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Questions and Answers
What is the probability of making a Type I error in hypothesis testing?
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?
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?
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?
What represents the probability of making a Type II error in hypothesis testing?
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What is the initial assumption in hypothesis testing before making a statistical decision?
What is the initial assumption in hypothesis testing before making a statistical decision?
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