Type I and Type II Errors Quiz
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Questions and Answers

What is the probability of making a Type I error in hypothesis testing?

  • Beta (β)
  • The alternative hypothesis
  • Significance level, or alpha (α) (correct)
  • The null hypothesis

    • What does a Type I error in hypothesis testing entail?

  • Rejecting the null hypothesis when it's actually true (correct)
  • Failing to reject the null hypothesis when it's actually false
  • Failing to accept the null hypothesis when it's actually true
  • Accepting the alternative hypothesis when it's actually false

    • What can minimize the risks of Type I and Type II errors in hypothesis testing?

  • Increasing the significance level
  • Using a larger sample size
  • Careful planning in study design (correct)
  • Conducting the test multiple times

    • What represents the probability of making a Type II error in hypothesis testing?

    <p>Beta (β)</p> Signup and view all the answers

    What is the initial assumption in hypothesis testing before making a statistical decision?

    <p>The null hypothesis: assumption of no difference between groups or no relationship between variables</p> Signup and view all the answers

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