Topics List

Statistical framework (parameter vs statistic)

Quantitative vs Categorical variables

What is a distribution?

• What values?
• How frequently?

Data visualizations

• Explanatory/response variables
• Univariate plots
• Bivariate plots
• Which plots associated with which variable types
• Which bar chart appropriate for conditional proportions

Numerical summaries

• Measures of centrality
• Measures of spread
• Percentiles
• When is each useful?

Z-scores

• What do the tell us about observations?
• Be able to construct given mean and sd
• Interpret

Tables

• Conditional statistics (row/column/total)
• Associate plots with tables
• Use quantitative variable as categorical (i.e., enrollment as large or small)

Study Design

• Experiment vs Observational study
• prospective vs retrospective
• representative samples
  • random sampling
  • generalization
• random assignment
  • causal relationships
• census
• biases
  • response
  • non-response
  • sampling
• intended vs actual population
• label parts of experiment
  • experimental units
  • factors / levels / treatments

Regression

• Correlation (pearson/spearman)
• Simple linear regression, interpret slope and intercept
• Regression with categorical predictors/indicator variables
• \(R^2\) as summary statistic

Do not need to know

Formulas or equations (except z-score)

Ecological correlation

R programming