16.5: Advanced Graphs (Exercises)
- Page ID
- 19159
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General Questions
Q1
What are \(Q-Q\) plots useful for?
Q2
For the following data, plot the theoretically expected \(z\) score as a function of the actual \(z\) score (a \(Q-Q\) plot).
0 | 1.2 |
0 | 1.2 |
0 | 1.2 |
0 | 1.2 |
0 | 1.3 |
0 | 1.3 |
0.1 | 1.3 |
0.1 | 1.3 |
0.1 | 1.3 |
0.1 | 1.4 |
0.1 | 1.4 |
0.2 | 1.5 |
0.2 | 1.6 |
0.3 | 1.7 |
0.3 | 1.7 |
0.4 | 1.7 |
0.5 | 1.8 |
0.6 | 1.8 |
0.6 | 1.9 |
0.6 | 1.9 |
0.6 | 2.0 |
0.6 | 2.0 |
0.6 | 2.0 |
0.6 | 2.1 |
0.6 | 2.1 |
0.6 | 2.1 |
0.7 | 2.1 |
0.7 | 2.1 |
0.8 | 2.1 |
0.8 | 2.1 |
0.8 | 2.3 |
0.8 | 2.5 |
0.8 | 2.7 |
0.9 | 3.0 |
1.0 | 4.2 |
1.0 | 5.0 |
1.1 | 5.7 |
1.1 | 12.4 |
1.2 | 15.2 |
1.2 |
Q3
For the data in problem 2, describe how the data differ from a normal distribution.
Questions from Case studies
Q4
For the "SAT and College GPA" case study data, create a contour plot looking at University GPA as a function of Math SAT and High School GPA. Naturally, you should use a computer to do this.
Q5
For the "SAT and College GPA" case study data, create a \(3D\) plot using the variables University GPA, Math SAT, and High School GPA. Naturally, you should use a computer to do this.