1.2. Central Limit Theorem: As sample sixe, n, increases, the sampling distribution of x becomes approximately normal.
2. Shape, Center and Spread
2.1. ux=u is center ox=o/n is spread
2.2. Population is normal with mean u and Stand deviation o.
3. Sampling Distribution of Sample Propotion
3.1. p=x/n
3.2. Approximately normal, provided np(1-p) >= 10
4. The Sampling distribution is a statistic ~ a probablity distribution for all possible values of the statistic.
4.1. If the sample mean- x is the probability distribution of all possible values of the random variable x, computed from a sample side, n, from a population with u and standard deviation o.
4.2. If the shape of X is normally distributed, the distribution of the sample mean, x, is normally distributed.
