big sample size
more reflective of the actual population; low standard error.
small sample size
more likely to calculate a sample mean that is different from the population mean; high standard error.
standard error
indication of how close the sample mean (x/) is to the population mean (m).
standard deviation
how close the majority of the population sits to the mean. narrow = little variation ; wide= more variation
statistically significant (,,)
the difference is not just due to chance.