1, the statistical significance is that variables are described by statistics, while mathematical statistics describe random variables. Variables and random variables are two different and related mathematics, which can be transformed into each other under certain conditions.

2. Statistics is a branch of applied mathematics. It mainly uses probability theory to establish mathematical model, collect data of observation system, make quantitative analysis and summary, and then infer and predict, providing basis and reference for relevant decision-making.

3. It is widely used in various disciplines, from physics, social sciences to humanities, and even in industrial and commercial and government information decision-making.

4. Statistics are mainly divided into descriptive statistics and inferential statistics. Given a set of data, statistics can summarize and describe these data. This usage is called descriptive statistics.

5. The observer establishes a mathematical model to explain the randomness and uncertainty of the data, thus inferring the steps and matrices in the research. This usage is called inferential statistic.

6. The difference is statistically significant. When there are vertical differences between the data, it means that the data involved in the comparison are not from the same population, but from two different populations with differences. This difference may be due to the fact that the data involved in the comparison come from different experimental subjects.

For example, in some general ability tests, there will be significant differences between the subjects with college education and those with primary education. It may also come from the fact that the experimental treatment has caused fundamental personality changes to the experimental subjects, so the data before and after the test will be obviously different.