Master Chapter 7

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

group of statistics obtained by selecting all possible samples of a specific size

sampling distribution

statistics obtained by selecting all possible samples of a specific size from a population

central limit 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

measure of distance expected between sample mean and population mean

law of large numbers

rule that larger sample size increases probability that sample and population means will be close