What do both the time series decomposition and Winters exponential smoothing have in common when dealing with seasonality?

Multiple Choice

Both calculate the seasonality by summing the periods and dividing by the number of periods.

Both assume stationary data

. Both utilize seasonal indices.

Both average the most recent values to deseasonalize the data.