What is the statistical hypothesis in hypothesis testing?

1. According to complexity:

(1) Descriptive hypothesis. It is a description of the general outline and external appearance of an object. The purpose is to provide people with some speculation about the external relations and approximate quantitative relations of things, such as the study of "the influence of educational development on the change of population birth rate"

(2) explanatory hypothesis. Reveal the internal relations of things to explain the reasons for things.

(3) Predictive assumptions. It is a scientific speculation about the future development trend of things. This kind of speculation can't be put forward without a deeper and more comprehensive understanding of real things.

2. According to the changing direction of the variable relationship in the hypothesis:

(1) Conditional hypothesis. It refers to the assumption that two variables have a conditional relationship, and the standard logical sentence pattern of "If …………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………" is adopted in the expression.

(2) Differential assumption. It means that there is a difference relationship between two variables in the hypothesis to a certain extent.

(3) functional assumption. It means that there is a causal relationship between two variables in the hypothesis and it is expressed in mathematical form, that is, Y=f(x).

3. According to the nature of assumptions:

(1) General assumptions. It is a hypothesis to infer the relationship between general categories, pointing to universal, abstract and generalizable examples.

(2) specific assumptions. It is a hypothesis to infer the relationship between specific objects, pointing to individual, specific and concrete examples.

(3) nothingness hypothesis. Also known as statistical hypothesis, it is a hypothesis that infers a non-existent and non-inclined relationship, pointing to neutral, undifferentiated and undifferentiated cases.

The original intention of nihility hypothesis is to deny oneself through the test of facts. When nihility hypothesis is denied, the tendency of the result is obviously revealed.

3. According to the tendency of the hypothesis in expressing the relationship between variables:

(1) Directional hypothesis. Indicate the expected direction of the hypothetical results in the statement, and point out the characteristics and tendencies of the differences between variables.

(2) non-directional hypothesis. In the statement, the expected direction of the hypothetical results is not prompted, but the differences between variables are expected to be revealed by collecting data and testing the results, which are often expressed by nihilistic assumptions.