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  • SOC 221
  • Syllabus
  • Lectures
    • Lecture 1:
      Introductions; Overview of statistics; Producting data: surveys and sampling
    • Lecture 2:
      Frequency tables; Graphical techniques
    • Lecture 3:
      Measures of central tendency; Measures of variability
    • Lecture 4:
      Probability and probability distributions; Normal distributions
    • Lecture 5:
      Sampling distributions
      Central limit theorem; Logic of inference
    • Lecture 6:
      Estimation: confidence intervals for means; Estimation: confidence intervals for proportions
    • Lecture 7:
      Hypothesis testing for one sample; Hypothesis testing for two samples
    • Lecture 8:
      Two-way tables and chi-square; Scatterplots and correlation
    • Lecture 9:
      Bivariate regression; Inference for regression
    • Lecture 10:
      Multivariate regression
  • Homework
    • Homework 1
    • Homework 2
    • Homework 3
    • Homework 4
    • Homework 5
    • Homework 6
    • Homework 7

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Copyright © 2024 Victoria Sass
Course content adapted from Kyle Crowder’s Winter 2020 class