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Recommended Course Topics for an Acceptable Course to
Meet the Statistics Prerequisite for Medical Schools
Descriptive statistics
Measures of central tendency
Measures of variability or dispersion
Kurtosis and skewness
Univariate analysis of data
Bivariate analysis of data
Correlation and covariance
Inferential statistics
Statistics modeling theory and assumptions (parametric and non-parametric)
Population and sampling methods
Inference and Probability
Confidence intervals
Chi-square probability
General linear models (t-test, analysis of variance [ANOVA], Analysis of Covariance
[ANCOVA], regression analysis and other multivariate methods)
The acceptable statistics course should optimally be taught in the mathematics or statistics department
of the institution. However, courses in social sciences, biology, or business may meet the requirement
as long as the above noted topics are included.
Updated May 2015