Exam 2

STA 210 - Summer 2022



Exam 2 will be released on Friday, June 3 at 1 pm ET and must be completed by Mon, June 6 at 11:59 pm.

The exam will consist of two parts:

  1. Part 1 - Conceptual: Multiple choice questions on Sakai test and quizzes. This portion may only be submitted one time. Go to Sakai to complete Part 1 of the exam.
  2. Part 2 - Applied: Data analysis in RStudio and submitted in Gradescope (like a usual lab and homework). Go to the GitHub organization for the course and find the exam-2- repo to complete Part 2 of your exam. Add your answers to the exam-2.qmd file in your repo.

Both portions must be completed and submitted by Mon, June 6 at 11:59 pm. Late work will only be accepted in the case of of extenuating circumstances and notification from your academic dean.

🍀 Good luck! 🍀

Academic Integrity

By taking this exam, you pledge to uphold the Duke Community Standard:

  • I will not lie, cheat, or steal in my academic endeavors;

  • I will conduct myself honorably in all my endeavors; and

  • I will act if the Standard is compromised.

Rules & Notes

  • This is an individual assignment. Everything in your repository and on Sakai is for your eyes only.

  • You may not collaborate or communicate anything about this exam to anyone except the instructor and the TA). For example, you may not communicate with other students or post/solicit help on the internet, email or via any other method of communication.

  • The exam is open-book, open-note, so you may use any materials from class as you take the exam.

  • If you have questions, email the professor or the TA on Slack or post on Sakai Conversations for “Instructors in this site” only or attend my office hours.


  • Part 1 - Conceptual: The answers to the multiple choice/short answer questions should be submitted under Test & Quizzes in Sakai. Only need to provide reasons if you are not sure about your answer. The reasons can help me give your points back if you submit a re-grade request.

  • Part 2 - Applied: The PDF document for the data analysis portion must be uploaded to Gradescope.

    • You must submit a PDF to Gradescope that corresponds to the .qmd file on your GitHub repository in order to receive credit for this portion of the exam.

    • You must upload a PDF, not HTML. Any non-PDF submissions will not be graded.

    • Mark the pages associated with each question. If any answer for a question spans multiple pages, mark all associated pages.

    • Make sure to associate the “Workflow & formatting” section with the first page.

    • Failure to mark the pages in Gradescope will result in point deductions. Any pages that are not marked will not be graded.

    • Make sure that your uploaded PDF document matches your .qmd and the PDF in your GitHub repository exactly. Points will be deducted for documents that are not reproducible.

Grading (50 pts)

Part Points
Part 1 - Conceptual (on Sakai) 10
Part 2 - Applied (on Gradescope) 40
Total 50