1. Often the concepts of independent and mutually exclusive get confused. In your own words, describe what it means for two events to be independent and then discuss how this is different from the events being mutually exclusive.

2. In your own words, describe what it means for two events to be mutually exclusive. Give an example of two events that are mutually exclusive.

3. You have now learned about both discrete and continuous random variables and their probability distributions. Given a scenario regarding a probability distribution, how will you be able to tell whether it is a discrete random variable or continuous random variable being presented.

4. Discuss how you will know when it is appropriate to count using a permutation and when it is appropriate to count using a combination. Give an example of when you would count objects using a permutation and an example of when you would count using a combination.

5. Define what a random variable is. Give an example of a discrete random variable and all its possible outcomes.

6. Explain in your own words what a z-score is and then give an example of how z-scores can be used to make a comparison.

7. This section looks at the sampling distribution of a sample proportion. Discuss what requirement(s) need to be met in order to assume the distribution is normal.

8. Discuss what a sampling distribution is in your own words. What requirement(s) need to be met in order to assume the distribution is normal?

9. The Binomial distribution is discussed in this section. Given an example of a binomial random variable and then discuss how the four requirements are met for the random variable.