The hypothesis in hypothesis testin

The hypothesis in hypothesis testing does not refer to the abstract level of theoretical hypothesis, but refers to the empirical level that is connected with the sampling method and depends on the sampling data for verification, that is, the statistical hypothesis. Hypothesis testing is to first make a hypothesis on a certain parameter of the population, and then use the statistics of the sample to verify it to determine whether the hypothesis is acceptable to the population. Hypothesis testing is based on the small probability principle of "a small probability event cannot occur in one observation" in probability theory. The steps include establishing a null hypothesis and research hypothesis, and then selecting an appropriate level of significance (that is, the size of the probability) according to the needs. ), calculate the statistical value based on the sample data, find the corresponding critical value based on the significance level, compare the critical value with the statistical value, if the critical value is greater than the absolute value of the statistical value, accept the null hypothesis, otherwise, accept the research Hypothesis.