F Ratio Spss. If the null hypothesis is true you expect f to have a value close to 1 0 most of the time. However back to your question f value in anova for example is the following proportion.
You are looking at whether you have more variation between your groups instead of within your groups. The f ratio is the ratio of two mean square values. The final column gives the significance of the f ratio.
This will be enough for majority of research done in spss.
F value variation between sample groups variation within sample groups. You are looking at whether you have more variation between your groups instead of within your groups. It is calculated by dividing mean square between groups by mean square within groups. The final column gives the significance of the f ratio.
