The value of p indicates the degree of not rejecting the original hypothesis. In short, P
R value is a goodness of fit index, which is used to evaluate the fitting quality of the model. The range of values is-1, 1, and the closer to plus or minus 1, the better. R squared =SSR/SST. Where SSR is the sum of regression squares and SST is the sum of total deviation squares.
P value is an index to measure the difference between the control group and the experimental group. P value is less than 0.05, which means that the difference between the two groups is significant, which means that the difference between the two groups is extremely significant. You can use SPSS statistics. According to the independent variable should be the sex of Drosophila, the dependent variable should be the life span, the independent variable is the nominal variable, and the dependent variable is the continuous variable, so the result can be obtained by one-way ANOVA.
In addition, in statistical interpretation, generally do not look at the F value, only need to look at the P value. But when writing a paper, you should write out the F value and put the P value in brackets.
Extended data:
F-test is very sensitive to the normality of data, so the robustness of Levene test, Bartlett test or Brown-Forsythe test is better than F-test when testing the homogeneity of variance. ?
F-test can also be used to compare the mean values between three or more groups, but if the tested data cannot meet the conditions of normal distribution, the robustness of the data will be greatly reduced, especially when the significance level is low. However, if the data conforms to the normal distribution and the alpha value is at least 0.05, the robust test is quite reliable.
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