基于SPSS的拉伸法测量金属丝杨氏弹性模量实验数据处理

Experimental Data Processing for Determination of Young’s Elastic Modulus of Wire Based on SPSS

结合数理统计的方法,利用SPSS软件对拉伸法测量金属丝杨氏弹性模量实验数据进行二段最小平方法分析,建立预测模型,求得金属丝杨氏模量的值,并将计算结果与逐差法求得的金属丝杨氏模量值进行比较,计算结果比逐差法求得的值更接近金属丝杨氏模量公认值。研究结果表明:借助SPSS软件处理实验数据的方法,使数据处理更加简便,且得出结果更加接近公认值。希望这种SPSS统计软件分析处理数据的方法,能对物理实验教学和实验数据处理提供帮助。

The prediction model is established,and the value of the young’s modulus obtained,based on the method of mathematical statistics,using SPSS software for tensile young’s modulus measuring wire experiment data to analysis by the second period of least square method.By wire and metal wire with obtained through“gradual deduction method”young’s modulus value comparison results than that through“gradual deduction method”the value of the young’s modulus recognized values closer to the wire.The research results show that the data processing method of using SPSS software for university physics experiment data is more convenient,and the results are closer to the accepted value.It is hoped that this method of SPSS statistical software for data analysis and processing can provide help for physics experiment teaching and experimental data processing.