20 FAQs and Errata

20.1 Frequently asked questions

While Piazza is our main class question and answer board, this page will have some static Questions and Answers for frequently asked questions. Use Cmd + F (Mac) or Ctrl + F (PC) to search for keywords on this page.

Additionally, make sure you’re familiar with the Syllabus. I’ve tried to explain as much as I could there.

20.1.1 Course admin

20.1.1.1 STA303 pre-requisites

20.1.1.1.1 I didn’t take STA302 or an equivalent course, can I still take STA303?

No, sorry. We enforce pre-reqs strictly. This isn’t up to me. You will be removed from the course. Please reach out to the UG stats team (ug.statistics@utoronto.ca) about questions of this nature.

20.1.1.2 Lecture and tutorial times

20.1.1.2.1 How exactly do the tutorials and lectures work?

Wednesdays: 1st part is (recorded) content/demo and the second is office hour (unrecorded). Aiming for half-half, but will vary.

Thursdays: The 1st Thursday of a module will have a Team Up! or other practice activity. This will also be made available asynchronously, but the knowledge basket points for a Team Up! can only be earned by synchronous, group participation. The 2nd Thursday will be drop-in TA office hours to get help on content and assessments.

Thursday sessions are not recorded, but the Team Up! or other activities content will be made available to everyone. There are several other ways to earn your knowledge basket points if this doesn’t suit your tech setup (e.g. no mic) or time zone.

20.1.1.3 Recorded lectures

20.1.1.3.1 “Where can I find recorded lectures and how soon can I expect them to be available?”

Recorded lectures will be linked on the Course overview page. I aim to have the links up within 24 hours of class. They take some time to process.

20.1.1.4 Sections

20.1.1.4.1 “Do L0101 and L0201 cover the same materials?”

Yes. The only difference is when your synchronous class is. See the below question in  “Attending synchronous class”.

20.1.1.5 Attending synchronous class

20.1.1.5.1 “Can I attend the synchronous class for the other section?”

Yes!*

*If the number of attendees is getting too close to the call cap of 300 (this is a Zoom license thing), preference will be given to those enrolled in the session and others will be asked to leave. Any Team Up! activity bonuses will also be applied—section/session does not matter.

20.1.1.5.2 “Why can’t I access the class/office hour Zoom meeting?”

You must have and be signed in with your University of Toronto Zoom account. Use the ‘SSO’ (single sign-on) option. More info and troubleshooting advice here.

20.1.1.5.3 “Will STA303/STA1002 be able to be completed online-only?”

Yes.

  • STA303 will be a flipped course, with content delivered online and opportunities for activities both in-person (subject to health advice) and online. All assessments will be completed and submitted online.

  • If you are enrolled in an in-person tutorial, you will have an option to attend online instead.

  • Synchronous attendance is NOT required to pass this course, but being able to attend (online) synchronously at the times in the timetable may make things easier for you.

20.1.1.5.4 “Where is your office?”/“Can I come see you in-person?”

At this stage, I cannot offer in-person office hours nor student meetings in my office. Drop-ins are not currently allowed for any instructors or TAs in Statistical Sciences, unless they have told you they have organized another meeting space for this purpose.

20.1.2 Assessments FAQ

20.1.2.1 Knowledge basket FAQ

20.1.2.1.1 “I don’t really understand the knowledge basket, how will that work? Can we earn more than 5 marks?”

The knowledge basket maxes out at 5%, otherwise I get in trouble for giving away too many “free” points. (I know, I wish.)

20.1.2.1.2 “Can we do as many knowledge basket activities as we want in order to gain the full 5%?”

Yes! But do try to plan ahead, as I won’t be adding a bunch of make-up opportunities at the end…part of the goal is to incentivize personalized, regular participation in the course to create the best learning outcomes for you.

20.1.2.1.3 “How fast will we receive grades back for the knowledge basket activities?”

It will depend, but many should be fairly quick—a few days if autograded/based on completion. 1–2 weeks for professional development proposal and evidence & reflection.

20.1.2.1.4 “I am not too sure what ‘pre-knowledge quiz: 80% or workshop’ is supposed to mean.”

If you score 80% or more on the pre-knowledge check, you automatically get 0.5% for doing it + 0.5% for a high score. If you do the check but get less than 80% you get 0.5% for completion, and can still get that additional 0.5% if you come participate in the workshop.

Workshop open to all. And you don’t have to go if you have other plan for filling your basket. It is meant to be helpful to you, though.

And no, you can’t get the workshop AND 80%+ points. One or the other for a max of 1%.

