Answer:
Explanation:
It may affect the result of the study, having a large samples will enable the researcher have enough variations that may occur among the sample, reduction in the number of children will reduce the amount of variation the is needed in the experiment. A large sample with adequate variations help to minimize error that could occur considering small samples but when a sample is small a it doesn't consider all possible effect the result may be bias.
Reduced sample size may not be enough to represent an experimental units hence there maybe need to revisit the experiment again when adequate samples size is available. It was more time
Answer:
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