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Welcome to the course website for Sta-209-04 (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. 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 8/28 Statistical Thinking and Probability Lab 1 - A first hypothesis test
Mon 8/31 Hypothesis Testing (part 1: sampling) Finish/discuss Lab 1 Ch 2.1 - Sampling Principles from Intro to Modern Statistics
Wed 9/2 Lab 2 - Intro to R and one-sample categorical data R Basics from Modern Statistics with R
Fri 9/4 Finish/discuss Lab 2

Assignments and Deadlines:

  • Lab 1 is due Monday 8/31
  • Labs 2 and 3 are due Wednesday 9/9
  • Homework 1 is due Friday 9/4 Tuesday 9/8

All assignments should be submitted via Canvas.

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Week 2 - One-Sample Hypothesis Testing

Date Lecture Lab Resources
Mon 9/7 No classes - Labor Day
Wed 9/9 Lab 3 - More R and one-sample quantitative data
Fri 9/11 Hypothesis Testing (part 2: the Z test) Lab 3 Exploring Numerical Data - IMS Ch 5
  • Homework 2 is due Friday 9/18
  • Lab 2 is due Wednesday 9/9
  • Lab 3 is due Friday 9/11 Monday 9/14
    • Bonus lab (for extra credit) if you completed Lab 3 outside of class or early.

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Week 3 - Z and T Tests

Date Lecture Lab Resources
Mon 9/14 Hypothesis Testing (part 3: the T test) Lab 4 - One-sample Tests in R
Wed 9/16 Finish/discuss Lab 4
Fri 9/18 Hypothesis Testing (part 4: two-sample Z and T tests) Inference for Two Means - IMS Ch 20
  • Lab 3 (from last week) is due Monday 9/14
  • Homework 2 is due Friday 9/18
  • Lab 4 is due Wednesday 9/16

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Week 4 - Issues with Hypothesis Testing

Date Lecture Lab Resources
Mon 9/21 Lab 5 - Analyzing Two-sample Data in R
Wed 9/23 Testing Errors and Multiple Comparisons Finish/discuss Lab 5 Decsion Errors - IMS Ch 14
Fri 9/25 Lab 6 - Multiple Comparisons
  • Lab 5 is due Wednesday 9/23
  • Homework 3 is due Friday 9/25
  • Lab 6 is due Monday 9/28

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Week 5 - Exam 1

Date Lecture Lab Resources
Mon 9/28 Lab 7 - Transformations and Outliers
Wed 9/30 Review Review
Fri 10/2 Exam 1

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Exam #2 Content

Week 6 - Correlation

Date Lecture Lab Resources
Mon 10/5 Scatterplots and Correlation Spurious Correlations
Wed 10/7 Lab 8 - Scatterplots and Correlation
Fri 10/9 Simple Linear Regression
  • Homework 4 is due Friday 10/7
  • Lab 8 is due Friday 10/7
  • Project groups are due Monday 10/12

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Week 7 - Linear Regression

Date Lecture Lab Resources
Mon 10/12 Lab 9 - Linear Regression (part 1)
Wed 10/14 Regression with a Categorical Predictor Continue Lab 9
Fri 10/16 Lab 10 - Linear Regression (part 2)
  • Project proposals are due Friday 10/16
  • Homework 5 is due Friday 10/16
  • Lab 9 is due Wednesday 10/14
  • Lab 10 is due Monday 10/26
Fall Break

Week 8 - Analysis of Variance (ANOVA)

Date Lecture Lab Resources
Mon 10/26 Analysis of Variance (ANOVA) Finish/discuss Lab 10 Inference for Many Means - IMS Ch 22
Wed 10/28 Finish ANOVA Lab 11 - ANOVA
Fri 10/30 Finish/discuss Lab 11
  • Homework 6 is due Friday 10/30
  • Lab 11 is due Friday 10/30

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Week 9 - Multiple Linear Regression

Date Lecture Lab Resources
Mon 11/2 Multivariable Regression (part 1) Lab 12 - Multivariable Regression
Wed 11/4 Finish/discuss Lab 12
Fri 11/6 Project Workday/Progress Meetings
  • Homework 7 is due Friday 11/6
  • Lab 12 is due Wednesday 11/4 Friday 11/6

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Week 10 - Exam 2

Date Lecture Lab Resources
Mon 11/9 Multivariable Regression (part 2) Lab 13 - Regression Loose Ends
Wed 11/11 Finish/discuss Lab 13
Fri 11/13 Exam 2

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Week 11 - Confidence Intervals

Week 12 - Observational Study Designs and Odds Ratios

Week 13 - Chi-squared Tests

Week 14 - Logistic Regression (time-permitting)

Week 15 - Exam 3 and projects

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Exam Dates

Study materials (practice test, study guide, etc.) will be released approximately 1-week prior to each exam.

  • Exam 1 - Friday 10/2
  • Exam 2 - Friday 11/13
  • Exam 3 - Monday 12/7

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Project

  • Final Project Description
    • The first step is to form a group of two or three by Monday 10/12. Have one member of your group email Prof. Miller the members of your group. Additionally, if you are a group of two and would be open to adding a third member please let me know in your email.
    • The second step is to submit a 1-2 paragraph project proposal following the guidelines found under “Timeline” in the project description.
    • The third step is to have at least some of your data ready to work with by the start of class on Friday 11/6. If you are collecting your own data, you should begin the process early enough to allow for this.