# LIN318: Talking Numbers

*Interpretation and presentation of quantitative linguistic data*

*2023-11-20*

# Introduction

These are class notes for LIN318H5: Talking Numbers, at the University of Toronto Mississauga.

During this course, you will:

- Become familiar with some of the common types of data used in quantitative linguistic analysis.
- Summarize data and report relevant descriptive statistics.
- Create effective visual representations of data.
- Assess the reliability of patterns in data and relationships between variables via statistical inference.

We will be using the software R (and RStudio) for all graphs and analysis in this course.

### Additional resources

Some additional resources that you might find helpful include:

R basics

- Grolemund: Hands-on Programming with R
- Wickham, Çetinkaya-Rundel, and Grolemund: R for Data Science: This is particularly excellent for data visualization
- R for Linguists, by Eleanor Chodroff

Statistics

- Winter (2019),
*Statistics for Linguists: An Introduction Using R*. Routledge. This is my primary recommendation as a supplementary textbook for this course (available as an eBook from the UofT library). - Navarro (2018), Learning Statistics with R: This is not linguistics-specific, but I find it a very readable and entertaining introduction to fundamental statistical concepts
- Johnson (2008),
*Quantitative Methods in Linguistics*. John Wiley & Sons (available as an eBook from the UofT library) - Sonderegger (2023),
*Regression Modeling for Linguistic Data*. MIT Press.

### Acknowledgments

These materials are heavily based on/inspired by the materials listed above, as well as past materials and work by my colleagues Joseph Casillas, Eleonor Chodroff, Derek Denis, Yoonjung Kang, and Morgan Sonderegger.