Statistics Ch. 7 Probability and Samples/ Distribution of Sample Mean
law of large numbers
The larger the number of individuals that are randomly drawn from a population, the more representative the resulting group will be of the entire population
central limit theorem
a theorem that states that as the sample size increases, the shape of the distribution of the sample means taken from the population with mean μ and a standard deviation σ/√n
Sampling distribution
is a distribution of statistics obtained by selection all of the possible samples of a specific size from a population
Distribution of sample means
is the collection of sample means for all of the possible random samples of a particular size (n) that can be obtained from a population
sampling error
is the natural discrepancy, or amount of error, between a sample statistic and its corresponding population parameter.
expected value of M
mean of distribution of sample means is equal to the mean of population scores
standard error of M
the standard erro provides a measure of how much distance is expected n average between a sample mean (M) and the population mean