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final_study_guide.md

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Concepts to know for Final Exam

Multiple hypothesis testing:

  • Know how to calculate BF
  • Know conceptual differences between BF/FDR
  • Know when to use multiple correction in general (won’t have to choose between tests, or if you do both answers would be acceptable)

Hypergeometric distribution

  • How to calculate p-value
  • When to use (esp. compared to binomial distribution)

Chi-square

  • How to calculate X2 statistic (for goodness of fit OR contingency table)
  • How to carry out X2 test (distribution, df, assumptions, etc)
  • How to interpret X2 analysis
  • Calculate relative risk and odds ratio

Correlation & Covariance

  • Conceptual difference between correlation & covariance
  • Assumptions and interpreting correlation coefficient/test
  • When to use a non-parametric alternative

Regression

  • When to use, assumptions, interpretation of R summary results
  • How to use regression to predict values
  • Calculate B1 and B0
  • Understand concept/interpretation of r2
  • Df for regression test
  • Difference between regression and correlation
  • What is residuals, when to use residual plots, how to interpret
  • Regression v. T-test
  • How to interpret multiple variable regression

ANOVA

  • When to use, assumptions, interpretation of R summary results
  • General concept of ANOVA - what is it testing?
  • How to calculate the ANOVA table
  • How to calculate p-value conceptually (test statistic, distribution, df, etc)
  • How to interpret two-way ANOVA and when to use it
  • Identify interaction from additive
  • Using ANOVA to compare models