As the sample size increases, the value of a statistic approaches the true value of the population parameter. These formulas for the standard deviation are valid as long as the population is at least 10 times the size of the sample.
The Central Limit Theorem allows us to use normal probability calculations, given certain conditions are met, for sample means and proportions even if the original distributions are non-normal.
Confidence intervals provide a range of values that estimate the population parameter.
The margin of error, often cited in media articles, tells how accurate we believe our estimate of the parameter to be. To decrease the margin of error, we could increase the sample size or decrease how confident we need the result to be.
Unit Resources include general, global resources that might include bookmarks, books, periodicals, media and software. URLs need to be provided for each resource to identify a source from which it can be obtained. Resources might include those purchased as part of an adoption. More specific resources will be referenced within the teaching procedures.