The F-Test Calculator determines whether two samples have significantly different variances. It computes the F-value by dividing the variance of one sample by the variance of another, providing a ratio that helps assess variability between groups. The resulting F-value is compared to a critical value from the F-distribution table to decide whether the difference in variances is statistically significant, commonly used in ANOVA and hypothesis testing.