• Sampling distributions are needed for inferential statistics. They help us make decisions about samples by letting us judge the relative position of a sample statistic compared to a population statistic.
  
  
• We create a sampling distribution by generating all possible samples of a given size from a population, calculating a statistic for each sample, and plotting the distribution of sample statistics.
  
  
• The standard error is the standard deviation of a sampling distribution.
  
  
• The specific shape of a sampling distribution is determined by the statistic and sample size/degrees of freedom.
  
  
• Each sample statistic has its own sampling distribution, shape, and formula for the standard error.

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