Multiple Choice
Why is it important to be cautious when judging the results of an experiment comparing extremely different treatments to one another?
A) The effect may not scale linearly, so smaller treatment differences may have no effect.
B) The effect observed may be not replicable if the experiment is performed again.
C) The effect seen may not be due to the extreme treatment used but due to some other factor instead.
D) The effect when doing an extreme experiment will always be unrealistic.
Correct Answer:

Verified
Correct Answer:
Verified
Q44: Consider a study in which we
Q45: If we do four statistical tests in
Q46: Compare and contrast "balancing" and "blocking" with
Q47: Estimating the required sample size for an
Q48: Using the Bonferroni correction reduces our overall
Q50: Consider a study in which we
Q51: For a given total sample size, a
Q52: If the DNA sequences of a bunch
Q53: If we do four statistical tests in
Q54: Experiments with two treatments per block are