Overview

Two take-home midterm exams will be given during the term. The midterms will be made available on a Friday and should be completed during a single 2 hour session before the following Monday. Tentatively, the first is scheduled for Friday, February 26 (Week 5) Friday, March 5 (Week 6) and the second for Friday, April 2 (Week 10).

Midterm 1

Exam Information

The first midterm will be a 2-hour take-home exam, made available at 5pm Friday March 5th and due at the latest by 10am Monday, March 8th. The exam will cover all material covered in class through Monday, March 1st, corresponding to Chapters 1, 2, 3, 5 in ModernDive, and Chapters 1 and 5 in OpenIntro:ISRS.

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:

  • Rephrase key definitions or concepts in your own words.
  • Give real-world examples of particular definitions or concepts.
  • Determine whether a given statement is true or false.
  • Complete a sentence or code snippet by filling in blanks.
  • Interpret or explain a statistical concept in everyday language.
  • Perform calculations using relevant techniques from the course.
  • Analyze a model, graphic, or code using terminology and concepts from the course.

For extra practice, several review problems are provided on this [Midterm 1 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.

Exam Distribution

Due: 10am PST on Monday, March 8

A blank .Rmd template for the exam will be posted on the exam page of the course website on Tuesday March 2. Use this template to write up solutions to the exam (as you would with a lab 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 5pm on Friday, March 5th, 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 to work on the exam and submit your knitted .pdf file to the same location on Gradescope.

Exam Documents

  1. [Midterm 1 Review]

  2. Midterm 1 .Rmd Template

Instructions

  1. Download the Midterm 1 .Rmd Template.

  2. 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.

  3. You may take up to 120 minutes to complete this exam. You may start the exam at any time, but you must cease working and submit your .pdf file 120 minutes after you begin. 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, and we have discussed these accommodations, I have incorporated the additional time in your assignment.

  4. You may reference your Lab Assignments (both the versions you submitted and the comments you received), your course notes, textbooks (both ModernDive and OpenIntro), lecture slides, and lecture videos.

  5. 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).

  6. 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.

  7. If you have technical questions, send them to Nate and Tom as a joint direct message on Slack. For equity reasons, we will not answer conceptual or clarifying questions. Since we maybe 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.

  8. 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.

  9. For each problem, put your solution between the bars of red stars.

Midterm 2

Exam Information

The second midterm will be a 2.5-hour take-home exam, made available at 5pm Friday April 2nd and due at the latest by 10am Monday, April 5th. The exam will be lightly cumulative, but with emphasis on material covered in class between the 1st midterm and Wednesday, March 24th. In particular,corresponding to Chapters 7-9 in ModernDive, and Sections 2.1 - 2.4 in OpenIntro:ISRS.

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:

  • Rephrase key definitions or concepts in your own words.
  • Give real-world examples of particular definitions or concepts.
  • Determine whether a given statement is true or false.
  • Complete a sentence or code snippet by filling in blanks.
  • Interpret or explain a statistical concept in everyday language.
  • Perform calculations using relevant techniques from the course.
  • Analyze a model, graphic, or code using terminology and concepts from the course.

For extra practice, several review problems are provided on this [Midterm 2 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.

Exam Distribution

Due: 10am PDT on Monday, April 5

A blank .Rmd template for the exam will be posted on the exam page of the course website on Tuesday March 30. Use this template to write up solutions to the exam (as you would with a lab 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 5pm on Friday, April 2nd, the .pdf file containing the exam questions will be made available under the Midterm 2 assignment on Gradescope. Once you click on the Gradescope assignment link and accept the assignment, you will have 2.5 hours to work on the exam and submit your knitted .pdf file to the same location on Gradescope.

Exam Documents

  1. [Midterm 2 Review]

  2. Midterm 2 .Rmd Template

Instructions

  1. Download the Midterm 2 .Rmd Template

  2. 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.

  3. You may take up to 150 minutes to complete this exam. You may start the exam at any time, but you must cease working and submit your .pdf file 150 minutes after you begin. 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, and we have discussed these accommodations, I have incorporated the additional time in your assignment.

