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Day 3: Conditional Probability
Day 3: Conditional Probability
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the question should change to really address conditional probability. The sex of one child is not affecting the sex of the other, so, in whatever scenario, conditional probability doesn´t appear.
One scenario that I would like to talk about (even if it is still not related to conditional probability) is if the probability would change if the question would be about the sex of the SECOND child, being that the sex of the first child is boy. In this case, the sample would only contain two states, thus the probability asked would be 1/2, instead of 1/3, right? The thing is that this really resontes with me about prior knowledge (the context in which bayes theorem makes sense) so, i am confused
This isn't a well thought out question. Firstly, guessing the sex of one child is always 1/2. Secondly, ordering doesn't matter. Even if you map it out as {BB, GG, BG, GB}, GG isn't possible and {GB,BG} are the same so you still end up with 1/2.
I think I figured it out via naive reasoning. We know that they have two kids, so, marking a boy as 1 and a girl as 0, there are four options as to what they can be: 00, 01, 10 and 11. Now, we know that one is a boy, so it can't be 00. Thus, there are three options, of which only one, option 11, is what we are looking for. Thus the probability is 1/3.
Sex probability is an INDEPENDENT event. Thus every time the sex is 50/50.
This is a bad example of conditional probability. How does the sex of the first child affect the probability of the sex of the second child? These are independent events.