Elvis had a twin brother (who died at birth).
Historically, approximately $1/125$ of all births were fraternal twins and 1/300 were identical twins. The probability that Elvis was an identical twin is approximately . . .
I'm trying to understand how to apply Bayes Theorem. To try to solve this problem above, I tried to apply Bayes Theorem by plugging in values.
Let $I$ be: Being an identical twin
Let $B$ be: Having an identical twin brother
We want to calculate $P(I|B)$.
Using Bayes, $P(I|B)=P(I)*P(B|I)/P(B)$
$P(I)=1/300$
$P(B|I)=1$ because we know that Elvis is male, so the chance of having an twin brother if we assume Elvis is an identical twin is $100\%$
$P(B)=?$
How do I calculate what the chance of having an twin brother is generally? It seems like I can't apply Bayes theorem if I can't calculate this value.
There is a slight ambiguity in your data (are births completed pregnancies or children?) but it does not affect the answer. Also, more boys are born than girls and such patterns may be different with twins, but let's assume not here
So if
probability of a child being an identical twin (and twin sibling being the same sex) is $\frac1{300} \times 1$
probability of a child being a fraternal twin and twin sibling being the same sex is $\frac1{125}\times \frac12$
then the probability of a child being an identical twin given a twin sibling is the same sex is $$\frac{\frac1{300} \times 1}{\frac1{300} \times 1+\frac1{125}\times \frac12} =\frac{5}{11}$$