You lead a product-testing unit for a large pharmaceutical company. Your team has conducted forty trials of a new antibiotic but you are not sure if the results are conclusive enough to urge the company to start producing the new drug. A new data analyst has joined your team suggesting that meta-analysis might be a good idea, do you agree?
A. Yes, because the forty trials were identical and tested the same research question and therefore we can calculate an average significance for the new drug.
B. Yes, because the forty trials were identical and tested the same research question and therefore we can calculate an average effect size for the new drug.
C. No, because the forty trials were identical and tested the same research question we cannot calculate an average effect size for the new drug.
D. No, because the forty trials were identical and tested the same research question we cannot calculate an average significance for the new drug.
Answer: B
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