Introduction to Statistics
POL 40950 Introduction to Statistics
Lecture: Monday, 12 pm, room Q014, Quinn Business School.
Lab: Monday, 23 pm, room Q5, Daedalus Building.
All information about the course can be found in the syllabus.
For R users, the Google R Style guide might be useful.
<1.  Accessing and visualising data  slides  lab  output  video on RMarkdown video on file.choose() in R video on levels of measurement 

2.  Descriptive statistics  slides  lab  output  note on preparing homeworks lecture example code 

3.  Simple regression  slides  lab  output  homework  video on reading slopes lecture example code dataverse 
4.  Multiple regression  slides  lab  output  note on using logs  
5.  Multiple regression: categorical independent variables  slides  lab  output  homework  note on dummy variables 
6.  Writing up regression results  slides  (work on homework)  note on regression tables  
7.  Multiple regression: interaction effects  slides  lab  output  
8.  Sampling distribution and Central Limit Theorem  slides  lab  output  homework  video on sampling distributions 
9.  Hypothesis tests and confidence intervals  slides  lab  output  video on standardizing variables Ztable (by Demetris Athienitis) Ttable (by Demetris Athienitis) 

10.  Multiple regression: diagnostics and model fit  slides  lab  output  
11.  Multiple regression: categorical dependent variables  slides  lab  output  homework 