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. What is statistical inference?
  2. Explain sampling variability?
  3. What is a sampling distribution?
  4. What measure is used for the dispersion among statistics in a sampling distribution?
  5. What is the distinction between a standard deviation and standard error?
  6. What measure is used for natural variability?
  7. What measure is used for sampling variability?
  8. What does it mean if a statistic is unbiased?
  9. How do you distinguish between a population distribution, sample distribution, and sampling distribution?
  10. How does the shape, center, and dispersion of a sampling distribution compare to the corresponding population distribution?
  11. What happens to the sampling distribution if the sample size is increased?
  12. What is the process for simulating a sampling distribution? [You may want to include a drawing.]
  13. What is the primary reason for simulating a sampling distribution?
  14. Explicitly state what the Central Limit Theorem tells us.
  15. Define accuracy and precision?
  16. How do precise and imprecise sampling distributions differ?
  17. 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).]