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 # 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: 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
++ Hadley Wikham: "ggplot2: Elegant Graphics for Data Analysis"
++ Winston Chang: R Graphics Cookbook
+