## Chi-Squared Distribution

- always positive
- typically right-skewed
- one param: $\text{df}$

- when df becomes larger, the center moves, i.e. the mean value grows as well
- mean = df
- variability increases as df increases
- shape becomes less skewed, more symmetric
- for Chi-Squared tests typically need only upper-tail values

Visualization

## Sources