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TEAS Nursing School Review Questions

Category - Mathematics

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A Type I error is defined as:
  1. The error of rejecting a hypothesis when the hypothesis is false.
  2. The error of not rejecting a hypothesis when the hypothesis is false.
  3. The error of rejecting a hypothesis when the hypothesis is true.
  4. All of the above
Explanation
Answer: C - A Type I error is defined as the error of rejecting a hypothesis when the hypothesis is true. A Type II error is one in which a hypothesis is not rejected when it is false. The error of rejecting a hypothesis when the hypothesis is false is not an error. The probability of a Type I error occurring during a test is referred to as the “level of significance” of the test.
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