Use the preparation materials to prepare hand-written answers for the following questions. Please ask any questions on the "Questions -- Preparation Guide" on the course Team (see link on the homepage.)
  1. When is a t-distribution (or a 1-sample t-test) used as compared to when a Z-distribution (or a 1-sample Z-test) used?
  2. How does a t-distribution compare to a Z-distribution? [You should note at least three things.]
  3. Explain why a t-distribution is wider than a Z-distribution.
  4. What is the null hypothesis in a 1-Sample t-Test? [Write your answer using statistical symbols and as a sentence.]
  5. What is the statistic in a 1-Sample t-Test?
  6. What is the test statistic in a 1-Sample t-Test? [What is the symbol and the equation for this test statistic?]
  7. What is the formula to compute a confidence region in a 1-Sample t-Test?
  8. What are the assumptions of a 1-Sample t-Test?
  9. What characteristics define when a 1-Sample t-Test will be used?
  10. Which R function is used to compute a p-value from the test statistic in a 1-sample t-test? Which arguments must be included?
  11. What questions do you have from this reading that you would like me to address? [Please be as specific as possible. Don’t just say “everything” or “I don’t understand anything.” Of course, you can ask questions about the reading before class on MS Teams (see link above).]