Design a full-factorial experiment.* Use one response and at least 2 factors, each factor with at least 2 levels.
a. Describe the response and factor variables (e.g., what type of data are they, what are their levels or value ranges).
b. What is the unit of observation?
c. Describe the population, the sampling technique (how will you ensure random selection of units), and the sample and cell (treatment combinations) sizes.
d. Will you have replications or repetitions?
e. Are there any blocking factors?
f. Graphically show the design and explain it (similar to pages VII 81-86).
g. How will you ensure random assignment of units to the treatment groups?
h. How will you ensure random order of experimental runs?
i. What are the environmental or noise factors?
Here we are designing 24 full factorial experiment.
Here, Response = 0 and 1
factor variables = A, B, C, D
Example :- suppose our experiment is to determine the effect of a special diet and drug on cholesterol level.
=> let , A = drug effect
B = special diet
hence we are havinf 4 possible combination.
A0B0 = A group without drug and without diet.
A1B0= A group with drug and without diet.
A0B1=A group without drug and with diet.
A1B1=A group with drug and with diet.
a) here response = 0 and 1 and factor A anb B
c) the sample selection is simple random sampling with replications. the 2 treatments are A and B.
the treatment combinations are 4.
d) we have replications. we are using SRS with repitation.
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