Course Schedule

All .qmd files for lectures can be found on GitHub: lecture folder

All data used in lecture can also be found on GitHub: data folder

Week 1: Summarizing Data

Lecture Schedule:

1. Basics of Probability (.qmd file)
2. Probability Distributions (.qmd file)
3. Describing and Visualizing Continuous Data (.qmd file)
4. Describing and Visualizing Categorical Data (.qmd file)

Week 2: Introduction to Statistical Inference

Lecture Schedule:

1. Introduction to Statistical Inference (.qmd file)
2. One-Sample Means and Medians (.qmd file)
3. One-Sample Variances (.qmd file)

Week 3: Statistical Inference with Two Samples

Lecture Schedule:

1. Two-Sample Means and Medians (Independent) (.qmd file)
2. Two-Sample Means and Medians (Dependent) (.qmd file)
3. Two-Sample Variances (.qmd file)

Week 4: One-Way ANOVA

Lecture Schedule:

1. One-Way ANOVA (.qmd file)
2. ANOVA Assumptions (.qmd file)
3. Kruskal-Wallis (.qmd file)
4. Posthoc Testing (.qmd file)

Week 5: Two-Way ANOVA

Lecture Schedule:

1. Two-Way ANOVA (.qmd file)
2. Two-Way Post-Hoc Testing (.qmd file)
3. Profile Plots (.qmd file)

Week 6: Categorical Analysis

Lecture Schedule:

1. One-Sample Proportions (.qmd file)
2. Two-Sample Proportions (.qmd file)
3. Goodness of Fit (.qmd file)
4. Contingency Tables (.qmd file)
   

Week 7: Correlation and Linear Regression

Lecture Schedule:

1. Correlation (.qmd file)
2. General Linear Models: Estimation and Intepretation (.qmd file)
   
3. General Linear Models: Inference and Prediction (.qmd file)

Week 8: Final Exam

• The computational final exam opens Tuesday morning and is due on Thursday evening at 11:59, Central.

The timed final exam opens on Friday morning at 12 am and is due by Friday evening at 11:59 pm, Central.

• Once you open the exam on Canvas, you will have 3 hours for completion.
• The exam is cumulative and will cover all material from the course.
• The exam is conceptual and applied; none of the questions will require/ask for coding.
• No make up exams will be given.