Correct Answer

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a) The hypotheses would have to be worded in terms of treatment means or proportions rather than population means or proportions.
b) For experiments, the individuals or objects must be randomly assigned to treatments, whereas in testing hypotheses using data from sampling, the samples must be randomly selected. For experiments, the number of individuals in the treatment groups must be large or the distributions of the response variable would need to be approximately normal in very large treatment groups.For data from sampling, the assumption is that the samples are large or the population distributions are approximately normal.
c) Conclusions would need to be worded in terms of treatment means or proportions. If random sampling from a population preceded the random assignment to treatments, it would be reasonable to generalize the conclusions about treatment effects to the population.