This question is a follow up to this question on the derivation of the reduced density matrix.
What this question is about:
According to Schlosshauer (ISBN: 978-3540357735), the reduced density matrix is a mathematical object that contains all information that an observer could learn about a subsystem $\mathcal{A}$ of a system $\mathcal{AB}$ (so it contains all measurement-statistics). In his derivation of it, he proves that it allows the calculation of the expected value of an observable $O_{\mathcal{A}}\otimes I$ acting on $\mathcal{AB}$ - Indeed, he is looking for an object to do just that in order to find the reduced density matrix which (repeating myself) "contains all information that an observer could learn about a subsystem $\mathcal{A}$ of a system $\mathcal{AB}$ (so it contains all measurement-statistics)."
The question:
Is proving
that the reduced density matrix allows the calculation of above mentioned expectation value
enough to state that it contains all information an observer could learn from $\mathcal{A}$ ("all measurement statistics"? What I mean is that, while it is now proven that the expected value (above) can be calculated with the reduced density matrix, it is (in my opinion) not clear that one could calculate the state of $\mathcal{A}$ after the measurement - for either of the measurement results, which are defined by $O_{\mathcal{A}}\otimes I$.