2.F value is the statistical value of F test. F-test is the test that the statistical value obeys the F-distribution under the null hypothesis (H0). It is usually used to analyze a statistical model with multiple parameters to judge whether all or part of the parameters in the model are suitable for estimating the population.
3.p value is probability, which reflects the possibility of an event. According to the significance test method, the statistically obtained P value is generally P.
Extended data:
F value and T value are statistical values of F test and T test, and their corresponding probability distributions are F distribution and T distribution.
Statistical significance is the probability of the current sample results. The value of p represents the reliability of the result. The greater the p value, the less reliable the correlation of variables in the sample. P value is the error probability that the observation results are considered valid, that is, it is generally representative. For example, p=0.05, indicating that 5% of the variables in the sample may be caused by accident.
References:
Baidu Encyclopedia-P Value in Hypothesis Test
Baidu encyclopedia -F test
Baidu encyclopedia -T test