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1.1 KiB
27 lines
1.1 KiB
# Lectures on Quantitative Methods for ACJ Students
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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.
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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.
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## [Introduction](../master/index.org)
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## [Descriptive Statistics](../master/descriptive-statistics.org)
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## [Introduction to Statistical Inference](../master/statistical-inference.org)
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## [Correlation and Regressions](../master/associations.org)
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## Reading material
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### For statistics
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+ Making Data Meaningful (Part I and II): https://www.unece.org/stats/documents/writing/
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+ Alan Agresti: "Statistics: The Art and Science of Learning from Data"
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+ [Optional] Alan Agresti: "Statistical Methods for the Social Sciences"
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### For R programming
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+ Vikas Rawal: The SSER R-Manual
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+ https://www.r-project.org
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+ Hadley Wikham: "ggplot2: Elegant Graphics for Data Analysis"
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+ Winston Chang: R Graphics Cookbook
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