  4. You may reference your Lab Assignments (both the versions you submitted and the comments you received), your course notes, textbooks (both ModernDive and OpenIntro), lecture slides, and lecture videos.

  5. 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).

  6. 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.

  7. If you have technical questions, send them to Nate and Tom as a joint direct message on Slack. For equity reasons, we will not answer conceptual or clarifying questions. Since we maybe 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.

  8. 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.

  9. For each problem, put your solution between the bars of red stars.

Midterm 2 Revisions

Guidelines for Revisions

You may choose 2 problems from the 2nd Midterm Exam to revise and resubmit. Revisions are due as a .pdf to the Midterm 2 Exam Revisions assignment on Gradescope by 5pm PDT on Wednesday, April 21. A copy of Midterm 2 is posted in the #announcements channel on Slack.

Your revisions should include complete solutions to all parts of the problems you selected (even for parts that received full points on the original exam). You do not need to submit solutions to the problems you did not select. When you upload your exam to gradescope, you should indicate which problems you revised by selecting the pages for those problems in gradescope. If more than 2 problems are selected, only the first 2 will be regraded.

Revised problems will be graded during finals week, and these scores will be incorporated in your 2nd midterm exam grade.

In addition to the resources allowed on the original exam, you are also welcome to consult with the following while revising your exam:

  • Math 141 Lecture and Lab instructors

  • Math 141 Course Assistants

  • Peers

  • Tutors

However, the work you submit should be your own, written in your own words, and reflect your understanding of the material from the class. You should understand the solution you submit well enough that you can hold a discussion about what each step in the solution represents, and why you made the choice you did.

Final Exam

Exam Information

The final exam will be cumulative, but with emphasis on material covered in class since the 2nd midterm, corresponding to Chapters 3, 4, 5, 6 in OpenIntro:ISRS. The exam consists of two components.

  1. A 3-hour take-home exam, made available at 9am PDT Monday May 10th and due at the latest by noon PDT Thursday, May 13th. (The exam is intended to take about 90 minutes, but extra time is allotted for technical challenges)

  2. A 15 minute oral exam, scheduled during final weeks. Sign up for an appointment slot on this Google Calendar page (link posted on Thursday May 6th) The oral exam will be based on data and questions from the take-home component, so you should sign up for an oral exam slot that is after you plan on completing the take-home exam.

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:

  • Rephrase key definitions or concepts in your own words.
  • Give real-world examples of particular definitions or concepts.
  • Determine whether a given statement is true or false.
  • Complete a sentence or code snippet by filling in blanks.
  • Interpret or explain a statistical concept in everyday language.
  • Perform calculations using relevant techniques from the course.
  • Analyze a model, graphic, or code using terminology and concepts from the course.

For extra practice, several review problems are provided on this [Review Sheet .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 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.

Exam Distribution

Due: Noon PDT on Thursday, May 13th

A blank .Rmd template for the exam will be posted on the exam page of the course website on Thursday May 6th. Use this template to write up solutions to the exam (as you would with a lab 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 PDT on Monday, May 10th, 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.

Exam Documents

  1. [Review Sheet .rmd]

  2. Final Exam .Rmd Template

  3. Sign-up sheet for Oral Exam (link availabe in the #announcements channel on Slack)

Instructions

  1. Download the Final Exam .Rmd Template.

  2. 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.

  3. 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 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, and we have discussed these accommodations, I have incorporated the additional time in your assignment.

  4. You may reference your Lab Assignments (both the versions you submitted and the comments you received), your course notes, textbooks (both ModernDive and OpenIntro), lecture slides, and lecture videos.

  5. 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).

  6. 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.

  7. If you have technical questions, send them to Nate and Tom as a joint direct message on Slack. For equity reasons, we will not answer conceptual or clarifying questions. Since we maybe 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.

  8. 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.

  9. For each problem, put your solution between the bars of red stars.