3. Create at least 1 histogram. You may choose what you would like display (e.g. Just Class A, Just Class B, Both Classes, etc.), but you'll want to be clear what you are displaying. Feel free to create more than one histogram!

- Make sure that your histogram(s) follow best practices for constructing a visual (e.g. labels axes, vertical axis starts at 0, etc.)

- Keep in mind class widths. Are they meaningful for this data set? Hint: If you use the automatic histogram function within excel, the given widths are probably not the ones you'll want to keep!

- Do you need multiple graphs? If you have multiple graphs, keep in mind the best practices for creating multiple graphs.

- If you are having trouble getting started, you may modify this histogram: https://opentextbc.ca/introductorybusinessstatistics/, Click 'Read Book', then 'Contents'. Under Main Body, Click "Appendix: Interactive Spreadsheets - Editable", then "Figure 1.1 Interactive Excel Template of a Histogram. Make sure you are editing appropriately to suit your needs.

- A good visualization should be fairly self-explanatory and easy to interpret

- 5 bonus points for creating at least 1 box plot to display the data

4. Create a probability distribution using all of the scores combined. What is the probability of getting A, B, C, D or F? To find the probability of earning each letter grade, we divide the total number of each letter grade by the total number of scores.

5. Next, Explain your findings and interpretation of the datain a manner that would be useful for students and the instructor (i.e. what should students and the instructor take away from this data?)

- Interpretation is more than just reporting the descriptive statistics (mean, median, etc.), rather you should explain what the numbers mean.

- For example, did the class do well? Poorly? Did one class do significantly better than another? What does this mean for students? Does the test appear to be too difficult? Too easy? What does this mean for the instructor?

- Be sure to include a discussion of the shape of the distributions/skew and what that means.

- Remember that data interpretation is subjective!