How is the partitioning of the sum of squares for the Repeated Measures (RM) Des

Question

How is the partitioning of the sum of squares for the Repeated Measures (RM) Design different from that of the Completely Randomized (CR) Design? Select all that are true

a. The RM design detects treatment effects within subjects, and the CR design detects treatment effects between subjects.

b. The RM design detects treatment effects between subjects, and the CR design detects treatment effects within subjects.

c. In the RM design, the variability due to the error is partitioned out of the sums of squares between subjects.

d. In the RM design, the variability due to the error is partitioned out of the sums of squares within subjects

Explanation / Answer

as we know that Repeated measures design uses the same subjects with in every branch

option a) The RM design detects treatment effects within subjects, and the CR design detects treatment effects between subjects.

is correct

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