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