Identifying marginal and conditional distributions

James is interested in the relationship between weather conditions and train delays. For a year, James records the conditions each day as well as whether this train arrives on time or is delayed. Here are his results: |On-time|Delayed | Total - | - | - | - Sunny| $167$ | $3$ | $170$ Cloudy| $115$ | $5$ | $120$ Rainy| $40$ | $15$ | $55$ Snowy| $8$ | $12$ | $20$ $\boxed{\text{Total}}$| $\boxed{330}$ | $\boxed{35}$ | $\boxed{365}$ **What is the best description of the distribution boxed in the last row of the table above?** [[☃ radio 1]]