Dependent variable should be life span, independent variable is nominal variable, and dependent variable is continuous variable, so one-way ANOVA can be used to get the result.

P value is an index to measure the difference between the control group and the experimental group. * indicates that the P value is less than 0.05, indicating that the difference between the two groups is significant, indicating that the P value is less than 0.0 1, indicating that the difference between the two groups is extremely significant. This can be counted by SPSS.

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.

The f value is compared with the f value of the invisible table. If the calculated F value is greater than the F value of the invisible table, it means that the P value is statistically significant and the influencing factors are statistically significant. On the other hand, it shows that the P value is not statistically significant, so this influencing factor is not statistically significant.