Which of the following best describes a 'type I error' in hypothesis testing?
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A
Failing to detect a true effect (false negative)
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B
Incorrectly concluding that an effect exists when it does not (false positive)
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C
Using an inappropriate statistical test for the data type
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D
Recruiting an insufficient number of participants