Step 1: Splitting E using F and F':
Since \(F\) and \(F'\) partition the sample space, \(E=(E\cap F)\cup(E\cap F')\), and these two pieces are disjoint, so \(P(E)=P(E\cap F)+P(E\cap F')\).
Step 2: Isolating P(E∩F'):
\(P(E\cap F')=P(E)-P(E\cap F)\).
Step 3: Using independence of E, F:
Since \(E,F\) are independent, \(P(E\cap F)=P(E)P(F)\), so \(P(E\cap F')=P(E)-P(E)P(F)=P(E)[1-P(F)]\).
Final Answer:
Since \(1-P(F)=P(F')\), we get \(P(E\cap F')=P(E)P(F')\), which is exactly the definition of \(E,F'\) being independent.\[ \boxed{E \text{ and } F' \text{ are independent}} \]