Schedule

Week 1: 1/24

  • Friday: Introductions; a taste of R and visualization

Week 2: 1/27 - 1/31

  • Monday: Univariate visualization and summary measures
    Before class: Follow all instructions on the Software Setup page. Read sections 1.1, 2.1-2.4, and 2.6 in the STAT 155 Notes, and answer the Moodle questions under Reading Checks > Data; Univariate Summaries and Visualization.
  • Wednesday: Bivariate visualization and summary measures
    Before class: Read sections 2.5, 2.7, and 2.8 in the STAT 155 Notes, and answer the Moodle questions under Reading Checks > Bivariate Summaries and Visualization.
  • Friday: Continue with bivariate visualization.
    No new reading or Moodle questions. Just work on Homework 1.

Homework 1 (on Moodle) is due Friday, January 31 at midnight.

Week 3: 2/3 - 2/7

  • Monday: Simple linear regression models
    Before class: Read sections 3.1 to 3.6 in the STAT 155 Notes, and answer the Moodle questions under Reading Checks > Simple Linear Regression (Part 1).
  • Wednesday: Model evaluation and categorical predictors
    Before class: Read section 3.8 in the STAT 155 Notes only up through section 3.8.1 Indicator Variables, and answer the Moodle questions under Reading Checks > Simple Linear Regression (Part 2).
  • Friday: Quiz 1 in class

Homework 2 (on Moodle) is due Thursday, February 13 at midnight.

Week 4: 2/10 - 2/14

Reminder: Homework 2 (on Moodle) is due Thursday, February 13 at midnight.

  • Monday: Multiple linear regression models
    Before class: Read sections 3.8.1 (Indicator Variables), 3.8.3 (Causation), and 3.8.6 (Dealing with Non-Linear Relationships) in the STAT 155 Notes, and answer the Moodle questions under Reading Checks > Multiple Linear Regression.
  • Wednesday: Multiple linear regression models
    Before class: No new reading.
  • Friday: Interaction models
    Before class: Read section 3.8.2 (Interaction Variables) in the STAT 155 Notes, and answer the Moodle questions under Reading Checks > Interaction Models.

Week 5: 2/17 - 2/21

No new readings this week.

Homework 3 is due Sunday, February 23 at midnight.

  • Monday: Review multiple linear regression models and interaction.
  • Wednesday: Variable redundancy, multicollinearity, and adjusted R-squared.
  • Friday: Quiz 2 in class

We’ll shift to new groups next week.

Week 6: 2/24 - 2/28

New groups starting this week.

For class on Monday, bring a pair of earbuds/headphones, and come prepared to listen to some loud music as part of an experiment!

No class on Friday, but you must go to 2 capstone talks and submit a short response. On Moodle see Homework > Capstone Days.

  • Monday: Class experiment! Quantifying uncertainty
    Before class: Read sections 2.7.3 (Is this a Real Difference?) and 3.8.5 (Is the Difference Real?) in the STAT 155 Notes, and answer the Moodle questions under Reading Checks > Quantifying Uncertainty.
  • Wednesday: Causal inference
    Before class: Read sections 1.6 (Causal Inference) and 3.8.3 (Causation) in the STAT 155 Notes, and answer the Moodle questions under Reading Checks > Causal Inference.

Week 7: 3/2 - 3/6

No new readings this week - same topics that you had readings for last week.

  • Monday: Bootstrapping.
  • Wednesday: Causal inference.
  • Friday: Quiz 3 in class

Week 8: 3/9 - 3/13

Spring Break: 3/16 - 3/27

Week 9: 3/30 - 4/3

If Google/YouTube access is a problem, all videos and slides are also available on Moodle in the “Videos & Slides” section. All Moodle questions are in the “Reading / Video Checks” section.

  • Monday: Probability and odds.
    • Video: Probability Essentials (YouTube link, Slides)
    • Moodle questions: Probability Essentials
  • Wednesday: Introduction to logistic regression.
  • Friday: Continuing with logistic regression. No new video or Moodle questions.

Week 10: 4/6 - 4/10

  • Monday: Multiple logistic regression
  • Wednesday: Sampling distributions and the normal distribution
  • Friday: The central limit theorem and confidence intervals
    • Video: Central Limit Theorem (Slides)

Week 11: 4/13 - 4/17

  • Monday: Linear regression assumptions
  • Wednesday: Hypothesis testing
  • Friday: Continuing with hypothesis testing.

Week 12: 4/20 - 4/24

  • Monday: Errors in hypothesis testing
  • Wednesday: Continuing with hypothesis testing errors.

From Friday 4/24 to the end of the semester, open office hours will be held in place of normal Zoom sessions.