simply put: under certain regularity conditions (finiteness of mean and variance), given Y_i are independent and identically distributed random variables.
[tex]\frac{\sqrt{n}}{\sigma}(\frac{1}{n}\sum_{i=1}^{n}Y_i-\mu) \rightarrow N(0,1)[/tex]
You can think of the [tex]Y_i[/tex] as fish that you are sampling from a population of fish who's mean age and variance you know. Then if you sample a large amount of fish. The average age of your sampled fish standardized as above will be approximately normal(0,1).