Overview of statistics and its applications
Data presentation, measures of central tendency and dispersion
Basic probability concepts, rules, and applications
Types of sampling and sampling distribution
Discrete and continuous variables, expected value
Binomial, Poisson, and normal distributions
Measuring relationships and predicting outcomes