基于大数据背景的相关系数研究

Research on Correlation Coefficient Based on Big Data Background

随着信息技术的发展,我们迎来了大数据时代,许多领域都出现了海量的数据.探求纷繁复杂的数据之间的相关关系比寻找因果关系更受关注,而统计学中的相关系数正是用来描述两个变量之间相关关系的指标.文章先给出相关系数的由来以及在概率论中的定义和性质,再推导出统计学中常见的2个计算相关系数的公式,最后举例计算以提高对相关系数的理解以及应用的能力.

With the development of information technology,people ushered in the era of big data and there are many areas of massive data.The correlation between the complicated data is more concerned than looking for causality while the statistics of the correlation coefficient is used to describe the relationship between two variables.The paper first gives the origin of correlation coefficient and its definition and characteristics in probability theory,and then it deduces several common formulas for calculating correlation coefficient.Finally it gives examples of calculation to improve the understanding of this concept and applicable ability.Theory and practice are combined closely in this way.