PSY1022 Final: Inferential Statistics

93 views2 pages

Document Summary

To determine the probability of observing the experimental result. Frequency distribution of all possible sample means that occur when samples of a particular size are drawn from a population. Normally distributed due to the central limit theorem. Clt: a statistical principle that defines the mean, sd and shape of a sampling distribution. Standard error of the mean: the standard deviation of the sampling distribution of means: population sd/ n. The part of the sampling distribution containing means that are so unlikely that we reject that they represent the underlying raw score population. The extreme tails of the normal curve. The score that marks the inner edge of the region of rejection in a sampling distribution. Compared to the z or t score to determine if the sample mean falls into the region of rejection. The probability that defines whether a sample is unlikely to represent the underlying raw score population. 0. 05 is usually used (2. 5% in each tail)