## Quiz 06: Policies and Information

### Location, Date, and Time

Conflicts: There will be no conflict quiz as students are able to choose the time and date of their quiz.

### Quiz Content

All quizzes are cumulative. Previous material can reappear on a later quiz.

5.1: Functionals

• What are functionals? How do they relate to loops?
• Why does a functional emphasize an action over objects?
• How is the split-apply-combine paradigm related to functionals?

5.2: Shiny

• Compare and contrast a shiny application vs. a static text report.
• How does the Server component differ from the UI component?
• What is reactivity and how is it used within shiny?
• Why are shiny applications useful to lower the barrier of entry for using a statistical method in R?

5.3: Data Visualization

• What are the different types of EDA?
• Should you use all the types of EDA for every data set or only use one specific type?
• How does EDA look at patterns in the data?
• What are the three different graphical systems in R? When should each be used in the course of an analysis?
• What theory underpins ggplot2? How does this theory inform the construction of graphs?
• If we have a discrete variable, then what kind of graph should we select?
• Given a numerical response with a categorical explanatory variable, how should the data be displayed visually?
• Explain the differences between a histogram and a bar plot.
• What are the underlying properties of a “facet” when applied to a graph?
• What are the benefits to using a script to save a graph vs. using a GUI?
• How can you detect if the data is “overfit”?
• What is the difference between a facet_wrap() and a facet_grid()?
• Why should a company design a theme for all of their visualizations?

### Materials Needed

• Preferably, a rested mind and non-broken hands that can type.

### Policies

• All answers must be reasonably simplified.
• Decimals answers must contain two significant digits.
• Grading will be done as follows:

If you have a technical issue while answering questions or need assistance with opening or starting the quiz, please alert the proctor.

Do not leave the CBTF without filing an issue with the proctor if something goes wrong.

### DRES

Have a testing accommodation? Please see how the CBTF handles Letters of Accommodation.

The short version: Please bring a copy of the Letter of Accommodation to the CBTF Proctors prior to the test taking place.

In short, don’t cheat. Keep your eyes on your own quiz. Do not discuss the quiz with your friends after you have taken it. Any violation will be punished as harshly as possible.

The best way to study for a STAT 385 quiz is by writing and reading code. Try to take an idea in STAT 385 and apply it to your own work.

With this being said, there are four other resources that may assist your studies:

• Topic Outline (Above)
• Lecture Code
• Homework
• Practice Midterm Questions

Again, the best way to study is to do programming in some fashion. Whether that be writing code or explaining how code works to someone else.

Do not spend time memorizing lecture slides. You will not see any verbatim questions.

Do not try pulling an all-nighter. You can schedule your quiz anytime between a time window. To program efficiently, you need sleep despite the quote:

“Programmers are an organism that turns caffeine into code.”

#### What kind of question types are on the quiz?

There are generally four types of problems:

• True / False
• Multiple Selection (e.g. select ALL correct answers from a list)
• Fill in the blank
• Writing Code

#### How many problems are on the quiz?

Only one question with 15012391 subquestions. In all seriousness, do not fixate on a number. There will be a reasonable amount of questions for the time period.

#### How long will it take to do the quiz?

Depending on your background, the quiz may take:

• Prior R in-depth experience: 25 minutes
• Some R experience: 35 minutes
• No R experience: 50 minutes

Avoid fixating on time. Life will come and go more quickly than you realize. Focus more on the content.

#### When will the quiz be returned?

As all problems are automatically graded, we should be able to post the quiz results after the examination window closes.

No.

#### We got our grades back, now will the quiz be curved?

No. Curving is only done sparingly at the end of the semester. Individual assignments are not modified.