4000.63246.2828463.614765.185363.7065.303.00567.3000.86313.3860166.228368.371766.3068.50

3、4.00570.80001.25100.5594669.246772.353369.1072.105.00568.6000.90277.4037367.479169.720967.5069.80总数2567.28002.47757.4955166.257368.302763.7072.10模型固定效应.88261.1765266.911867.6482随机效应1.1477864.093370.4667方差齐性检验株高Levene统计量dfldf2显著性1.362420.282ANOVA株高平方和df均方F显著性组间131.740432.93542.279.000组内15.58020.779总数

4、147.32024在此之后检验因变量:株高多重比较(I)株号(J)株号均值差(I-J)标准误显著性95%置信区间下限上限LSD1.002.00.90000.55821.12326442.06443.00-2.00000,.55821.002-3.1644-.8356.4.00-5.5OOOO.55821.000-6.6644-4.33565.00-3.3OOOO.55821.000-4.4644-2.13562.001.00-.90000.55821.123-2.0644.26443.00-2.90000,.55821.000-4.0644-1.7356.4.00-6.40000,.55821

5、.000-7.5644-5.23565.00-4.20000,.55821.000-5.3644-3.03563.001.002.00000,.55821.002.83563.16442.002.90000,.55821.0001.73564.0644.4.00-3.5OOOO.55821.000-4.6644-2.33565.00-1.30000,.55821.030-2.4644-.13564.001.005.50000,.55821.0004.33566.66442.006.40000,.55821.0005.23567.5644.3.003.50000,.55821.0002.3356

6、4.66445.002.200001.55821.0011.03563.36445.001.003.30000,.55821.0002.13564.46442.004.20000,.55821.0003.03565.3644.3.001.30000,.55821.030.13562.46444.00-2.20000,.55821.001-3.3644-1.0356Tamhane1.002.00.90000.39243.40859842.39843.00-2.00000,.47223.036-3.8745-.1255.4.00-5.5OOOO.62209.001-8.2200-2.78005.0

7、0-3.3OOOO.48683.003-5.2515-1.34852.001.00-.90000.39243.408-2.3984.59843.00-2.90000,.47854.004-4.7847-1.0153.4.00-6.40000,.62690.001-9.1110-3.68905.00-4.20000,.49295.001-6.1592-2.24083.001.002.00000,.47223.036.12553.87452.002.90000,.47854.0041.01534.7847.4.00-3.5OOOO.67971.013-6.2103-.78975.001.30000

8、.55857.391-3.4332.83324.001.005.50000,.62209.0012.78008.2200.2.006.40000,.62690.0013.68909.11103.003.50000,.67971.013.78976.21035.002.20000.68993.136-.52544.92545.001.003.30000,.48683.0031.34855.2515_ 2,004.20000,.49295.0012.24086.1592.3.001.30000.55857.391-.83323.43324.00-2.20000.68993.136-4.9254.5

9、254*.均值差的显著性水平为0.05。显著性=()0(),所以不同品系小麦株高差异显著2,例92 (两因素不可重复)数据集7两因suwu.sav主体间因子N施肥量 1.002.003.004.00密度1.002.003.004.0044444444描述性统计量因变量:产量施肥量密度均值标准偏差N1.001.00546.000012.00600.000013.00548.000014.00551.00001总计561.250025.9149242.001.00578.000012.00703.000013.00682.000014.00690.00001总计663.250057.4884043

10、.001.00813.000012.00861.000013.00815.000014.00831.00001总计830.000022.1810744.001.00815.000012.00854.000013.00852.000014.00853.00001总计843.500019.017544总计 1.00688.0000146.0798942.00754.5000126.1810943.00724.2500138.3290244.00731.2500140.195994总计724.5000125.7680416误差方差等同性的Levene检验,因变量:产量Fdfldf2Sig.150检验

11、零假设，即在所有组中因变量的误差方差均相等。a.设计：截距+施肥量+密度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231885.000,638647.50064.664.000截距8398404.00018398404.00014051.987.000施肥量222773.500374257.833124.246.000密度9111.50033037.1675.082.025误差5379.0009597.667总计8635668.00016校正的总计237264.00015a. R 方二.977 （调整 R 方二.962）估算边际均值1.施肥量估计因变量:产量施肥量均值标准误差95%置信区间卜限上限1.00561.25012.224533.598588.902