We reviewed units 4.6 through 4.8, which covered independent events, unions of events, an introduction to random variables and probability distributions, and the mean and standard deviation of random variables.
We reviewed units 4.1, 4.2, and 4.3 which covered the definition of a random variable, the definition of random processes, methods of simulating random processes, methods for estimating probabilities, and the law of large numbers.
College Board Website, AP Statistics, Units 5.3 and 5.4: The sampling distribution and the central limit theorem; randomization distribution using simulation; and why an estimator is or is not biased.
College Board Website, AP Statistics, Units 5.1 and 5.2: Samples from a population; calculating probabilities for a continuous normal random variable; determining the interval associated with a given area; how to calculate probabilities for linear combinations of normal random variables; determining the appropriateness of using the normal distribution.
College Board Website, AP Statistics, Unit 4.12: Definition of the geometric distribution; calculating parameter and probabilities for geometric distribution; and interpreting parameters.
College Board Website, AP Statistics, Units 4.10 and 4.11: How to identify a binomial random variable; how to calculate binomial probabilities; and how to calculate binomial parameters.
College Board Website, AP Statistics, Units 4.8 and 4.9: Calculating the mean and standard deviation of discrete random variables; the effects of a linear transformation on the mean and standard deviation of a ransom variable; and how to calculate parameters for a linear combination of random variables.
College Board Website, AP Statistics, Units 4.6 and 4.7: Calculating probabilities for independent events and unions of events; the concept of a random variable and a probability distribution.
