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Define these key terms

  1. Sampling error: Difference between sample effect size and population effect size
  2. Standard error: Standard deviation of sample effect sizes
  3. Likelihood distribution: Likelihood as function of population effect size, given sample
  4. Confidence limits: Range within which we are 95% confident contains population effect size

Fill in the gaps

  1. The likelihood function shows the likelihood of different population effect sizes for a given sample effect size
  2. When all possible sample effect sizes are plotted as a distribution, they are called the sampling distribution.