Construct sample means and interpret finite sampling distributions
The following six samples each contain n=4 numerical observations. A sample mean is the sum of observations in one row divided by n. Each row is one sample, not a whole population
| Sample | Observation 1 | Observation 2 | Observation 3 | Observation 4 |
|---|---|---|---|---|
| \(1\) | \(4\) | \(1\) | \(0\) | \(4\) |
| \(2\) | \(4\) | \(1\) | \(0\) | \(4\) |
| \(3\) | \(0\) | \(0\) | \(4\) | \(4\) |
| \(4\) | \(0\) | \(4\) | \(0\) | \(0\) |
| \(5\) | \(0\) | \(1\) | \(4\) | \(4\) |
| \(6\) | \(1\) | \(1\) | \(1\) | \(0\) |