Question: In a binomial distribution each trial must be repeatable and independent. In statistics this must be true in a much broader way if statistical results
In a binomial distribution each trial must be repeatable and independent. In statistics this must be true in a much broader way if statistical results are to be considered valid. What does it mean for trials to be independent? What does it mean for trials to be repeatable? For example, in a medical trial, how can we assure that each subject is treated with the same protocols and each subject's responses are due only to the treatment they receive and nothing else?
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