Practice Quiz

DSST Principles of Statistics Exam Prep

Category - DSST Statistics Free Test Prep

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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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