Exam 02 review

Prof. Maria Tackett

Dec 05, 2022

Announcements

  • Due dates

    • Team Feedback #2 due Tue, Dec 06, 11:59pm (check for email from Teammates)
    • Statistics experience due Fri, Dec 09, 11:59pm
    • Project written report due Fri, Dec 09, 11:59pm

  • Exam 02: Mon, Dec 05 (evening) - Thu, Dec 08, 12pm (noon)

    • Click here for lecture recordings - available until Dec 05, 11:59pm

Course evals

  • Course and TA evaluations are now available (check email for TA evaluations).

  • If there is at least 80% on the course evaluations and TA evaluations, everyone in the class will get 1 point on Exam 02.

    • This will be determined separately for the Sections 001 and 002.

Project

  • Written report submission: due Fri, Dec 09, 11:59pm (accepted until Sun, Dec 11, 11:59pm)

    • Submit by pushing to your GitHub repo. There is no submission on Gradescope

  • Next steps:

    • Video + slides: due Wed, Dec 14, 11:59pm

    • Repo organization due Wed, Dec 14, 11:59pm

    • Video comments: due Fri, Dec 16, 11:59pm

  • Link: sta210-fa22.netlify.app/project-instructions

Exam instructions

  • The exam is an individual assignment. Everything in your repository is for your eyes only.

  • You may not collaborate or communicate anything about this exam to anyone except the instructor. For example, you may not communicate with other students, the TAs, 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.

  • No TA office hours will be held during the exam. You may not email the TAs questions about the exam.

  • Ed Discussion is only for questions about the final project.

  • Email Prof. Tackett with “STA 210 Exam” in the subject line if you have questions

Exam 02 logistics

  • Released today ~ 7pm (will receive email) and due Thu, Dec 08, 12pm (noon)
  • Exam instructions can be found in the README of the exam-02 Repo
    • Exercise prompts will be in exam-02.qmd
  • Covers everything we’ve done Weeks 06 - 13
  • Office hours during exam:

    • Wed, Dec 07 during your class period (Zoom link in Sakai)

    • Prof. Tackett office hours

      • Mon, 1 - 2pm

      • Thu, 10 - 11am

Assessment criteria

  • You can identify the correct approach, analysis method, and/or inferential results required to answer the question.
  • You understand the correct conditions and diagnostics needed to determine whether the conclusions drawn from the model will be reliable
  • You can write results and conclusions in a meaningful way that can be understood by a general audience (think a business or research partner)
  • You can produce a report that is suitable for a professional audience (e.g., narrative is written in complete sentences, all graphs have proper titles and axis labels, there is not extraneous output, all LaTex is rendered)
  • You can conduct the analysis using a reproducible data analysis workflow that incorporates version control

Application Exercise

📋 AE 16: Exam 02 Review

  • Sit with your lab group

🔗 Week 15