20.1.2.1.5 “What will additional opportunities like speaker series reflections be like?”

May vary depending on the speaker/workshop, but for next week (grad panel) it will likely be attendance + a short Quercus survey. Just confirming a few things still so, TBA. (Watch for more details in announcements.)

20.1.2.1.6 “Are the three phases of each writing assignment graded on completion?”

Yes, but see caveats here in the general instructions for the writing tasks.

20.1.2.1.7 “No questions, although seems to be a hectic course with a lot of minor deadlines.”

If you don’t want lots of little deadlines, you don’t have to have lots of little deadlines! Do the professional development tasks + a few Team Ups! or the professional development task + punctuation art. Throw in the pre-knowledge check and you’re looking great!

20.1.2.2 Portfolios FAQ

20.1.2.2.1 “I am curious about the format of portfolio and assessment and how they will be conducted.”

2022-01-12: More info over the next two weeks, but these will be a lot like a traditional assignment, but with a writing task (the module writing tasks are good indicators and practice) and some additional narrative about what you’re learning/demonstrating. You’ll submit commented code in an Rmd and the associated PDF.

20.1.2.3 Mixed assessments FAQ

20.1.2.3.1 “How does the mixed assessment work? Is it like a midterm?”

Mostly, except there will also be a small amount of pre-work. More information closer too, but the overall goal is to make it more real-world. When you prep for a big meeting in the real world, you might calculate some summary stats, have a few basic plots ready, have some notes, etc. Sure, there are some things where you’ll have to think it through in the moment (in the mixed assessment and in the real world), but I hope having the untimed pre-work helps lessen some of the test anxiety folks can feel. Less mind reading, more targeted prep.

20.1.2.3.2 “What’s the difference between mini and mixed assessments? Are they both term tests?”

One is bigger and one is smaller. ;) But yeah, the mini has one 50 minute timed component while the main mixed assessment will have more pre-work and two 50 minute timed parts.

20.1.2.3.3 Will we get some sample practice problems to work on before the mini-mixed and mixed assessments?

The ‘mini’ is effectively practice problems for the main, but Team Up!s will also be useful practice for the mixed assessments. If there isn’t a Team Up! (which you’ve be able to review asynchronously for study purposes) for a module I’ll offer a practice quiz (no points) option or other practice activity.

20.1.2.3.4 “What exactly will we do in assessment weeks?”

There is no new content or writing module. They are a time to focus your 6–8 hours of weekly STA303 time on the assessment. Mixed: doing the pre-work and the 100 minute (2 x 50) timed component. Project week: working with your group/self, asking questions in office hours. The expectation is that you’ll start the project well before then, but I know the end of the semester can be stressful and busy, so I’m making things as simple and focused for you as I can.

20.1.2.4 Final project FAQ

20.1.2.4.1 “What kind of activities will the final project entail?”

More details before reading week, but you will receive data and a client brief and be asked to create a written report that includes an executive summary as well as a more technical report.

20.1.2.5 Assessments: General FAQ

20.1.2.5.1 “How we can choose path A or B for the marking scheme– would this be on Quercus?”

As long as you’re okay with getting the higher of the two marks, I’ll calculate your grade both ways and give you the higher one.

20.1.2.5.2 “So are all assessment due on Thursday 3:03?”

Almost all the big ones! The mixed assessments have a window, but professional development proposal, professional development evidence & reflection, mini-portfolio, portfolio and project are all due on a Thursday at 3:03 p.m.

20.1.2.5.3 “Are we allowed to answer assignments with programming languages other than R?”

This is an R-based course, so only coding assessments using R will be accepted. (Note: For the professional development task ONLY you could use another language in a blog post/write-up etc., as we are grading your goal-setting and reflection on a communication/collaboration task, not your code directly.)

20.1.2.5.4 “What are the minimum requirements to pass the course?”

50% overall, no special conditions.

20.1.3 Team Up!

20.1.3.1 Troubleshooting & FAQ advice from U of T CTSI

Link to student facing Quercus Support resources.

20.1.3.1.1 “My screen seems to be lagging compared to those of my group members (e.g., I’m not on the same question as the driver/members, the answer I chose does not appear on my group members’ screens, etc.)”

As long as you are logged in, you will receive your grade, so just continue to participate by communicating with your team. Almost always, your device will re-sync with the rest of your team’s devices within a minute or two. If not, refresh your screen once. Repeatedly refreshing is not usually helpful!

20.1.3.1.2 “I’ve been disconnected. Will my quiz progress be saved? Can I re-join my group?”

