Confusion regarding a probability problem A certain auditorium has 30 rows of seats. Row 1 has 11 seats, while Row 2 has 12 seats, Row 3 has 13 seats, and so on to the back of the auditorium where Row 30 has 40 seats. A door prize is to be given away by randomly selecting a row (with equal probability of selecting any of the 30 rows) and then randomly selecting a seat within that row (with each seat in the row equally likely to be selected). 
Now, 
1) Find the probability that Seat 15 was selected given that row 20 was selected ?
2) Find the probability that Row 20 was selected given that Seat 15 was selected ?
To answer the first, given that Row 20 was selected, there are 30 possible seats in Row 20 that are equally likely to be selected. Hence Pr(Seat 15 | Row 20) = 1/30. 
The same kind of argument can be given to answer the second : given that Seat 15 was selected, there are 30 possible rows that are equally likely to be selected. Hence Pr(Row 20 | Seat 15) = 1/30. 
Now, it turns out that the first answer is correct whereas the second answer is incorrect. My question is where am I making mistakes in computing the second answer ? 
 A: "given that Seat 15 was selected, there are 30 possible rows that are equally likely to be selected". This is incorrect; the rows are not equally likely to be selected. Conditioned on a particular seat number having been selected, it's more likely to have come from a smaller row with less alternatives.
For example, suppose there were only two rows, the first with just a Seat #1, the second with a Seat #1 and a Seat #2. 50% of the time, you pick Row #1 and 50% of the time, you pick Row #2. And within Row #2, you pick Seat #1 and Seat #2 equally as often. Then Row 1 Seat 1 gets chosen 50% of the time overall, Row 2 Seat 1 gets chosen 25% of the time overall, and Row 2 Seat 2 gets chosen 25% of the time overall. Which means, out of all the times Seat #1 gets chosen, it is in Row 1 twice as often as it is in Row 2. Pr(Row 1 | Seat 1) = 50%/(50% + 25%) = 2/3, rather than 1/2.
That same phenomenon is occurring here.
A: Let me put above answer in more simple way: (2nd case)
Standard formula for conditional probability is:
P(A|B) = P(A∩B)/P(B)
Let A is event of Row#20 selected
and B is event of Seat#15 selected
So, P(A∩B) = 1/30 * 1/30     (As 30 rows, and 30 seats in row#20)
and P(B) = SUM {for_each_row}: {prob_of_selecting_row}*{prob_of_B_in_that_row}. 
As prob. of selecting any row is same for each row,
P(B) = 1/30 * (1/15 + 1/16 + ... + 1/40)
So finally, 
P(A|B) = (1/30) / (1/15 + 1/16 +... + 1/40)
Done! 


*

*What was the mistake?
Selection of seat# is dependent on row selected, so selection of row# is not common for all row. You made mistake by taking P(Row#15)=1/30 for all possible row. 
A: I thought I will provide some intuition, as the answer is already given. The second answer is incorrect, because a) seat 15 is impossible to be selected for rows 1-4, and b) row 5 onwards, it is more likely to be selected for a lower numbered row.
So given seat 15 is selected, the chance of a particular row to have been picked is definitely not equally likely.
