1. Find the 5-number summary for the Midterm 1 data.
2. Find the 5-number summary for the Midterm 2 data.
3. Draw two boxplots – one for the Midterm 1 data and one for the Midterm 2 data – side-by-side and compare.
4. Compute the mean and standard deviation for the Midterm 1 data.
5. Compute the mean and standard deviation for the Midterm 2 data.
6. Create a new variable for the differences in the score. For example, the first student in the Excel file scored 50 on Midterm 1 and 44 on Midterm 2, so this student should have a difference of Midterm 2 – Midterm 1 = 44 – 50 = -6 (the score went down from MT1 to MT2 so the difference should be negative.
7. Find the 5-number summary, mean, and standard deviation for Differences data. Create a histogram for the Differences.
8. Create a scatterplot for the Midterm 1 vs. Midterm 2 paired data, using Midterm 1 as the explanatory variable.
9. Find the equation of the linear regression model for the data you plotted in #8. Compute the R^2 value for this fit.
10. Write a paragraph or two interpreting all of the results from questions #1-9.
| Midterm 1 | Midterm 2 |
| 50 | 44 |
| 50 | 36 |
| 49 | 25 |
| 48 | 43 |
| 45 | 38 |
| 43 | 50 |
| 43 | 41 |
| 42 | 40 |
| 41 | 44 |
| 41 | 43 |
| 37 | 17 |
| 36 | 25 |
| 36 | 23 |
| 35 | 19 |
| 33 | 43 |
| 33 | 14 |
| 33 | 17 |
| 32 | 29 |
| 32 | 15 |
| 32 | 29 |
| 32 | 21 |
| 32 | 27 |
| 30 | 3 |
| 29 | 13 |
| 29 | 31 |
| 23 | 9 |
| 21 | 11 |
| 21 | 15 |
| 18 | 18 |
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