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1、習(xí)題三3-7（1）金球SAS處理結(jié)果：SampleStatisticsforxNMeanStd.Dev.Std.Error-------------------------------------------------66.680.000.00HypothesisTestNullhypothesis:Meanofx=0Alternative:Meanofx^=0tStatisticDfProb>t---------------------------------4228.3445<.000190%ConfidenceIntervalfortheMeanLower
2、Limit:6.67UpperLimit:6.68由運(yùn)行結(jié)果可知，μ的置信度為0.9的置信區(qū)間（6.67，6.68）。SampleStatisticsforxNMeanStd.Dev.Variance---------------------------------------------66.67820.003915E-6HypothesisTestNullhypothesis:Varianceofx=1Alternative:Varianceofx^=1Chi-squareDfProb---------------------------------0.000
3、5<.000190%ConfidenceIntervalfortheVarianceLowerLimitUpperLimit----------------------676E-80.0001由運(yùn)行結(jié)果可知，σ2的置信度為0.9的置信區(qū)間（676E-8，0.0001）。（2）鉑球SAS處理結(jié)果：SampleStatisticsforxNMeanStd.Dev.Std.Error-------------------------------------------------56.660.000.00HypothesisTestNullhypothesis:Mean
4、ofx=0Alternative:Meanofx^=0tStatisticDfProb>t---------------------------------4967.0524<.000190%ConfidenceIntervalfortheMeanLowerLimit:6.66UpperLimit:6.67由運(yùn)行結(jié)果可知，μ置信度為0.9的的置信區(qū)間（6.66，6.67）。SampleStatisticsforxNMeanStd.Dev.Variance---------------------------------------------56.6640.003
5、9E-6HypothesisTestNullhypothesis:Varianceofx=1Alternative:Varianceofx^=1Chi-squareDfProb---------------------------------0.0004<.000190%ConfidenceIntervalfortheVarianceLowerLimitUpperLimit----------------------379E-8507E-7由運(yùn)行結(jié)果可知，σ的置信度為0.9的置信區(qū)間（379E-8，507E-7）。3-10SAS處理結(jié)果：SampleStatist
6、icsforxNMeanStd.Dev.Std.Error-------------------------------------------------53.250.010.01HypothesisTestNullhypothesis:Meanofx=3.25Alternative:Meanofx^=3.25tStatisticDfProb>t---------------------------------0.34340.7489說(shuō)明：因?yàn)樵趖檢驗(yàn)中，p-value值0.7489>0.01(顯著性水平)，所以接受原假設(shè)，即這批礦砂的鎳含量的均值為3.25。3
7、-13SAS處理結(jié)果：SampleStatisticsGroupNMeanStd.Dev.Std.Error----------------------------------------------------x80.2318750.01460.0051y100.20970.00970.0031HypothesisTestNullhypothesis:Mean1-Mean2=0Alternative:Mean1-Mean2^=0IfVariancesAretstatisticDfPr>t--------------------------------------
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