F Ratio Spss. If the p value is less than or equal your α level then you can reject h 0 that all the means are equal. If the null hypothesis is true you expect f to have a value close to 1 0 most of the time.
The f ratio is the ratio of two mean square values. F ms between groups ms within groups. This will be enough for majority of research done in spss.
If the null hypothesis is true you expect f to have a value close to 1 0 most of the time.
A large f ratio means that the variation among group means is more than you d expect to see by chance. 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. This will be enough for majority of research done in spss.
