Lab 6: Central Limit Theorem
Learning Objectives
- Be able to create sampling distributions for a sample mean and sample proportion in R
- Visualize how sampling distributions change as we increase the size of our sample
The Central Limit Theorem tells us that sampling distributions for means and proportions will become more bell-shaped and symmetric (i.e., more Normal) as we increase the size of our sample. The standard deviation of the sampling distribution (i.e., our standard error) will also decrease as our sample size increases.