Question
Note: Many of these questions ask you to work with a categorical variable from the Student Survey data set. Most variables in that data set
Note: Many of these questions ask you to work with a categorical variable from the Student Survey data set. Most variables in that data set are presented as numerical, but remember that you can re-express any numerical variable as a categorical variable by splitting the numerical scale. For example, you could take average hours of sleep, a numerical variable, and create a new categorical variable that answers the question "do you average 8 or more hours of sleep?" ('yes' for those students at 8+ hours and 'no' for those <8). 1. Pick one numerical variable from the Student Survey data set. Using the tools of Chapter 2, create an appropriate visualization of the variable in R Studio and fully describe the distribution. Did you find anything interesting or unexpected about this distribution? 2. Pick one categorical variable from the Student Survey data set. Remember that you can always take a numerical variable and treat it as an ordinal categorical variable by dividing the range up into bins. Using the tools of Chapter 2, create an appropriate visualization of the variable in R Studio and fully describe the distribution. Did you find anything interesting or unexpected about this distribution? 3. Pick two variables from the Student Survey data set: one categorical and one numerical, preferably two variables that you suspect might have some interesting relationship. Create a side-by-side boxplot in R Studio and discuss any interesting patterns you found.
| credits | GPA | GPA_exp | study_hrs | study_hrs_211 | sleep_hrs | meals_cooked | meals_takeout | exer_hrs | people_hh | music | instruments | shoes | SP_pre | SP_post |
| 5 | 0 | 3.7 | 10 | 10 | 7 | 8 | 4 | 5 | 4 | No | NA | 2 | 2 | 3 |
| 15 | 2.96 | 3 | 20 | 7 | 7 | 21 | 0 | 5 | 4 | No | NA | 11 | 2 | 2 |
| 15 | 4 | 4 | 49 | 15 | 8 | 1 | 2 | 2 | 3 | Yes | piano | 3 | 5 | 5 |
| 5 | 3.43 | 3.8 | 40 | 40 | 8 | 21 | 0 | 16 | 2 | No | NA | 2 | 0 | 0 |
| 15 | 3.36 | 3 | 35 | 13 | 9 | 20 | 1 | 6 | 4 | No | NA | 13 | 7 | 7 |
| 12 | 3.04 | 2.9 | 30 | 12 | 7 | 20 | 1 | 1 | 2 | Yes | Piano, french horn, and classical vocals | 6 | 0 | 0 |
| 5 | 3.5 | 3.5 | 10 | 10 | 7 | 14 | 1 | 5 | 4 | No | NA | 6 | 5 | 5 |
| 15 | 3.3 | 3.5 | 7 | 4 | 8 | 3 | 8 | 5 | 3 | No | NA | 6 | 4 | 6 |
| 20 | 3.53 | 3.8 | 40 | 10 | 8 | 2 | 1 | 1 | 6 | No | none | 15 | 1 | 2 |
| 11 | 2.61 | 3 | 30 | 10 | 7 | 3 | 3 | 1 | 3 | Yes | I sing. | 10 | 4 | 3 |
| 15 | 3.8 | 4 | 21 | 3 | 7 | 18 | 2 | 9 | 2 | No | NA | 12 | 5 | 6 |
| 15 | 3.9 | 4 | 25 | 10 | 8.5 | 16 | 5 | 7 | 3 | Yes | Piano + drums | 10 | 4 | 4 |
| 15 | 3.94 | 4 | 35 | 15 | 8 | 6 | 0 | 16 | 6 | Yes | violin | 5 | 3 | 3 |
| 15 | 3.3 | 3.4 | 20 | 4 | 9 | 2 | 1 | 0 | 3 | No | NA | 6 | 3 | 3 |
| 15 | 0 | 3.5 | 35 | 10 | 8 | 19 | 2 | 2 | 2 | No | NA | 4 | 2 | 4 |
| 15 | 3.9 | 3.8 | 25 | 8 | 9 | 3 | 1 | 8 | 4 | No | NA | 2 | 0 | 1 |
| 15 | 3.9 | 3.8 | 25 | 9 | 9 | 5 | 1 | 2 | 4 | No | NA | 2 | 0 | 0 |
| 8 | 3.3 | 4 | 15 | 7.5 | 6 | 12 | 3 | 6 | 6 | No | NA | 6 | 2 | 4 |
| 15 | 3.93 | 4 | 20 | 12 | 9 | 20 | 4 | 28 | 4 | Yes | Piano | 5 | 3 | 6 |
| 5 | 3.8 | 4 | 15 | 15 | 7 | 0 | 8 | 7 | 3 | No | NA | 5 | 6 | 8 |
| 15 | 3.51 | 3.8 | 25 | 10 | 7 | 4 | 10 | 7 | 4 | No | NA | 3 | 6 | 6 |
| 5 | 3.8 | 4 | 4 | 10 | 9 | 2 | 2 | 3 | 3 | Yes | Piano | 16 | 5 | 8 |
| 20 | 3.3 | 3 | 30 | 8 | 8 | 10 | 3 | 4 | 3 | Yes | Guzheng | 10 | 8 | 10 |
| 10 | 3.2 | 3.7 | 7 | 4 | 5 | 3 | 5 | 3 | 2 | Yes | piano, guitar, violin | 7 | 2 | 7 |
| 20 | 3.5 | 3.7 | 30 | 6 | 10 | 0 | 4 | 0 | 6 | Yes | Piano | 15 | 2 | 3 |
| 20 | 3.5 | 3.7 | 30 | 6 | 10 | 0 | 4 | 0 | 6 | Yes | Piano | 15 | 2 | 3 |
| 15 | 3.19 | 3.5 | 35 | 20 | 5 | 14 | 0 | 5 | 4 | Yes | Drums | 4 | 3 | 2 |
| 15 | 3 | 3.6 | 15 | 5 | 8 | 10 | 6 | 9 | 4 | No | NA | 7 | 10 | 10 |
| 15 | 3.62 | 4 | 40 | 12 | 8 | 6 | 6 | 1 | 0 | Yes | piano | 6 | 3 | 3 |
| 10 | 4 | 3.8 | 15 | 10 | 8 | 6 | 1 | 2 | 2 | No | NA | 12 | 3 | 3 |
| 12 | 3.15 | 3.6 | 63 | 28 | 7 | 1 | 1 | 7 | 14 | No | NA | 3 | 3 | 3 |
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Income Tax Fundamentals 2013
Authors: Gerald E. Whittenburg, Martha Altus Buller, Steven L Gill
31st Edition
1111972516, 978-1285586618, 1285586611, 978-1285613109, 978-1111972516
