# Lectures on Quantitative Methods for ACJ Students

The links below are to files that were used during the lectures. They have the tables, graphs, and other statistical results, along with all the R programs that were used to create them. These files are displayed during the lectures.

The files do not contain my explanations of these results, and most of what I speak during the class. If you want to know that, you have to come to the class.

## [Introduction](../master/index.org)
## [Descriptive Statistics](../master/descriptive-statistics.org)
## [Introduction to Statistical Inference](../master/statistical-inference.org)
## [Correlation and Regressions](../master/associations.org)

## Reading material

### For statistics

+ Making Data Meaningful (Part I and II): https://www.unece.org/stats/documents/writing/
+ Alan Agresti: "Statistics: The Art and Science of Learning from Data"
+ [Optional] Alan Agresti: "Statistical Methods for the Social Sciences"

### For R programming

+ Vikas Rawal: The SSER R-Manual
+ https://www.r-project.org
+ Introduction to data.table: https://cran.r-project.org/web/packages/data.table/vignettes/datatable-intro.html
+ Hadley Wikham: "ggplot2: Elegant Graphics for Data Analysis"
+ Winston Chang: R Graphics Cookbook