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Welcome to the course website for Sta-209 (Applied Statistics) Sections 01 and 03. 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

Many class meetings involve both lab and lectures. Partners will be assigned for most labs, which will will typically be due on Mondays. Homework will typically be due on Friday at midnight (with some exceptions surrounding exams).

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Exam #1 Content

Week 1 - Data Basics and an Introduction to R

Date Lecture Lab Resources
Mon 1/20 No class (MLK Day)
Wed 1/22 Data Basics Lab 1 - Introduction to R IMS Ch 1, HOPR Ch 2
Fri 1/24 Univariate Summaries and Visualizations Lab 2 - Intro to ggplot and R Markdown

Assignments and Deadlines:

  • Labs 1 and 2 are due Monday 1/27 at 11:59pm
  • Homework 1 is due Friday 1/24 at 11:59pm

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Week 2 - Data Visualizations and Contingency Tables

Date Lecture Lab Resources
Mon 1/27 Lab 3 - Bivariate Visualizations and Finding Association IMS Ch 4 and 5
Wed 1/29 Contingency tables Lab 4 - Contingency Tables
Fri 1/31 No class (faculty retreat)

Assignments and Deadlines:

  • Labs 3 and 4 are due Tuesday 2/4 at 11:59pm
  • Homework 2 is due Friday 1/31 at 11:59pm

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Week 3 - Correlation and Simple Linear Regression

Date Lecture Lab Resources
Mon 2/3 Finish Lab 4 IMS Ch 7
Wed 2/5 Correlation Lab 5 - Correlation and Regression
Fri 2/7 Simple Linear Regression Finish Lab 5

Assignments and Deadlines:

  • Labs 5 is due Monday 2/10 at 11:59pm
  • Homework 3 is due Friday 2/7 at 11:59pm

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Week 4 - Marginal vs. Conditional Effects, Stratification, and Multivariable Linear Regression

Date Lecture Lab Resources
Mon 2/10 Lab 6 - Marginal vs. Conditional Effects and Stratification
Wed 2/12 Multivariable Regression (part 1) Lab 7 - Multivariable Regression IMS Ch 8
Fri 2/14 Lab 7 (cont.)

Assignments and Deadlines:

  • Labs 6 is due Monday 2/17
    • Lab 7 is not due until Wednesday 2/19
  • Homework 4 is due Friday 2/14 at 11:59pm

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Week 5 - Multivariable Linear Regression (cont.) and Exam 1

Date Lecture Lab Resources
Mon 2/17 Multivariable Regression (part 2) Finish Lab 7
Wed 2/19 Exam 1 Review
Fri 2/21 Exam 1

Assignments and Deadlines:

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Exam #2 Content

Week 6 - Probability and Sampling from a Population

Date Lecture Lab Resources
Mon 2/24 Random Processes, Probability, and Sampling Lab 8 - Sampling
Wed 2/26 Lab 9 - Normal Distributions and Central Limit Theorem IMS Ch 13.2
Fri 2/28 Finish Lab 9 3Blue1Brown Video about CLT

Assignments and Deadlines:

  • Labs 8 and 9 are due on Monday 3/3
  • Homework 5 is due Friday 2/28 at 11:59pm

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Week 7 - Using Confidence Intervals to Draw Conclusions

Date Lecture Lab Resources
Mon 3/3 Interval Estimation Lab 10 - Confidence Intervals for a Proportion
Wed 3/5 Student’s t-distribution Lab 11 - Confidence Intervals for Other Descriptive Statistics IMS Ch 12
Fri 3/7 Finish Lab 11
  • Labs 10 and 11 are due Friday 3/7 at 11:59pm
  • Homework 6 is due Friday 3/7 at 11:59pm

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Week 8 - Hypothesis Testing

Date Lecture Lab Resources
Mon 3/24 Hypothesis Tests and \(p\)-values
Wed 3/26 Decision Errors Lab 12 - Using Simulations to find \(p\)-values IMS Ch 12
Fri 3/28 Lab 13 - Using Probability Models to find \(p\)-values
  • Lab 12 is due Monday 3/31 at 11:59pm
    • Lab 13 is not due until Friday 4/4
  • Homework 7 is due Friday 3/28 at 11:59pm

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Week 9 - More Hypothesis Testing

Date Lecture Lab Resources
Mon 3/31 Candidate Visit (flex day)
Wed 4/2 Lab 14 - Transformations, Outliers, and Non-parametric Tests
Fri 4/4 Finish Lab 14/Exam 2 Review

Week 10 - Exam 2 and Chi-squared Tests

Date Lecture Lab Resources
Mon 4/7 Exam 2
Wed 4/9 Chi-Squared Tests Lab 15 - Chi-Squared Tests
Fri 4/11 Finish Lab 15

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Exam #3 Content

Note: Chi-squared tests from Week 10 are included on Exam #3

Week 11 - Analysis of Variance (ANOVA)

Week 12 - Statistical Inference for Regression Models

Week 13 - Logistic Regression

Week 14 - Exam 3 and Project Presentations

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Project

Below is a description of the class project:

  • Project Description
    • The first deadline is to choose your project group by Friday 2/28. Check your email for the project group form.
    • The second deadline is to submit your project proposal by Monday 3/24. Read the project description for guidelines on what to include in your proposal.
    • The third deadline is to complete an exploratory analysis of your data by Friday 4/18. You should prepare a brief document using R Markdown that includes descriptions of your variables, at least two data visualizations, and a set of descriptive statistics or a regression model.