Description 1. Summarize key data distribution concepts including probability mass functions (PMF), ...

---

Description 1. Summarize key data distribution concepts including probability mass functions (PMF), probability density functions (PDF), and cumulative distribution functions (CDF). Based on your organization or any organization you are most familiar with, provide an example of a PMF, an example of a PDF, and an example of a CDF, based on the type of data used in the organization. How would you summarize each of these to someone who is not familiar with each of these functions? 2. Suppose you had a six-sided die where each number (1, 2, 3, 4, 5, and 6) has the same probability of showing up (1/6). If the die is rolled an infinite number of times and the number recorded, what will be the average value that shows up? Is the average value one of the actual possibilities (1, 2, 3, 4, 5, or 6)? Why or why not?