A normal distribution can be fitted for almost any dataset, which makes it very useful for analyzing large sets of measurements quickly and easily. With a pdf or histogram of the data, you can visually point out much about the data without even seeing the numbers. You can determine if the data is centralized or spread out, skewed or symmetrical, and more. Given what you know about income inequality in the U.S., draw and label what you think a distribution would look like for everyone living in the country measured by wealth. Next, do the same for the heights of NBA players. Lastly, draw what you think the distribution would look like for birthdays across all of the students in this class. When labeling, either use your best guess or pull data from the internet to help make your graphs more accurate