偏倚及线性(MSA-分析).pdf

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1、偏倚及线性分析报告量具名称产品类型测试日期EquipmentNameDescriptionTestTate参数量具编号测量人员SpecificatioEquipmentNO.Operatorn试验次数零件编号PartsNO.TestNum.1234512.74.25.87.69.122.54.45.77.79.332.44.15.97.89.542.53.95.97.79.352.7467.89.462.34.16.17.89.572.53.867.89.582.53.96.17.79.592.446.47.89.6102.

2、446.37.59.2112.64.167.69.3122.44.36.17.79.4参考值246810零件均值2.4916666674.0666666676.0257.7083333339.383333333基准均值66666偏倚0.4916666670.0666666670.025-0.291666667-0.616666667d2*3.350163.350163.350163.350163.35016d23.258463.258463.258463.258463.25846标准差δr0.1193972830.17909

3、59240.2089452440.0895479620.149246603δb0.0344670270.051700540.0603172970.025850270.043083783统计的t值14.264841361.2894771850.41447481-11.28292537-14.31319676df9.09.09.09.09.0显著t值2.2622.2622.2622.2622.262偏倚置信区间下限0.415836281-0.047078912-0.107703175-0.348539456-0.71145464

4、9偏倚置信区间上限0.5674970520.1804122450.157703175-0.234793877-0.521878685线性置信区间下限0.3756645360.13993689-0.1079176-0.37506311-0.654335464线性置信区间上限0.5243354640.24506311-0.0220824-0.26993689-0.505664536偏倚与基准值的散布图如图所示，最佳拟合这些点的线性回归直线为：y=b+ax式中x=基准值；y=偏倚；a=斜率(slope)a(intercept)bR

5、2St∣t∣∣t∣58.95ab-0.12880.70750.95950.16612.001716.984614.0705线性图1偏倚0-1量程判定Decide偏移Bias:口Pass口Fail判定Decide线性Linearity:口Pass口Fail