Hypothesis TestingIt is a method for testing statistical hypotheses, mainly used in inferential statistics, where "statistical hypothesis" is a scientific hypothesis tested, mainly by observing the model of random variables. Under the premise that the unknown parameters can be estimated, appropriate inferences can be made about the unknown parameter values based on the results.

In statistics, a hypothesis about a parameter is a statement about one or more parameters, of which the null hypothesis is the one that needs to be tested for correctness. The null hypothesis is usually determined by the researcher and reflects the researcher's view on the unknown parameter. The other parameter statements are alternative hypotheses, which usually reflect the researcher's opposing views on the possible values of the parameter.

The main types of hypothesis testing are as follows:

• T-test
• Z-test
• Chi-square test
• F-test