This is the landing page for Applied Statistical Methods 1 course taught by Dr. Robin Donatello in Fall 2018. This landing page is used for posting of regular announcements and information for students of the class.


9/17/18 - Week 4

The optional revision period to your peer review assignments has been added to the submission instructions on the [Help page].

Writing Research questions

Your RQ’s need to be explicit, and very simple. Is there an association between X and Y? How does X affect Y? Be as detailed and specific as possible. Ask a question where you can say “Yes” or “No” to. You also need to identify exactly what variable in the data set you are going to use to measure X and Y.

Is there an association between current age and binge drinking (more than 4 drinks for women and 5 for men in a 2 hour span) in the past month?


Copy/paste the questions you want to analyze directly from the full codebook into your google doc.
You need the specific information such as how gender is coded (1/2/9, what is a gender of 9?)
This will help you from having to hunt through the full codebook when trying to find a specific variable.

Data Management, Graphing and R errors Oh My!

We’ll talk about how to identify features of data that will need to be changed prior to analysis. We can’t cover them all, nor would you remember them all. This is a place where experience and repetition will be the true learning method. In the meantime, I provide a number of resources to help you identify what to look for.

You have 2 assignments to turn in this week 1) is your data management RMD code file, the other is a Graphing assignment. Be sure to carefully read the submission instructinos for each.

9/3/18 - Week 3

  • You should have been watching and following along with the PDS videos for about a week now. If you are not, do this ASAP or you will fall behind. Think of these as lecture, and in class as practice time.
  • You’re going to be refining your research questions this week by conducting a literature review to see what the current state of knowledge is about your project.
  • Then we’ll spend some time in the course notes learning how to describe the distribution of data using words, summary statistics and appropriate graphics.
  • This is your last chance to get all your R/R Studio bugs resolved. Next week we’re hitting the coding ground hard.

Note about EC: If you attended a seminar I need some sort of writeup from you to demonstrate that you payed some attention to the statistical or data analysis content of the talk.

9/04/18 - Week 2 Data entry and import

Office hours (Holt 202) M: 3p-4m, W: 1-2pm, R: 10-11am (this weeks Wed hours are cancelled)

This week we’re going to be talking about data, doing some data entry and importing data into R. You’ll start to choose specific variables to address your research questions, create your own team mini-codebook and participate in our first project based assignment that comes with a peer review.

Two great seminars lined up this week, one in Statistics one in Biology. Both are worth some EC if you attend. They’re at the same time, so you can only attend one (obv.) Flyers with details are in Slack.

Be sure to check the weekly schedule (linked above) for details on how to prepare for the week.

Upcoming Assignments:

  • Two (2) DataCamp chapters. This course module is written by the authors of the Open Intro Statistics textbook, the course title in Data Camp is “Data Analysis and Statistical Inference”. In the Assignments tab in DataCamp, you will only see the chapter title.
    • Introduction to R
    • Introduction to data
  • Corresponding Blackboard Learn quizzes. (2 attempts)
  • Problem set 2.2 - Blackboard quiz of 10 randomly selected questions from a pool of questions. (Unlimited attempts)
  • hw02 - Research codebook assignment (created in Google Drive directly). Will be peer reviewed.

8/27/18 - Week 1 Welcome to Fall 18!

  • This course website contains all materials except the textbook for this class. Be sure to familiarize yourself with the organization. You will be here a lot. Bookmark this page.
  • Specifically click on and explore items in the top navigation bar.
  • Take this survey to help choose when I should hold Office Hours
  • Check Blackboard for links to the required course materials (also available on the syllabus)
  • Check week 1 for how to successfully prepare for Monday.