Data and data visualizations
  • Types of data: categorical, numeric, etc
  • Populations, samples, case reports, and anecdotes
  • Visualizing data
  • Measures of central tendency (mean, median, mode)
  • Measures of dispersion (variance, standard deviation)
  • Data normalizations
Probability theory
  • What is probability?
  • Probability distributions
  • Sampling variability, noise, and other annoyances
Hypothesis testing
  • IVs, DVs, models, and hypotheses
  • P-values
  • What are outliers and why are they dangerous?
  • Statistical vs. theoretical vs. clinical significance
Common statistical tests
  • T-test
  • Correlation
  • Analysis of Variance (ANOVA)
  • Regression
Bonus section
  • Bonus content