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5 April, 22:57

A Type I statistical error occurs when a researcher claims that there is not enough support to establish significance for the research hypothesis, but in fact there is enough.

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  1. 5 April, 23:14
    0
    This is a false statement.

    "[ ... ] when a researcher claims that there is not enough support to establish significance for the research hypothesis, but in fact there is enough."

    This excerpt in specific is actually a Type II statistical error, not a Type I.

    It refers to a false negative, which happens with the acceptance of a false null hypothesis that is actually false. The researcher has no knowledge that there actually is support his hypothesis and yet claims that there isn't.
  2. 5 April, 23:25
    0
    the answer to this question is False
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