Math/Stat 442 Daily Content
Math/Stat 442 Daily Content
This is a subpage of the Math/Stat 487/442 Course page. If you need overall syllabus info about Math/Stat 442, click here.
Embedded Files
This is a subpage of the Math/Stat 487/442 Course page. If you need overall syllabus info about Math/Stat 442, click here.
This course meets in Morken 26
M, W, F 9:30 - 10:30 AM
Student hours are
M, W, F 10:30-11:15am
Th 11:30-12:15pm;
& by appointment! (in person or virtual)
Zimmerman, P. (2020) Books on Brown Wooden Shelf. Licensed by Pexels: free to use. Retrieved from Pexels.
Announcements
Announcements
- Seating Chart link
- Electronic Undergraduate Statistics Research Conference (eUSR) is on Nov 7
- Mid Semester Break (no class) Oct 17
To Do
To Do
- HW 04 due today (Friday)
- email me requests for new groups
Oct. 3: Regression Inference
Oct. 3: Regression Inference
Learning Goals:
Learning Goals:
Develop fluency with interpretations of the summary (lm()) output.
Agenda:
HW 03 comments...
Questions on HW 04
Activity 7 (submit a hard copy, one per group.)
data link is here.
Zimmerman, P. (2020) Books on Brown Wooden Shelf. Licensed by Pexels: free to use. Retrieved from Pexels.
Announcements
Announcements
- Seating Chart link
- Electronic Undergraduate Statistics Research Conference (eUSR) is on Nov 7
To Do
To Do
- HW 04 due Friday
Oct. 1: Regression Inference
Oct. 1: Regression Inference
Learning Goals:
Learning Goals:
Develop fluency with interpretations of the summary (lm()) output.
Agenda:
New Groups:
- Share how your group should correctly refer to you.
- What is your favorite book & why do you like it?
HW 03 comments
More Questions on HW 04?
Activity 7 (submit a hard copy, one per group.)
data link is here.
Zimmerman, P. (2020) Books on Brown Wooden Shelf. Licensed by Pexels: free to use. Retrieved from Pexels.
Announcements
Announcements
Seating Chart link for new groups
Electronic Undergraduate Statistics Research Conference (eUSR) is on Nov 7
To Do
To Do
Activity 06 due today
HW 04 due Wednesday
Sept. 29: Regression Inference
Sept. 29: Regression Inference
Learning Goals:
Learning Goals:
Make sense of prediction & confidence intervals.
Agenda:
New Groups:
Share how your group should correctly refer to you.
If you were to give a TED talk right now, with no preparation, on a topic, what would it be?
Warm up question: Which would you feel more confident predicting: the mean gpa of PLU students, or the gpa of one randomly selected student that you know nothing about?
- (The above warm up question illustrates the difference between a confidence interval and a prediction interval.)
Discuss any HW 04 questions in groups
Questions on HW 04
Review of z/t* (slides we probably won't use)
Zimmerman, P. (2020) Books on Brown Wooden Shelf. Licensed by Pexels: free to use. Retrieved from Pexels.
Announcements
Announcements
Postponing new groups to Monday
HW and Activity deadlines postponed
To Do
To Do
Due soon
Activity 6 (on G.C. ) due Friday?
HW 04 (on G.C.) due ... TBD?
Sept. 26: Anova and R^2
Sept. 26: Anova and R^2
Learning Goals:
Learning Goals:
Develop fluency with the anova() function in R.
Calculate and interpret the coefficient of determination
Agenda:
Continue NJ's lecture on Degrees of Freedom & ANOVA, this time with attention to R^2, the coefficient of determination. (see NJ's code here)
Revisit deadlines depending on time & questions.
Zimmerman, P. (2020) Books on Brown Wooden Shelf. Licensed by Pexels: free to use. Retrieved from Pexels.
Announcements
Announcements
Seating Chart link for new groups starting Friday
Please let me know if I'm not referring to you correctly!
https://databsconf.com/ today!!!
To Do
To Do
Due soon
Activity 6 (on G.C. ) due Wednesday?
HW 04 (on G.C.) due Friday?
Sept. 24: ANOVA
Sept. 24: ANOVA
Learning Goals:
Learning Goals:
Develop fluency with the anova() function in R.
Calculate and interpret the coefficient of determination
Agenda:
NJ's lecture on Degrees of Freedom & ANOVA
Revisit deadlines depending on time & questions.
Zimmerman, P. (2020) Books on Brown Wooden Shelf. Licensed by Pexels: free to use. Retrieved from Pexels.
