jon_mx said:
shuke said:
jon_mx said:
Mr. Smith has two children. At least one of them is a boy. What is the probability that both children are boys?
1/3
There is a 1 in 3 chance that the other child is a boy.
But the probability that both children are boys is 1 in 4.
These are two different questions.
Wrong on both counts. If you learn the sex of a particular child, the odds of the sex of the other child is 50-50 between either being a boy or girl. This would be a situation such there are two cards on the table representing the sex of each child and you pick one and reveal the sex of one of the children.If you learn from someone who knows the sex of both child that at least one is a boy, then it is 1/3 chance that both are boys.
You're missing the point of variable change, which is what the Monty Hall example is about.
The probability of you picking the right door at the beginning is 33%, because each of the three doors has an equal probability of being right. However, the set of doors you didn't pick has a combined 67% chance of being right. The variable change occurs when Monty reveals one of the doors in the set you didn't pick. When this occurs no probability has changed. The probability of your door being the correct one is still 33%, and the combined probability of the set of doors you didn't pick is still 67%. In this case, you can benefit from changing your decision because of the variable change. You switch your answer because the variable change puts all the combined probability of the set of doors you didn't pick on one remaining door in the set.
Likewise, the probability of both children being boys is 25% and 75% probabile they are not both boys (which is combined set of: the first child being a boy is 25%; the second child being a boy is 25%; and neither children being boys is 25%). Revealing that at least one of them is a boy is like Monty Hall revealing a door that has a goat. When he does that variable change is introduced, but when variable change occurs probability does not change. There is still a 25% probability that both are boys and a 75% chance that they are not both boys. In this case the introduction does not provide you any advantage because you haven't made any decision we re you can benefit from changing your decision because of the variable change that has been introduced.
In these examples, variable change helps you make better decisions. It doesn't change probabilities. For the probabilities to change, the data has to change, not just be revealed.