ONE take-home midterm exam will be given during the term. The exam will be made available on a Friday and should be completed during a single 2 hour session before the following Monday. The exam will be distributed on Friday, March 4 (Week 6) and due on Monday, March 7th.
Additionally, a cumulative final exam will be given during Finals Week. This exam will conist of just a take-home component. It will be made available 9am on Monday, May 9th and should be completed during a single 3 hour session before 5pm on Thursday, May 12th.
The first midterm will be a 2 hour and 15 minute take-home exam. You should plan to spend up to 2 hours working on the exam itself, and the remaining 15 minutes knitting your document and submitting to gradescope.
The exam will be made available at 1pm Friday March 4th and due at the latest by 8am Monday, March 7th. The exam will cover all material covered in class through Friday, February 25th, corresponding to Chapters 1, 2, 3, 5, 6 in ModernDive, and Chapters 2, 4, and 7 in Intro to Modern Statistics.
To best prepare for an exam, you should attempt to accurately assess what topics you have mastered and which you need to practice more. A good starting point is to create your own study guide with summaries of the important concepts, along with example problems you’ve designed and solved. Exam problems will be comparable in difficulty to those exhibited in class and assigned for lab/homework. Some exam questions may be similar to problems you have seen before, while others will require you to synthesize your knowledge in new ways.
On the exam, you may be asked to do the following:
For extra practice, several review problems are provided on Midterm1 _Review.Rmd. However, they are not comprehensive, so do not limit your studying to just these problems. While the problems are intended to match the difficulty of those on the exam, the length of this review set may not represent the actual length of the exam. Although detailed solutions will not be posted, you are welcome to talk to me about any of them before the test.
Due: 8am PST on Monday, March 7
A blank .Rmd template for the exam will be posted on the exam page of the course website on Tuesday March 1. Use this template to write up solutions to the exam (as you would with a lab or homework assignment). This template includes the header (title, author, data etc.), the set-up code chunk to load packages, a code chunk to import the data, problem numbers, and the instructions printed below. It will not contain the text of any problems. You may download and look at this template at any time.
At 1pm on Friday, March 4th, the .pdf file containing the exam questions will be made available under the Midterm 1 assignment on Gradescope. Once you click on the Gradescope assignment link and accept the assignment, you will have 2 hours and 15 minutes to work on the exam and submit your knitted .pdf file to the same location on Gradescope.
Download the Midterm 1 .Rmd Template
Work through the exam questions in the .pdf file on Gradescope, recording your answers in the .Rmd template, and submit the document as a knitted .pdf file with your answers on Gradescope. Only what appears in the .pdf file will be graded, so if what you see in the .pdf doesn’t reflect what you intend for the answer, modify your .rmd file so the .pdf reflects your answer.
You may take up to 135 minutes to complete this exam. You may start the exam at any time, but you must cease working and submit your .pdf file 135 minutes after you begin. You should plan to spend 120 minutes on the exam itself, and should use the remaining 15 minutes to knit the document and submit. You will be unable to submit the assignment to gradescope after this time has elapsed. If you have academic accommodations permitting additional time on the exam, we will discuss how these accomodations will be implemented via email.
You may reference your Lab and Homework Assignments (both the versions you submitted and the comments you received), your course notes, textbooks (both ModernDive and Intro to Modern Statistics), lecture slides, and lecture videos.
You may also reference any built-in help functions in R (for example, you may look at the results of typing ?ggplot into the console or the cheat sheets on the help menu).
You MAY NOT reference any other physical or online sources, repost any questions from this exam, or receive help on this assignment from others in any way. Failure to abide by this policy is an Honor Code violation.
If you have technical questions, send them to Nate as a direct message on Slack. For equity reasons, I will not answer conceptual or clarifying questions. Since I may be unable to answer your question during the time frame you are taking the exam, document the issue on the exam and then move on to the next problem.
