Answer :
Final answer:
In experimental design, random assignment helps ensure equivalence between groups, and the large counts condition may justify normality. Furthermore, the 10% condition does not apply to experiments as it does to sampling distributions.
Explanation:
When discussing the random assignment of volunteers in experimental design, a few key conditions and assumptions are often considered. One such assumption in statistics is the normality condition, which may apply if we are dealing with large enough samples (large counts condition). With 100 volunteers, if each group is sufficiently large, it suggests that the distribution of the outcomes should be normal by the Central Limit Theorem. Another relevant consideration is that in the context of experimental design, the 10% condition typically used in sampling distributions (not to sample more than 10% of the population) does not apply because the focus is on controlling variables and randomizing groups rather than representing a population.
