Question: Briefly explain what is wrong with the following statements A Type I error of .05 means that out of 100 tests of the research hypothesis,

Briefly explain what is wrong with the following statements

  1. A Type I error of .05 means that out of 100 tests of the research hypothesis, one can reject a true null hypothesis.
  2. It is possible to set the Type I error rate to zero.
  3. The smaller the Type I error rate, the better the results.

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