Class Data Demos on Google Sheets
Complete assigned readings before next class meeting, which are yellow-highlighted
W6-1 T-Test: PPT
- NFF Chapter 11: Correlation and linear regression (pdf) - focus on the model evaluation section, starting with section 11.9
- Example Study: In a Job Interview, How Much does Timing Matter? (No Stupid Question Podcast)
- Practice for the Exam using the Toyota Corolla dataset and Practice Exam (Solution)
- DA Worksheet #11: T-Test (Solution)
- Khan Academy module on Chi-Square
- [MINI] Chi-Squared Test by Data Skeptic Podcast
- Fischer's Exact Test (Lady Testing Tea)
- JASP Tutorial on Chi Square
- Reading: How to Conduct a Multinomial Test & a Chi-Square Test in JASP
- Chapter 11: The Chi-Square Distribution
W6-2.1 Chi-Square: PPT
- NFF Chapter 12: Comparing several means (one-way ANOVA) (pdf)
- DA Worksheet #12: Chi-Square (Solution)
- DA Worksheet #13: Multiple Regression (Solution)
- A Visual Introduction to Logistic Regression (by Amazon's Machine Learning University)
- Logit on Wikipedia
- Sigmoid, the inverse of Logit, on Wikipedia
- How logarithms work
- What is e: Euler's number
- Why use odds ratios in logistic regression by Analysis Factor
- JASP Tutorial on Logistic Regression
- Logistic Regression by StatQuest
- Logistic Regression Lesson by Penn State
- Reading: Using Logistic Regression Coefficients
- Logistic Regression as a Machine Learning Algorithm by Andrew Ng
- Dealing with Imbalanced Datasets in Classification by StarQuest
- How Can You Escape Binary Thinking? (No Stupid Questions Podcast)
W6-3.0 Team Project Presentation: PPT
W6-3.1 Multiple Regression: PPT
W6-3-2 Logistic Regression: PPT
- Multiple Regression chapter, Statistical Analysis in JASP - A Guide for Students (starting page 54)
- DA Worksheet #14: Logistic Regression (Solution; Python Solution)
- Multiple Regression by Dr. Josh Starmer
- Reading: Multiple Linear Regression Model & Evaluation
[Optional] Time Series Analysis: PPT
- HA Chapter 5: Forecasting Principles and Practice by Hyndman & Athanasopoulos
- DA Worksheet #16: Time Series Analysis (Solution)
- Time Series Analysis by Jordan Kern
- Time Series Modeling by Jordan Kern
*Access Harvard Business Review through the William & Mary Library proxy