| Skewness | 
|---|
| Skewness refers to how a distribution "leans". It is important to recognize skewness because it has strong implications in hypothesis testing. | 
Let's examine three different kinds of skew:
|   | Figure 1. | 
|---|
This symmetrical distribution has no skew. The mean exists perfectly at the center.
|   | Figure 2. | 
|---|
This distribution is skewed to the right. The mean is pulled to the left from the center.
|   | Figure 3. | 
|---|
This distribution is skewed to the left. The mean is pulled to the right from the center.