Answer:
a)

Since we have all the possible values we can replace:

And that would be the proportion of residents who use E-Harmony
We can find the P(A1nE) and P(A2nE) with the following formulas:

b) For this case we want this probability

And from the Bayes conditional probability we have this:

Explanation:
Notation
represent the event resident between 18 and 29 years old
represent the event resident between 30 and 49 years old
represent the event resident is >50 yeard old
represent the event the residen tuse E-Harmony
From the problem we have the following probabilities:

And we have conditional probabilites also given:

The other probability assumed since the problem is incomplete is:

Part a
For this case we can use the total probability rule given by:

Since we have all the possible values we can replace:

And that would be the proportion of residents who use E-Harmony
We can find the P(A1nE) and P(A2nE) with the following formulas:

Part b
For this case we want this probability

And from the Bayes conditional probability we have this:
