STAT 201: Intro. to Statistics and Data Science
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Schedule

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Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week 10 Week 11 Week 12
Week Date In-class material Coding practice Assignments
1 M 9/08
  • Topic: Welcome!
  • Directions for printing at bottom
  • Submit Problem Set 0 by tomorrow 9/09 11:59pm class
  • Try to install R and RStudio before Thursday’s 9/11 class using these instructions
W 9/10
  • Topic: Study design Study design (pdf here)
  • Install R and RStudio before Thursday class using these instructions
  • Wednesday problems on Problem Set 1
R 9/11
  • Topic: Programming toolkit (no need to take notes!)
    • RStudio help sheet
  • R and .qmd basics
    • Download the following .qmd template and drag to your new STAT 201 folder
  • Intro to R and Quarto Markdown. Due Friday 9/12 at 11:59pm!
  • Thursday problems on Problem Set 1
2 M 9/15
  • Topic: Numerical data (part 1) (pdf here)
    • Code: here
  • Monday problems on Problem Set 2
W 9/17
  • Topic: Numerical data (part 2) (pdf here)
  • Numerical data. Due tonight at 11:59pm!
  • Wednesday problems on Problem Set 2
R 9/18
  • Topic: Introduction to ggplot (pdf here)
    • .qmd template to follow live code
  • Introduction to ggplot
  • Thursday problems on Problem Set 2, i.e. the problems in the following .qmd
    • For easier reading: the rendered R problems
3 M 9/22
  • Topic: Categorical data (pdf here)
  • Visualizing categorical data in ggplot
  • Monday problems on Problem Set 3
W 9/24
  • Partner programming: Activity 1
  • Topic: Data wrangling (pdf here)
    url_file <- "https://raw.githubusercontent.com/midd-stat201a-fall25/midd-stat201a-fall25.github.io/refs/heads/main/data/amazon_books.csv"

  • Live code from today
  • Data wrangling practice (due tomorrow night!) Note: 0, 3 and 4 are doable after today!
  • Wednesday problems in Problem Set 3
  • Rendered version of .qmd template for easier reading!
R 9/25
  • Partner programming: Activity 2
  • Topic: More wrangling
    • Live code from today
    • Extra code with descriptions!
  • Finish data wrangling coding practice
  • Thursday problems in Problem Set 3
4 M 9/29
  • Partner programming: Activity 3
  • Topic: Intro to Probability (pdf here)
  • None for today; bigger set for Wednesday.
W 10/01
  • Introduce Midterm 1
  • Topic: Finish Intro to Probability
  • Topic: Conditional Probability (pdf here)
  • Wednesday problems in Problem Set 4
R 10/02
  • Topic: Finish Conditional Probability
  • Topic: Simpson’s Paradox (pdf here)
  • url_file <- "https://raw.githubusercontent.com/midd-stat201a-fall25/midd-stat201a-fall25.github.io/refs/heads/main/slides/data/ucb_admissions.csv"

  • Joins, case_when, tables due tomorrow (10/03 at 11:59pm)
  • Thursday problems in Problem Set 4 Note there was a typo in the .qmd; R Exercise 5 should read “Re-create your first visualization from Exercise 1”!
  • Study for Midterm 1
5 M 10/06
  • Partner programming: Activity 4
  • Topic: Sampling distributions (pdf here)
  • None! Ensure you sign up for oral midterm time slot.
W 10/08
  • No class!
  • Study for midterm.
R 10/02
  • Midterm 1: written component
  • None! Enjoy Fall break!
6 M 10/13
  • Topic: Bootstrap (pdf here)
    • Code
  • Monday problems on Problem Set 5
W 10/15
  • Topic: Bootstrap Confidence Intervals (pdf here)
  • Bootstrap CIs
  • Wednesday problems on Problem Set 5
R 10/16
  • Topic: Intro to Hypothesis Testing (pdf here)
  • Handout here
  • Thursday problems on Problem Set 5
7 M 10/20
  • Wrap-up previous slides
  • Topic: Randomization tests (pdf here)
    • Handout here
  • Monday problems on Problem Set 6
  • A rendered version of the .qmd for easier reading.
W 10/22
  • Topic: Finish up randomization tests from Monday
  • Continue working on Problem Set 6
R 10/23
  • Topic: Simulation-based test for one mean (pdf here)
  • Handout here
  • Thursday problems on Problem Set 6
8 M 10/27
  • Topic: Normal distribution (no slides)
    • Handout here. Solutions to practice problems here.
    • Code for Normal probabilities
  • Introduce final project!
  • Monday problems on Problem Set 7 Update 10/31: there was a typo on Problem 3. Should be standard deviation of $7000.
  • Project group by Thursday
W 10/29
  • Topic: Central Limit Theorem, CLT-based CI for single proportion (pdf here)
    • Handout here
  • Continue working on Problem Set 7 Update 10/31: there was a typo on Problem 3. Should be standard deviation of $7000.
  • Project group by tomorrow class!
R 10/30
  • Topic: Wrap-up CLT-based CI for single proportion
  • Topic: HT for single proportion (pdf here)
    • Handout here
  • Thursday problems on Problem Set 7. Update 10/31: there was a typo on Problem 3. Should be standard deviation of $7000.
  • Work on project proposal
9 M 11/03
  • Topic: CLT-based inference for single mean (pdf here)
    • Handout here
    • Code for implementing t-test example
  • Monday problems on Problem Set 8.
  • Work on project proposal.
W 11/05
  • Topic: CLT-based inference for differences in two proportions or means (pdf here)
    • Handout here
  • Wednesday problems on Problem Set 8.
  • Project proposal due tonight!
R 11/06
  • Topic: Finish CLT-based inference for difference in means
  • Topic: Chi-squared test (pdf here)
    • Handout here
  • Thursday problems on Problem Set 8
10 M 11/10
  • Topic: Introduction to Simple Linear Regression (pdf here)
    • Handout here
  • Monday problems on Problem Set 9 (last one!)
W 11/12
  • Topic: SLR interpretation (pdf here)
    • Handout here
  • Wednesday problems on Problem Set 9
R 11/13
  • Topic: Inference for SLR (pdf here)
    • Handout here
    • Code for SLR
  • SLR in R
  • Thursday problems on Problem Set 9
  • A rendered version of the .qmd for easier reading.
11 M 11/17
  • Topic: Multiple linear regression (pdf here)
    • Handout here
  • Finish Problem Set 9
  • Study for Midterm 2
W 11/19
  • Topic: Time to study for Midterm 2
  • Go over deliverables for after Thanksgiving break
  • Continue studying for Midterm 2
R 11/20
  • Midterm 2 (in class)
  • Enjoy break!
12 M 12/01
  • Topic: pivoting and joining data
  • Project work
  • Work on project
W 12/03
  • Project work (explain presentation)
  • Submit draft of Intro + Data Collection methods by 12:00pm
  • Prepare peer review feedback by class tomorrow
R 12/04
  • CRFs
  • Project peer review
  • Continue working on project
  • Rough draft of Methods due Sunday