Introduction - If you have any usage issues, please Google them yourself
difference between the significance test and the assumptions we do on the whole is purely an opportunity variation, or is it caused by the disagreement between the assumptions we do and the overall reality. The significance test is to test the assumptions we do on the whole, and the principle is to accept or deny the hypothesis, "the principle of the actual impossibility of small probability events". Sampling experiments will produce sampling errors. When comparing and analyzing the experimental data, we can not make a conclusion only on the basis of the difference between the two results (average or rate), but to make statistical analysis to identify whether the difference between the two is caused by the sampling error or by the specific experimental department.