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Welcome to the course website for Sta-209-02 (Applied Statistics). You can find the course syllabus linked below:

You can locate course content by scrolling, or by using the navigation bar in the upper left.

Please note that some material will not be posted until we’ve reached that point in the course.

Course Materials

Course meetings typically involve a short lecture followed by a lab activity. The labs from a given week are generally due on Friday, and the corresponding homework assignment is due on the following Monday. Unless otherwise mentioned, all assignments are due by 11:59pm (midnight) on their due date.

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Exam #1 Content

Week 0/1 - Statistical Thinking and Simple Hypothesis Tests

Date Lecture Lab Resources
Fri 8/29 Introduction to Statistical Thinking Lab 1 - A first hypothesis test
Mon 9/1 No class (Labor Day)
Wed 9/3 Hypothesis Testing Finish/discuss Lab 1 R Basics from Modern Statistics with R
Fri 9/5 Lab 2 - Intro to R and one-sample categorical data

Assignments and Deadlines:

  • Labs 1 and 2 are due Friday 9/5 by 11:59pm (submit via Canvas)
  • Homework 1 is due Monday 9/8 (submit via Canvas)

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Week 2 - More Hypothesis Testing

Date Lecture Lab Resources
Mon 9/8 Lab 3 - More R and one-sample quantitative data Data visualization from R for Data Science and ggplot Cheatsheet
Wed 9/10 One-sample Z and T tests Finish/discuss Lab 3 IMS Z-test for a single proportion
Fri 9/12 Lab 4 - One-sample hypothesis tests in R

Assignments and Deadlines:

  • Lab 3 is due Friday 9/12 by 11:59pm
  • Lab 4 is due Monday 9/15 by 11:59pm
  • Homework 2 is due Monday 9/15 by 11:59pm

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Week 3 - Two-sample Tests

Date Lecture Lab Resources
Mon 9/15 Finish/discuss Lab 4
Wed 9/17 Two-sample Z and T tests Lab 5 - Analyzing two-sample data in R
Fri 9/19 Finish/discuss Lab 5
  • Lab 5 is due Monday 9/22 at 11:59pm
  • Homework 3 is due Monday 9/22 by 11:59pm

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Week 4 - Correlation and Regression

Date Lecture Lab Resources
Mon 9/22 Correlation
Wed 9/24 Simple Linear Regression Lab 6 - Correlation and Simple Linear Regression
Fri 9/26 Finish/discuss Lab 6

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Week 5 - Wrap-up and Exam 1

Date Lecture Lab Resources
Mon 9/29 Study Design and Contingency Tables
Wed 10/1 Review Session
Fri 10/3 Exam 1

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Exam #2 Content

Week 6 - Contingency Tables and Chi-Squared Tests

Date Lecture Lab Resources
Mon 10/6 Study Design and Contingency Tables (continued) Lab 7 - Contingency Tables
Wed 10/8 Finish/discuss Lab 7
Fri 10/10 Chi-squared Tests (Part 1 - Goodness of Fit) Lab 8 - Chi-squared Tests
  • Lab 7 is due Friday 10/10
  • Lab 8 is due Wednesday 10/15
  • Homework 5 is due Wednesday 10/15

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Week 7: Analysis of Variance

Date Lecture Lab Resources
Mon 10/13 Chi-squared Tests (Part 2 - Independence) Finish/discuss Lab 8
Wed 10/15 One-way ANOVA Lab 9 - ANOVA
Fri 10/17 Finish/discuss Lab 9
  • Lab 8 is due Wednesday 10/15
  • Lab 9 is due Friday 10/17
  • Homework 6 is due Monday 11/3
    • Note: this assignment will eventually contain three questions, but I’m posting the question focused on ANOVA in case you wanted to work on it.

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Week 8: Multiple Comparisons and Data Transformations

Date Lecture Lab Resources
Mon 10/27 Testing Errors and Multiple Comparisons Lab 10 - Outliers, Transformations, and Multiple Comparisons UVA article on interpretting log-transformations
Wed 10/29 Finish/discuss Lab 10
Fri 10/31 Project Exploratory Analysis
  • Homework 6 is due Monday 11/3
  • Lab 10 is due Friday 10/31
  • An exploratory analysis of your project data is due Friday 10/31. If you are collecting your own data you should aim to have at least some of it collected before then.

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Week 9: Confidence Intervals

Date Lecture Lab Resources
Mon 11/3 Confidence Intervals Lab 11 - Confidence Intervals
Wed 11/5 Finish/discuss Lab 11
Fri 11/7 Bootstrapping IMS chapter on Bootstrapping

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Week 10: Wrap-up and Exam 2

Date Lecture Lab Resources
Mon 11/10 Lab 12 - Bootstrapping
Wed 11/12 Exam 2 Review Finish/discuss Lab 12 (if needed)
Fri 11/14 Exam 2

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Exam #3 Content

Week 11: Confounding and Stratification

Date Lecture Lab Resources
Mon 11/17 Lab 13 - Confounding, Stratification, and Adjusted Effects
Wed 11/19 Multivariable Regression Finish/discuss Lab 13
Fri 11/21 Lab 14 - Categorical Predictors in Multivariable Regression
  • Homework 8 is due Monday 11/24
  • Lab 13 is due Friday 11/21

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Week 12: Multivariable Regression

Date Lecture Lab Resources
Mon 11/24 Comparing Multivariable Regression Models Lab 15 - Inference for Multivariable Regression
Wed 11/26 Finish Lab 15/project check-in
Fri 11/28
  • Lab 14 is due Wednesday 11/26
  • Lab 15 is due Monday 12/1
  • Homework 9 is due Friday 12/5

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Week 13: Logistic Regression

Date Lecture Lab Resources
Mon 12/1 Job Candidate Visit
Wed 12/3 Logistic Regression Lab 16 - Logistic Regression Logistic Regression in IMS
Fri 12/5 Finish/discuss Lab 16
  • Homework 9 is due Friday 12/5
  • Lab 16 is due Friday 12/5
  • Exam 3 is on Monday 12/8
    • There will be no practice exam this time (you should now be familiar enough with the format)
    • Here is a study guide with a list of topics to study and links to practice questions from previous exams I’ve given on this content

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Week 14: Project presentations and Exam 3

Date Lecture Lab Resources
Mon 12/8 Exam 3
Wed 12/10 Project Presentations
Fri 12/12 Project Presentations

Our final exam meeting time is Thursday 12/18 from 9am-noon (in Noyce 2402). Recall that you are not required to attend, but may retake alternate versions of any of our exams during this time to replace your previous score (see syllabus for details).

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Tentative Exam Dates

  • Exam 1 - Friday 10/3
  • Exam 2 - Friday 11/14
  • Exam 3 - Monday 12/8

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Project

Information and deadlines for the course project are found here

  • The first deadline is to decide upon your group members (2 or 3 people per group) by Monday 10/6
  • The second deadline will be to submit a proposal for your project topic by Friday 10/10
  • The third deadline is to submit your exploratory analysis by Friday 10/31
  • Project presentations will take place on Wed 12/10 and Fri 12/12.