(1) Review Section 12.10 in
Kirk.
(2) Reanalyze data from p. 457, Table
10.6-1 according to a SPF 2.33 design. To start on this problem,
you need to first delete the 5th subject from the data set. Then
divide the remaining 4 subjects evenly into two levels of a
between-subject variable. Finally regard both factors A and B as
two within-subject variables. Thus, you have a balanced SPF p.qr
design, ready to be analyzed by SAS.
(3) Reanalyze Problem 14 of Chapter 10 as
a SPF 2.32 design. In order to have a balanced design, I ask you
to once again delete the 5th subject from the entire data set.
Treat the remaining 4 subjects as blocks of two levels of a
between-subject variable. Treat both factors A and B as two
within-subject variables. In this way, you will be able to handle
the data set as one based on a SPF 2.32 design.
(4) Preview Sections 15.1-15.3 in
Kirk.
