Answer:
4.375
Explanation:
Let random variable be X represent the result of toss coin
Let Y be the random variable represent number on dice.
Probability of getting heads = P(H) = 1/2
Probability of getting tails = P(T) = 1/2
Probability of getting number ob die
P(1) = P(2) = P(3) = P(4) = P(5) =P(6) = 1/6
Expected winning when coin landed head
[tex]E_{Head}(\dfrac{Y}{X}) = E(2Y).P(X = H)[/tex]
=[tex]2. \dfrac{1}{2}(1.\dfrac{1}{6}+2.\dfrac{1}{6}+3.\dfrac{1}{6}.......+6..\dfrac{1}{6})[/tex]
= 3.5
Expected winning when coin landed tails
[tex]E_{Tails}(\dfrac{Y}{X}) = E(\dfrac{1}{2}Y).P(X = T)[/tex]
=[tex]\dfrac{1}{2}. \dfrac{1}{2}(1.\dfrac{1}{6}+2.\dfrac{1}{6}+3.\dfrac{1}{6}.......+6..\dfrac{1}{6})[/tex]
= 0.875
Expected winning
= [tex]E_{Head}(\dfrac{Y}{X}) + E_{Tails}(\dfrac{Y}{X})[/tex]
= 3.5 + 0.875
= 4.375