.: (i) $P(E) = \cfrac{{13}}{{52}} = \cfrac{1}{4}$
and $P(F) = \cfrac{4}{{52}} = \cfrac{1}{{13}}$
$\Rightarrow$ $P(E \cap F) = \cfrac{1}{{52}} = \cfrac{1}{4} \times \cfrac{1}{{13}} = P(E)P(F)$
m $\Rightarrow$ $E$ and $F$ are independent.
(ii) $P(E) = \cfrac{{26}}{{52}} = \cfrac{1}{2}$
and
$P(F) = \cfrac{4}{{52}} = \cfrac{1}{{13}}$ $\Rightarrow$ $P(E \cap F) = \cfrac{2}{{52}} = \cfrac{1}{{26}} = \cfrac{1}{2} \times \cfrac{1}{{13}}$
$\Rightarrow$ $P(E \cap F) = P(E)P(F)$ $\Rightarrow$ $E$
and $F$ are independent.
(iii) $P(E) = \cfrac{4}{{52}} + \cfrac{4}{{52}} = \cfrac{{4 + 4}}{{52}} = \cfrac{8}{{52}} = \cfrac{2}{{13}}$
and
$P(F) = \cfrac{4}{{52}} + \cfrac{4}{{52}} = \cfrac{{4 + 4}}{{52}} = \cfrac{8}{{52}} = \cfrac{2}{{13}}$
$\Rightarrow$ $P(E \cap F) = \cfrac{4}{{52}} = \cfrac{1}{{13}} \ne \cfrac{2}{{13}} \times \cfrac{2}{{13}}$ $\Rightarrow$ $P(E \cap F) \ne P(E)P(F)$
$\Rightarrow$ $E$ and $F$ are not independent.