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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 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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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:
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 |
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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 |
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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 |
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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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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 |
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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) |
Week 8 - Analysis of Variance (ANOVA)
Week 9 - Multiple Linear Regression
Week 10 - Exam 2
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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Study materials (practice test, study guide, etc.) will be released approximately 1-week prior to each exam.
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