1. Binomial and Poisson Distributions - Probability distributions, cumulative probabilities, mean and variance calculations 2. Approximations - Poisson approximation to binomial, normal approximation to Poisson, choosing the right approximation 3. Continuous Random Variables - Cumulative distribution function, mean and variance, quartiles and percentiles 4. Continuous Uniform Distribution - Properties, modeling, applications in probability 5. Sampling and Sampling Distributions - Populations vs. samples, statistics concepts, distribution of a statistic 6. Hypothesis Testing - Critical values, one-tailed and two-tailed tests, testing means, using approximations