Announcements
Announcements
Seating Chart link
To Do
To Do
Due soon
Activity 6 (on G.C. ) due Wednesday
HW 04 (on G.C.) due Friday
Sept. 22: ANOVA
Sept. 22: ANOVA
Learning Goals:
Learning Goals:
Develop fluency with the anova() function in R.
Calculate and interpret the coefficient of determination
Agenda:
Review: correlation coefficients
Pixabay (2014) Aerial View of Baseball Field. Licensed by Pexels: free to use. Retrieved from Pexels.
Announcements
Announcements
- Save the date! Nov 7 eUSR (see flyer below)
- Brief Comment on plots in this class.
- MEA Reports comment
- The ultimate goal was to choose a model, not a measure
- Modeling, especially with transformations, is not a series of tests and procedures.
To Do
To Do
- Read Ch. 01 (if not already)
HW 03 "Due" Friday
Activity 4 on G.C.
- Pausing this one for now... purposefully has no due date on GC
Activity 5 on G.C. due Friday
- Last chance (I hope) to email NJ group/seating requests.
Sept. 19: Linear Models & Transformations
Sept. 19: Linear Models & Transformations
Learning Goals:
Learning Goals:
Develop fluency with the lm() function in R.
Transform variables to meet conditions for a linear model
Evaluate whether a linear model is appropriate.
Agenda:
Discuss in groups:
- What is something you have created or built lately that you're proud of or surprised by and why?
- Residuals vs. Fitted Values Plot
- What is it and why use fitted values instead of x?
NJ's R tips
- plot() function:
- (x,y) arguments or (y~x)
- I recommend the latter
- lm() function:
- when to use data= argument
- summary( my_lm )
- plot() function:
HW Questions
Finish Activity 05: Intro to Linear Models.
Check in: how are we doing on HW deadlines, activity deadlines?
- If time: Start Activity 06 (the really important one!).
Pixabay (2014) Aerial View of Baseball Field. Licensed by Pexels: free to use. Retrieved from Pexels.
Announcements
Announcements
Anyone still need help with googlesheets4 package or Stat2Data packages?
How to view comments in google classroom
If time/relevant: R tips
- how to think about installing and loading packages
- command prompt and escaping out
To Do
To Do
Read Ch. 01 (if not already)
HW 03 "Due" Friday
Activity 4 on G.C.
- Pausing this one for now to focus on Activity 05, which is preparation for the HW due Friday.
- We will have some time on Friday to work on anything, including this.
Email NJ if you have requests for the next groups.
- Proximity to window or door
- Position relative to the screen
- Personnel to avoid to support your learning (I don't need details)
- Proximity to outlets
Sept. 17: Linear Models & Transformations.
Sept. 17: Linear Models & Transformations.
Learning Goals:
Learning Goals:
Develop fluency with the lm() function in R.
Transform variables to meet conditions for a linear model
Evaluate whether a linear model is appropriate.
Agenda:
Go through Ch. 01 together.
- Conditions for a linear model (see Ch. 1 of Cannon et al.)
Activity 05: Intro to Linear Models.
Announcements
Announcements
Coffee Donuts Fruit (free!) in ERB on September 15 11:45am-12:15pm
To Do
To Do
Read Ch. 1 before next class
- It introduces a lot of notation that we will build upon.
- Bring your questions about the chapter to class on Wed!
Due Friday 3:00pm
HW 03
Email NJ if you have requests for the next groups.
- Proximity to window or door
- Position relative to the screen
- Personnel to avoid to support your learning (I don't need details)
- Proximity to outlets
Sept. 15: MEA presentations & loading data.
Sept. 15: MEA presentations & loading data.
Learning Goals:
Learning Goals:
Think about different measures of model fit
Import data frames from the web using packages.
Install and load Stat2Data package (and use data from it.)
Agenda:
HW01 remarks
Model fit MEA Presentations
- Abi's group
- Morgan's group
- Yuta's group
Get started on Activity 04: Packages and Loading Data...
