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ID:1509889
大小:501.50 KB
页数:24页
时间:2017-11-12
《试验设计与数据处理课后作业》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、习题三3-7(1)金球SAS处理结果:SampleStatisticsforxNMeanStd.Dev.Std.Error-------------------------------------------------66.680.000.00HypothesisTestNullhypothesis:Meanofx=0Alternative:Meanofx^=0tStatisticDfProb>t---------------------------------4228.3445<.000190%ConfidenceIntervalfortheMeanLowerLimit:6.67Upper
2、Limit:6.68由运行结果可知,μ的置信度为0.9的置信区间(6.67,6.68)。SampleStatisticsforxNMeanStd.Dev.Variance---------------------------------------------66.67820.003915E-6HypothesisTestNullhypothesis:Varianceofx=1Alternative:Varianceofx^=1Chi-squareDfProb---------------------------------0.0005<.000190%ConfidenceIntervalfo
3、rtheVarianceLowerLimitUpperLimit----------------------676E-80.0001由运行结果可知,σ2的置信度为0.9的置信区间(676E-8,0.0001)。(2)铂球SAS处理结果:SampleStatisticsforxNMeanStd.Dev.Std.Error-------------------------------------------------56.660.000.00HypothesisTestNullhypothesis:Meanofx=0Alternative:Meanofx^=0tStatisticDfProb>t
4、---------------------------------4967.0524<.000190%ConfidenceIntervalfortheMeanLowerLimit:6.66UpperLimit:6.67由运行结果可知,μ置信度为0.9的的置信区间(6.66,6.67)。SampleStatisticsforxNMeanStd.Dev.Variance---------------------------------------------56.6640.0039E-6HypothesisTestNullhypothesis:Varianceofx=1Alternative:Va
5、rianceofx^=1Chi-squareDfProb---------------------------------0.0004<.000190%ConfidenceIntervalfortheVarianceLowerLimitUpperLimit----------------------379E-8507E-7由运行结果可知,σ的置信度为0.9的置信区间(379E-8,507E-7)。3-10SAS处理结果:SampleStatisticsforxNMeanStd.Dev.Std.Error----------------------------------------------
6、---53.250.010.01HypothesisTestNullhypothesis:Meanofx=3.25Alternative:Meanofx^=3.25tStatisticDfProb>t---------------------------------0.34340.7489说明:因为在t检验中,p-value值0.7489>0.01(显著性水平),所以接受原假设,即这批矿砂的镍含量的均值为3.25。3-13SAS处理结果:SampleStatisticsGroupNMeanStd.Dev.Std.Error------------------------------------
7、----------------x80.2318750.01460.0051y100.20970.00970.0031HypothesisTestNullhypothesis:Mean1-Mean2=0Alternative:Mean1-Mean2^=0IfVariancesAretstatisticDfPr>t-------------------------------------------
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