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Significance Level Quiz

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1. When conducting a hypothesis test, what does a significance level of 0.05 indicate?

2. Which of the following best describes the significance level (alpha) in hypothesis testing?

3. If you decrease the significance level from 0.05 to 0.01 in a hypothesis test, what happens to the chance of making a Type I error?

4. Which option correctly interprets a p-value less than the significance level in hypothesis testing?

5. In the context of hypothesis testing, what is a Type I error?

6. Which statement is true regarding the relationship between the significance level (alpha) and the likelihood of a Type II error (beta)?

7. What is the primary role of the significance level in hypothesis testing?

8. How does the choice of significance level impact the width of a confidence interval?

9. If a statistical test results in a p-value of 0.03, which of the following conclusions is correct when using a significance level of 0.05?

10. Which of the following is NOT a factor that could influence the significance level chosen for a study?