A normal deck of 52 playing cards is well shuffled and then 4 cards are dealt to Ann and 4 cards ar dealt to Bob. Ann looks at her c that all 4 of them are from the same suit, that suit being hearts. She is interested in the probability that Bob also has 4 cards that belong to a single suit, allowing for her knowledge of the cards she holds.
Please correct my answer if it is incorrect: $$\text{Probability}=P(\text{Bob has all hearts} |\text{Ann has all hearts})+P(\text{Bob has all clubs/spades/diamonds}|\text{Ann has all hearts})$$
$$=\frac{\binom{9}{4}}{\binom{48}{4}}+\frac{\binom{3}{1}\times\binom{13}{4}}{\binom{48}{4}}$$
$$=\frac{757}{64860}$$
I am aware that this is a conditional probability, but I was unsure how to apply Bayes' Theorem in this scenario.
$P(A)$ = P(Anne has all hearts) =$$\frac{ ^{13}C_4}{^{52}C_4}$$ $P(B)$ = P(Bod has same suite) =$$\frac{^{13}C_4\cdot ^3C_1+^9C_4}{^{52}C_4}$$
P(A ∩ B)=$$\frac{(^{13}C_4 \cdot 3+ ^{9}C_4)\cdot ^{13}C_4}{^{52}C_8}$$
You get: $$P(B\mid A)=(\frac {(^{13}C_4 \cdot 3+ ^{9}C_4)\cdot ^{13}C_4}{^{52}C_8 })\cdot(\frac{^{52}C_4}{^{13}C_4})$$