STA-209 - Applied Statistics (Spring 2025)

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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:

• Click here to view the course syllabus

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:

• Remember that Lab 7 is due Wednesday 2/19
• There is no homework assignment this week, use the extra time to study for Exam 1
• Practice Version of Exam 1
• Study Guide for Exam 1
  • You might also find this study guide I wrote for last Spring’s first exam helpful

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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

• Lab 14 is due Friday 4/4 at 11:59pm
• There is no homework assignment this week, use the extra time to study for Exam 2 on Monday 4/7
• Practice materials for Exam 2
  • Exam 2 Study Guide
  • Practice Version of Exam 2
    • Practice Exam Solution

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Week 10 - Exam 2 and Chi-squared Tests

Date	Lecture	Lab	Resources
Mon 4/7	Exam 2
Wed 4/9	Chi-Squared Tests (part 1 - goodness of fit)	Lab 15 - Chi-Squared Tests	IMS Ch 18
Fri 4/11	Chi-Squared Tests (part 2 - independence)	Finish Lab 15

• Lab 15 is due Monday 4/14
• Homework 8 is due Monday 4/14 at 11:59pm

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Exam #3 Content

Note: The topic of Chi-squared testing from Week 10 is included on Exam #3

Week 11 - Analysis of Variance (ANOVA)

Date	Lecture	Lab	Resources
Mon 4/14	Analysis of Variance (ANOVA)	Lab 16 - Analysis of Variance (ANOVA)	IMS Ch 22
Wed 4/16		Finish Lab 16
Fri 4/18		Project Worktime and Check-in

• Lab 16 is due Monday 4/21
• Homework 9 is due Monday 4/21 by 11:59pm
• Project exploratory analysis is due Friday 4/18 by 11:59pm

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Week 12 - Statistical Inference for Linear Regression Models

Date	Lecture	Lab	Resources
Mon 4/21	Inference for Linear Regression (F-tests)	Lab 17 - Inference for Linear Regression	IMS Ch 25
Wed 4/23	Inference for Linear Regression (t-tests)	Finish Lab 17
Fri 4/25	Logistic Regression (part 1)	Lab 18 - Logistic Regression	IMS Ch 9

• Lab 17 is due Monday 4/28
• Homework 10 is due Friday 5/2 by 11:59pm

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Week 13 - Logistic Regression

Date	Lecture	Lab	Resources
Mon 4/28	Logistic Regression (part 2)	Continue Lab 18
Wed 4/30	Logistic Regression (part 3)	Finish Lab 18
Fri 5/2	Exam 3 Review

• Homework 10 is due Friday 5/2 by 11:59pm
• Lab 18 is due Friday 5/2 by 11:59pm

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Week 14 - Exam 3 and Project Presentations

Date	Lecture	Lab	Resources
Mon 5/5	Exam 3
Wed 5/7	Project Presentations
Fri 5/9	Project Presentations

• Exam retakes are Tuesday 5/13 from 2-5pm (Sec-01) and Wednesday from 2-5pm (Sec-03)
• Project Reports are due Wednesday 5/14 at 5pm (the end of the semester for the later section)

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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.