First of all, the essence of the two is different:

1, the essence of difference analysis: in statistics, the difference significance test is a statistical hypothesis test, which is used to detect whether there is a difference between the experimental group and the control group in scientific experiments and whether the difference is significant.

2. The essence of correlation analysis: looking for frequent patterns, associations, correlations or causal structures between item sets or object sets in transaction data, relational data or other information carriers.

Second, they have different purposes:

1. The purpose of difference analysis is to compare whether the difference between two or more samples is significant.

2. Application of association analysis: it is used to discover the relationship between different commodities (articles) in the transaction database.

Third, the requirements of the two are different:

1. Requirements of difference analysis: Although the influence of random errors is eliminated as much as possible in the experiment process to highlight the treatment effect of the experiment, the final observation result of the experimental results includes the treatment effect of the experimental errors due to the inevitable differences among individuals and many uncontrollable factors.

2. Requirements of correlation analysis: it is necessary to find interesting associations and related connections between the project sets from a large number of data. A typical example of correlation analysis is shopping basket analysis. This process analyzes customers' buying habits by discovering the connections between different goods that customers put into the shopping basket.

By knowing which goods are frequently purchased by customers at the same time, the discovery of this correlation can help retailers to formulate marketing strategies. Other applications include price list design, product promotion, product launch and customer segmentation based on purchase mode.

Baidu Encyclopedia-Correlation Analysis

Baidu encyclopedia-difference significance test