Knit your document early and often! If a code chunk is preventing you from knitting the document and you are unable to resolve the problem, replace {r} at the top of the code chunk with {r eval = F, echo = T}. The code will not run, but will be printed in your .pdf which can possibly earn some partial credit.
For each problem, put your solution between the bars of red stars.
The final exam will be cumulative, but with emphasis on material covered in class since the 1st midterm, corresponding to Chapters 8 and 9 in ModernDive, and Chapters 11, 13, 16 - 22, 24, 25 in Intro to Modern Statistics.
The exam will be a 3-hour take-home exam, made available at 9am PDT Monday May 9th and due at the latest by 5pm PDT Thursday, May 12th. (The exam is intended to take about 2 hours, but extra time is allotted for technical challenges)
To best prepare for an exam, you should attempt to accurately assess what topics you have mastered and which you need to practice more. A good starting point is to prepare is to create your own study guide with summaries of the important concepts, along with example problems you’ve designed and solved. Exam problems will be comparable in difficulty to those exhibited in class and assigned for homework. Some exam questions may be similar to problems you have seen before, while others will require you to synthesize your knowledge in new ways.
On the exam, you may be asked to do the following:
For extra practice, several review problems are provided on this Final Exam Review. However, they are not comprehensive, so do not limit your studying to just these problems. While the problems are intended to match the difficulty of those on the exam, the length of this review set does not represent the actual length of the exam. Although detailed solutions will not be posted, you are welcome to talk to me about any of them before the test.
Due: 5pm PDT on Thursday, May 12th
A blank .Rmd template for the exam will be posted on the exam page of the course website by Wednesday May 4th. Use this template to write up solutions to the exam (as you would with a lab or homework assignment). This template includes the header (title, author, data etc.), the set-up code chunk to load packages, a code chunk to import the data, problem numbers, and the instructions printed below. It will not contain the text of any problems. You may download and look at this template at any time.
At 9am on Monday, May 9th, the .pdf file containing the exam questions will be made available under the Final Exam assignment on Gradescope. Once you click on the Gradescope assignment link and accept the assignment, you will have 3 hours to work on the exam and submit your knitted .pdf file to the same location on Gradescope.
Download the Final Exam .Rmd Template
Work through the exam questions in the .pdf file on Gradescope, recording your answers in the .Rmd template, and submit the document as a knitted .pdf file with your answers on Gradescope. Only what appears in the .pdf file will be graded, so if what you see in the .pdf doesn’t reflect what you intend for the answer, modify your .rmd file so the .pdf reflects your answer.
You may take up to 180 minutes to complete this exam. You may start the exam at any time, but you must cease working and submit your .pdf file 180 minutes after you begin. You should plan to spend up to 165 minutes on the exam itself, and should use the remaining 15 minutes to knit the document and submit. You will be unable to submit the assignment to gradescope after this time has elapsed. If you have academic accommodations permitting additional time on the exam, we will discuss how these accomodations will be implemented via email.
You may reference your Lab and Homework Assignments (both the versions you submitted and the comments you received), your course notes, textbooks (both ModernDive and Intro to Modern Statistics), lecture slides, and lecture videos.
You may also reference any built-in help functions in R (for example, you may look at the results of typing ?ggplot into the console or the cheat sheets on the help menu).
You MAY NOT reference any other physical or online sources, repost any questions from this exam, or receive help on this assignment from others in any way. Failure to abide by this policy is an Honor Code violation.
If you have technical questions, send them to Nate as a direct message on Slack. For equity reasons, I will not answer conceptual or clarifying questions. Since I may be unable to answer your question during the time frame you are taking the exam, document the issue on the exam and then move on to the next problem.
Knit your document early and often! If a code chunk is preventing you from knitting the document and you are unable to resolve the problem, replace {r} at the top of the code chunk with {r eval = F, echo = T}. The code will not run, but will be printed in your .pdf which can possibly earn some partial credit.
For each problem, put your solution between the bars of red stars.