SPSS数据分析课程中随机化过程实现方法研究

Research on the Implementation of the Randomized Process Based on SPSS in Data Analysis Course

数据分析课程是一门实践性较强的课程,文章针对数据分析的随机化过程实现进行探讨。首先,详细分析了随机数种子的设定方法,并设计一组实验来验证随机数种子对于重现性现象的决定作用;提出随机抽样和随机分组的设计方案,通过实验操作说明每种实验方案的实现过程。随机化过程可以避免数据的偏性,并保证样本具有良好的代表性和组间均衡性。

Data analysis course is a highly practical course,and the realization of the randomization process in data analysis is discussed in detail in this paper. First of all,a detailed analysis of the random number seed setting method is investigated,and a set of experiments are designed,which demonstrate the way that random number seed reproduces the phenomenon in statistics. Furthermore,design schemes of two kinds of random processes are proposed,which are random sampling and random grouping. Through experimental manipulations,the implementation process of each experimental scheme is illustrated. The randomization process can avoid the bias of the data,and ensure that the sample has good representation and the balance between groups.