AP statistics chapter 18 by Stats modelling the world third edition by David E. Bock

● Sampling distribution - Different random samples give different values for a
statistic. The sampling distribution model model shows the behavior of the
statistic over all the possible samples for the same size n.
● Central Limit Theorem - The Central Limit Theorem states that the sampling
distribution model of the sample mean from a random sample is approximately
Normal for large n, regardless of the distribution of the population, as long as the
observations are independent.
● Sampling distribution - If assumptions of independence and random sampling
are met, and we expect at least a model for a proportion 10 successes and 10
failures, then the sampling distribution of a proportion is modeled by a Normal.