# Difference between revisions of "Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 1"

## Programming Challenges

Because this is our first week, there are no real programming challenges this week. Instead, these are some setup tasks you can do before class to prepare you to complete future programming challenges.

PC1. Download and install R — You can do that from this webpage where you will have to choose based on your operating system.
PC2. Download and install RStudio — Download and run the "installer" from the "Installers" sections of the RStudio download page. You'll want to choose the one that is appropriate for your operating systems (e.g., Windows, Mac OSX, or GNU/Linux).
PC3. (a) Create and save a new RStudio "Project" ('.Rproj'). Then, within your new project, (b) create and save a new RMarkdown file ('.Rmd'). Finally, (c) write a combination of text notes and R code in your RMarkdown file and "knit" the output into HTML.
PC4. Compress everything from your project into a "zip" archive (feel free to use some other compression format if you like) and upload it to Canvas.

## Statistical Questions (from OpenIntro)

Exercises from OpenIntro (Diez, Barr, and Çetinkaya-Rundel) §1

SQ0. Any questions or clarifications from the OpenIntro text or lecture notes?
SQ1. Exercise 1.6 about identifying cases, variables, types, and research questions
SQ2. Exercise 1.12 about populations, samples, and generalizability
SQ3. Exercise 1.52 about means and medians from a histogram
SQ4. Exercise 1.56 about skewness and choosing appropriate statistics
SQ5. Exercise 1.64 about selecting certain types of visualization over others

Several of these questions draw from Study 4 of the following paper (although I don't think it's critical to look at the paper to answer the questions):

Piff, Paul K., Daniel M. Stancato, Stéphane Côté, Rodolfo Mendoza-Denton, and Dacher Keltner. 2012. “Higher Social Class Predicts Increased Unethical Behavior.” Proceedings of the National Academy of Sciences 109(11):4086–91. [Available through NU Libraries]