PSY-380 Lecture Notes - Lecture 7: Statistical Inference, Sampling Error, Statistical Parameter

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5 Nov 2022
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Sampling error: natural discrepancy between a statistic and its corresponding population parameter. Distribution of sample means collection for all the possible random data sets of a particular size. Sampling distribution: a group of statistics obtained by selecting all possible samples of a specific size. Central line theorem: mathematical proposition which serves as a cornerstone for much of inferential statistics. Expected value of m: mean of the distribution of sample means which is always equal to the population mean. Standard error of m: a measure of distance expected between the sample mean and population means. Law of large number: rule that a larger sample size increases the probability that sample and population means will be close.

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