P(N∩R) represents the probability of A and B.
When two events are independent events, the joint probability is calculated by multiplying their individual probabilities.
P(N∩R) For independent events:
[tex]P\mleft(N\cap R\mright)=P(N)\times P(R)[/tex]Substituting the known values for P(N) and P(R):
[tex]\begin{gathered} P(N\cap R)=0.25\times0.6 \\ P(N\cap R)=0.15 \end{gathered}[/tex]0.15 is the value of P(N∩R) given by the problem, and since we get the same result using the formula for independent events, we can affirm that N and R independent events.
Answer:
c) Yes, because P(N) X P(R) = 0.15