1. Find the 5-number summary for the Midterm 1 data. 2. Find the 5-number summary for the Midterm 2 data. 3. Draw...
1568631. 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 |
- 10 years ago
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