What's the meaning of ergodicity?
If you sample a random process for a specific t, you will get one realization of a random variable. For another t, you get another realization of that random variable. This random variable has its statistics which is almost impossible to learn in real world because not all sample paths are observable. See the brown rectangle in the figure below.

That becomes possible in ergodic processes. An ergodic process is the one where the time average of a sample path is the same as the statistical mean. See the purple line in the figure below, which was the observed sample path such as a particular realization of noise in a communications receiver.