Answer:
The value of P (A ∩ B) is 0.25.
Step-by-step explanation:
Independent events are those events that do not effect the occurrence of each other, i.e. if event <em>X </em>and <em>Y</em> are independent then the occurrence of <em>X</em> and <em>Y </em>are not influenced by each other.
For independent events <em>X</em> and <em>Y</em> the joint probability of <em>X</em> and <em>Y</em> is:
![P (X\cap Y)=P(X)\times P(Y)](https://tex.z-dn.net/?f=P%20%28X%5Ccap%20Y%29%3DP%28X%29%5Ctimes%20P%28Y%29)
It is provided that events <em>A</em> and <em>B </em>are independent of each other.
And P (A) = P (B) = 0.50.
Compute the value of P (A ∩ B) as follows:
![P (A\cap B)=P(A)\times P(B) \\= 0.50\times0.50\\=0.25](https://tex.z-dn.net/?f=P%20%28A%5Ccap%20B%29%3DP%28A%29%5Ctimes%20P%28B%29%20%5C%5C%3D%200.50%5Ctimes0.50%5C%5C%3D0.25)
Thus, the value of P (A ∩ B) is 0.25.