PSY1022 Chapter Notes -Central Limit Theorem, Sampling Distribution, Statistical Inference
Document Summary
The relationship between samples and populations are defined in terms of probability. To describe the relative standing of an entire sample. Evaluate a sample mean in terms of its relative standing: compare the sample mean to the other sample means that occur in the situation, create a distribution showing these means sampling distribution of means: The frequency distribution of all possible sample means that occur when an infinite number of samples of the same size are selected from one raw score population. Cannot infinitely sample a population but we know what it would look like because of the central limit theorem. To compute the z-score for a sample mean, we need the sd of the sampling distribution. The mean of the sampling distribution equals the mean of the underlying raw score population from which we create the sampling distribution. A sampling distribution is an approximately normal distribution.
