PSC 200 Applied Data Analysis
Richard Niemi and Lynda Powell
Tuesdays and Thursdays, 9:40-10:55

Lecture Notes:

• Lecture 1: Introduction
  
  
• Lecture 2: Measurement
  
  
• Lecture 3: Descriptive Statistics
  
  
• Lecture 4: Constructing/Transforming Variables
  
  
• Lecture 5: Hypotheses and Research Design
  
  
• Lecture 6: Surveys and Sampling
  
  
• Lecture 6 Addendum
  
  
• Lecture 7: Cross Tabulation
  
  
• Lecture 8: Assessing Hypotheses: Means and Graphs
  
  
• Lecture 9: Statistical Inference: Confidence Intervals and T-Tests
  
  
• Lecture 10: Chi-Square
  
  
• Lecture 10a: Measures of Association
  
  
• Lecture 11: Controlling for a 3rd Variable
  
  
• Lecture 12: Statistics to Explicate Relationships
  
  
• Lecture 13: Research Paper Assignment
  
  
• Lecture 14a: Bivariate Correlation
  
  
• Lecture 14b: Bivariate Regression
  
  
• Lecture 15: Multiple Regression
  
  
• Lecture 16: Readings on Simple & Multiple Regression/Outliers/Interaction Effects