Lecture-10: Correlations (Part 1)
Topics
- Inferential Statistics: Pearson’s \(r\)
- Data Visualization: Interpreting Scatterplots
- Data Analysis: Public Polling
- Quantitative Research: More with
knitr
Readings
Required
- OpenIntro: Chapter 7, pp. 331-340
- Wheelan: Chapters 4 and 10
- TBA from Yihui Xie, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. New York, NY: CRC Press. (Link)
Assignments
Due Before Class
- From Lecture-08:
- Lab 07 - T-Tests and Reshaping Data in
R - Problem Set 04 - Difference of Means Testing
- Lab 07 - T-Tests and Reshaping Data in
- From Last Lecture: Lab 08 - Factors
- For This Lecture: Lecture Prep 09 - Interpreting Scatterplots
Due Before Next Class
- For This Lecture: Lab 09 - Pearson’s \(r\) by Hand
- For Next Lecture: Lecture Prep 10 - Creating Scatterplots with
ggplot2