1. Pick one numerical variable from the Math 211 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 Math 211 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 Math 211 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.

4. Pick a categorical variable from the Math 211 Student Survey data set and treat the Math

211 students who responded to this survey as a random sample of Shoreline Community

College students. Pose a question that could be answered using the tools from Chapter

6, and run through a full analysis of the inferences you can draw (including a hypothesis

test, confidence interval, and a discussion of whether the relevant conditions are truly

satisfied).

5. Pick a numerical variable from the Math 211 Student Survey data set and treat the Math

211 students who responded to this survey as a random sample of Shoreline Community

College students. Pose a question that could be answered using the tools from Chapter

7, and run through a full analysis of the inferences you can draw (including a hypothesis

test, confidence interval, and a discussion of whether the relevant conditions are truly

satisfied).

6. Pick two numerical variables from the Math 211 Student Survey data set that you

suspect have some interesting relationship. Create a linear regression model and fully

analyze it.