|
|
|
|
|
by Majromax
300 days ago
|
|
In all of these questions, you're making an assumption about the data-generating process. In Q1 and Q2, you're assuming that you had a 0% chance (a priori) of hearing that 'neither is a (girl/boy)', and in Q3 you're assuming that there's a 0% chance of hearing that the envelope doesn't match the family. Take a look at this problem beginning with no assumptions. We have two kids, and an envelope that contains 'B' or 'G'. Our probability space is (B,G)^3, with each having probability of 1/8. Now, we add information about the match as conditioning. Conditional on being told that the envelope matches the family, we can exclude the BBG and GGB cases. That brings us down to 6, of which we have BBB, GGG, and (BG,GB)(B,G). With this additional information, the probability of matching genders becomes 1/3. This probability is still 1/3 if we open the envelope to find B or G, since we exclude all three cases where the envelope doesn't match our observation of it. In my view, this is related to the Monty Hall problem; we have to realize that we're given additional information with the statement/envelope. |
|
This is equivalent to the host never opening the door with the car in the Monty Hall scenario