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A randomized control trial comparing the efficacy of two drugs showed a difference between the two (with a P value <0.05). Assume that in reality, however, the two drugs do not differ. This is an example of:

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Answer:

Type I error (alpha error)

Step-by-step explanation:

Given that a TYPE 1 ERROR is a type of research error often referred to as false positive or alpha error and happens when a researcher wrongly rejects a true null hypothesis. This action by the researcher verifies a statistically significant difference even though there is no difference.

Hence, considering the situation described in the question above, the correct answer to the question is "TYPE 1 ERROR"

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