How to prove P(A ∩ B) ≤ P(A) using probability theory?
I understand this when drawn on a Venn Diagram but am unsure how it translates to a formal proof.
How to prove P(A ∩ B) ≤ P(A) using probability theory?
I understand this when drawn on a Venn Diagram but am unsure how it translates to a formal proof.
Here's one approach: Every measure, hence every probability measure $\mathbb{P}$ is monotone. This means $A \subset B$ implies $\mathbb{P}(A) \le \mathbb{P}(B)$. Can you finish the idea?
Another approach would be to notice that $A = (A \cap B) \cup (A \setminus B)$ is a disjoint union. Therefore, by additivity of the measure we have $$ \mathbb{P}(A) = \mathbb{P}(A \cap B) + \mathbb{P}(A \setminus B). $$ Can you finish the proof?
Since you are using a Venn Diagram, I presume that your sample space has equiprobable measure.
Let $U$ be the universal set.
Since $A \cap B \subseteq A$, then $\frac{n(A \cap B)}{n(U)} \leq \frac{n(A)}{n(U)}$; which inplies
$$ P(A \cap B) \leq P(A). $$