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Suppose you are designing an experiment to test the effects of nicotine on the heart rate of rats. What are the disadvantages of having too small a sample size (i.e., testing on too few rats)?

User Millhouse
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the larger the sample size the fewer errors would be made. it also averages out the results. depending on what the experiment is like i.e.: how would ___ nicotine affect the heart rate of 100 rats. your prediction/hypothesis would be closer to the experiment results with a larger test number of say 1000. but with a smaller sample size its hard to accurately predict and have more consistent resulta
User Vovkab
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