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Type I error, also known as a "false positive," occurs when a hypothesis test incorrectly rejects a true null hypothesis. This means that the test concludes there is a significant effect or difference when, in reality, none exists. In the context of nursing education and research, this error can have serious consequences, as ___ ______ _____ _________ ________ ________ _________ _____ ______ ______.
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