calculating the mean of many samples and putting those means together to form a distribution
distribution of sample means
the spread of the sampling distribution
standard error
the distribution of sample means approximates a normal distribution as the sample size gets larger, regardless of the population’s distribution
central limit theorem
as our sample size increases, the probability that our sample mean is an accurate representation of the true population mean also increases
law of large numbers
what we observe in our sample mean versus what we expected based on the population from which that sample mean was calculated
observed effect