Final answer:
False. The final F-ratio in the repeated-measures analysis does not have an expected value of 1.00 when the null hypothesis is true.
Step-by-step explanation:
False. The final F-ratio in the repeated-measures analysis does not have an expected value of 1.00 when the null hypothesis is true.
The F-ratio in repeated-measures ANOVA is calculated by dividing the variability between treatment conditions by the variability within treatment conditions. If the null hypothesis is true and there are no treatment effects, the expected value of the F-ratio would be close to 1. However, it is not guaranteed to be exactly 1.
Therefore, the statement is false.