The variance ratio is simply the ratio of the larger variance divided by the smaller variance. If the variances are significantly different then ithis means that the variability of scores is different for the two samples. It's called F-ratio because this statistic is distributed like the F-distribution.
 
Once the data have been entered, click Analyze > Compare Means > One-way ANOVA.... A window will appear with a list of variables on the left and boxes labeled "Dependent List" and "Factor" on the right. Transfer the dependent variable (the variable for which means are to be computed) into the "Dependent List" box and the independent variable (the variable used as the grouping variable) into the "Factor" box. Next, click Define Range... and enter the minimum and maximum for the grouping variable. This may seem like an unnecessary step but it allows the researcher to exclude extreme values of the grouping variable. This could be desirable because too few participants were in one of the categories or a category had a label such as "Does Not Apply" or "Don't Know" in which the researcher was not interested. Once the range has been defined, click Continue. Finally, click OK to cause the analysis to be computed.