- If you need an intro to packages (slides)
- You don't need to finish it today, you just need to get set up with the googlesheets4 package & the data package from the book
Your choice:
Any remaining HW2 Questions
Continue working on Activity 04
Start working on HW 03
Announcements
Announcements
- Submit to the CAUSE cartoon contest! https://www.causeweb.org/cause/caption-contest/september/2025/submissions
Coffee Donuts Fruit (free!) in ERB on September 15 11:45am-12:15pm
- Interest meeting for the International Collegiate Programming Contest (ICPC) Tuesday September 16th at 11:30 AM in MCLT 210 (See flyer @ right)
To Do
To Do
Activity 01: Measure Creation Report Due Friday (one per group)
HW 02 due Monday (postponed)
Activity 02: Intro to R (OPTIONAL)
Activity 03: Data Structures due Friday
(work in pairs; submit individually)
Challenge: try to do it in Quarto?
MEA 3-slide presentations on Monday I hope?
Sept. 12: HW, MEA Wrap up, & Quarto Presentations
Sept. 12: HW, MEA Wrap up, & Quarto Presentations
Learning Goals:
Learning Goals:
Wrap up your MEA
Get to know Quarto
Agenda:
Check in: A lot of stuff is due; how are you doing?
HW Questions
Finish MEA with your group.
Make a 3-slide presentation of your modeling MEA results using quarto.
Time to finish Activity 03
Announcements
Announcements
Reike photo contest! (see flyer)
Time for HW questions on Friday; email NJ in advance if you can
Coffee Donuts Fruit (free!) in ERB on September 15 11:45am-12:15pm
To Do
To Do
Activity 01: Measure Creation Report Due Friday (one per group)
HW 02 is ready on G.C.... due Friday
Activity 02: Intro to R (OPTIONAL)
Activity 03: Data Structures due Friday
(work in pairs; submit individually)
Challenge: try to do it in Quarto?
Sept. 10: R & Quarto
Sept. 10: R & Quarto
Learning Goals:
Learning Goals:
Develop fluency working with vectors
Develop fluency working with data frames
Get to know Quarto
Agenda:
Intro to Quarto (notes)
Finish MEA with your group.
Challenge: Make a 3-slide presentation of your modeling MEA results using quarto.
Announcements
Announcements
Book is in ERB (Math Center, across from my office).
To Do
To Do
Update your version of R and R Studio
Skim OPTIONAL Activity 2 for anything you didn't already know about R, and complete it if you aren't familiar with the material.
You do not need to turn in anything for Activity 2.
HW 02 is ready on G.C.
Please submit as a pdf to GC
Sept 8: What makes good fit?
Sept 8: What makes good fit?
Learning Goals:
Learning Goals:
Create measures to evaluate models
Evaluate measures of model fit
Agenda:
In Groups:
Share/remind us how we should refer to you
Share about your favorite PLU class NOT in your major or minor and why you liked it.
Finish (Hopefully!) Model Selection MEA (in Groups).
Announcements
Announcements
Please correct me if I refer to you incorrectly!
in-person or an email nudge is great!
Info sheet concerns:
Yes, you can choose your own group for end of course project
Yes, we will use R extensively but I have a lot of resources, so come talk to me!
Nat Sci opportunity fair today in the grass outside Reike 2-3pm
To Do
To Do
Reminder! Due by Thursday (yesterday!)
Join Google Classroom
Reflective Report #1 (~15 min)
Read Syllabus
HW 01 due Friday at 3pm (soft). Submit as PDF to Google Classroom
Update your version of R and R Studio
Sept 5: What makes good fit?
Sept 5: What makes good fit?
Learning Goals:
Learning Goals:
Create measures to evaluate models
Evaluate measures of model fit
Agenda:
In Groups:
Share/remind us how we should refer to you
Share about your favorite pet & why you liked it. (If no pets? Share your Favorite family member or friend)
Discuss HW: what was the hardest question for you and why do you think it was the most difficult?
Discuss remaining HW questions as a large group
Work on Model Selection MEA (in Groups).
Announcements
Announcements
Seating Chart link
Welcome! I am Dr. Justice!
Important websites:
How to reach the syllabus
How to reach this Weekly Content Page
Best way to reach NJ is via email
If you have a question about coursework be sure to include the prompt in the email.
Student (Office) Hours:
(See top of this page)
To Do
To Do
Due by Thursday (7:30pm):
Join Google Classroom
Reflective Report #1 (~15 min)
Read Syllabus
HW 01 due Friday at noon. Submit as PDF to Google Classroom
Sept 3: Introduction
Sept 3: Introduction
Learning Goals:
Learning Goals:
Get to know some of the course structure, etc.
Get to know two important websites (G.C. and this one!)
Develop measures to evaluate models
Agenda:
Intro to the Course (slides intentionally not included).
Model Selection MEA (in Groups).
Get to know groups/ assign roles...
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