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.