Enter the Team Up! session again and you will automatically be put back into your group. Your progress will be saved, and you will return to the question you or your group was working on. This is true for the Driver as well as any team member.

20.1.3.1.3 “How do I send my completed quiz results?”

Click the large red “Submit to Quercus” button at the end of the Team Up! quiz.

20.1.3.1.4 “Can we change our group driver?”

You can request a driver change by pressing the red exclamation mark in the top right of your Team Up! quiz.

20.1.3.1.5 “How is the driver for our group chosen, and how can the driver pass the group ID to others in remote classes?”

Group members can decide who will be the Driver (ideally someone with a good internet connection). The Driver can pass the group ID to other members verbally through chat or microphone in breakout rooms.

20.1.3.1.6 “The Driver of my group has to leave unexpectedly or their device has stopped functioning. How do we proceed with the quiz?”

Request for a Driver Change using the red button at the top right of your Team Up! Session. This button only provides help for Driver Changes. You may also need to speak with your instructor or TA.

20.2 Other

20.2.1 References

20.2.1.0.1 “Can you (Prof. Bolton) write me a reference?”

Please read my personal policy here to get a sense of under what circumstances I could write for you, but basically, a good mark in one class is not sufficient and you need to have at least two ‘activities’ with me. If you believe you meet my basic criteria, you can request a reference from me here. I will then accept or decline based on the the information provided.

20.2.1.0.2 “Do you (Prof. Bolton) have any research opportunities available?”

Research/work study/teaching assistant opportunities:

  • See the Department website. The main round of TA recruitment occurs during the summer but there are occasionally emergency postings.

  • Some information about opportunities with me on my website.

  • Reading courses: STA496/497: Readings in Statistics must be registered for as part of special enrolment during July. I will not be taking on any further students.

    • If you’re thinking about the future, I usually consider taking on a small number of STA497 students for a half-credit, year long version.

    • There is much more information about my past students, research interests and what a course with me might be like on my website: https://www.lizabolton.com/reading_courses.html

20.3 Errata

ID Location Note
1 Module 1 Team Up! See corrected asynch answers. Marks were corrected for all groups.
2 HTML version of Syllabus in course guide Mention of a different % for the knowledge basket for Path A. Both paths have a 5% cap.
3 Mini-portfolio instructions

There should be 6 columns, not 5 in the tibble ci_vals.

ci_vals, tibble with 5 6 columns (after all steps completed)

4 Portfolio instructions

There are 5 tasks total (some have sub parts).

In Task 5: Simulating p values, there are only 3 simulated datasets to make, sim1, sim2, sim3. A previous version of the instructions had 4 (I simplified the task from my original plan).

Re-pulling the template through the template link will update your instruction document.

Note: The mention of sim4 in the sim_desc dataset IS intentional. Notice the instruction to “Make any alterations necessary to all_sim so that you can join on the dataset sim_description to provided better labels for each simulation (but without including any irrelevant labels).”

Piazza: https://piazza.com/class/kx47tj4fmy65dg?cid=212

5 Portfolio instructions

Task 2a) Missing fragments:

“Use kable to display the table nicely and add an appropriate caption.”

agg_mod, a main effects model where yield_avg_int is the response and patch and treatment are the predictors. Use appropriate data aggregated across both patch and treatment.”

var_ab, variance in yield explained by the interaction between patch and treatment, after accounting for the fixed effects and other sources.

Piazza: https://piazza.com/class/kx47tj4fmy65dg?cid=216

6 Portfolio instructions

Task 3a) Test 3:

In the original version the 3rd test was shown as interpret_ci(10, 20, 95, 99) in the template. The instructions say interpret_ci(10, 20, -1, tibble(stat = 3)) and is the version that should be used.

Piazza:
https://piazza.com/class/kx47tj4fmy65dg?cid=238

7 Statdew Valley

In the Summary tables, the model formula should read \(\beta_1\text{song}_i\), not \(\beta_2\).

Piazza: https://piazza.com/class/kx47tj4fmy65dg?cid=241

At the end of 16.4.5.6.5 Summary of all our calculated error variances:

Added a little more information AND some example code.

Piazza: https://piazza.com/class/kx47tj4fmy65dg?cid=240

8 Portfolio instructions

Task 2a)

my_patch, your ‘patch’ of strawberries, grown based on a set.seed that is the last THREE digits of your numeric student ID.

my_patch, your ‘patch’ of strawberries, grown based on using your last3digplus as the seed (created in the first part of the task).

9 Portfolio instructions

Task 5: Q-Q plots should be 3x1 not 2x1.

Piazza: https://piazza.com/class/kx47tj4fmy65dg?cid=285