PSYC 2111 Lecture 10: Sampling Distributions
23 Oct 2016
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Document Summary
**everything included in this lecture was discussed under hypothetical terms** We have a know population and a sample of n numbers. We then compute some kind of statistic. Replication: repeating the same exact experiment over and over again with the only difference being the sample each time. Sampling variability: each replication will result in a different value of statistic. Sampling distribution: the probability of some kind of statistic over the repeated replication of an experiment; will result in a different value of statistic for each replication. Distribution of sample means: the probability distribution for m: we are asking how much uncertainty is in m, m: sample mean. The r functions rnorm, pnorm, and qnorm are all based on the normal distribution curve to the right. How good is this: this tells us how much we can rely on m as an estimator of ; the closer m is to the better estimator m is.
