• Descriptive inference
  • 1 Basic tools of quantitative reasoning
  • 2 Sampling
  • 3 p-values
  • 4 Linear regression
  • Causal inference
  • 5 Alternate explanations
  • 6 Randomized experiments
  • 7 Non-random comparisons
  • 8 Statistical control
  • Assessing research
  • 9 Imperfect indicators of quality
  • 10 Threats to inference 1
  • 11 Threats to Inference 2
  • 12 Ethical issues
  • Data analysis and review
  • 13 Meta-analysis in Microsoft Excel
  • 14 Statistical tests in R
  • 15 Data visualization in R
  • 16 Review
  • 17 R simulations
  • Miscellany
  • 18 Syllabus
  • 19 Practice exams
  • 20 Credits
  • 21 Course meetings
  • Published with bookdown

POL 138

19 Practice exams

Practice Exam 1 (Descriptive inference chapters)

KEY for Practice Exam 1

Practice Exam 2 (Causal inference chapters)

KEY for Practice Exam 2

Exam 2 might include review from Exam 1, but these review items are not on Practice Exam 2.

Practice Exam 3 (Assessing research chapters)

KEY for Practice Exam 3

Exam 3 might include review from Exams 1 and 2, but these review items are not on Practice Exam 3.

Practice Final Exam (only the Data analysis chapters)

KEY for Practice Final Exam (only the Data analysis chapters)

The Final Exam might include review from Exams 1, 2 and 3, but these review items are not on the Practice Final Exam.

Practice Final Exam (full cumulative review: multiple-choice items)

KEY for Practice Final Exam (full cumulative review: multiple-choice items)

Practice Final Exam (full cumulative review: open-ended items)

KEY for Practice Final Exam (full cumulative review: open-ended items)