For an independent-measures two-factor experiment,the bigger the differences between the sample means,the more likely it is that at least one of the F-ratios will be significant.

Question

Quizplus · Accepted Answer

In an independent-measures two-factor experiment, the F-ratios are used to test for the significance of the main effects and interaction effects of the two factors. If there are larger differences between the sample means, then the variability due to the effect of the factors is also larger, which increases the F-ratio and makes it more likely to be significant. Therefore, the statement is true.

For an Independent-Measures Two-Factor Experiment,the Bigger the Differences Between the Sample