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Guys, I also struggled with this question for quite a while too. But I feel that students in this discussion are thinking about it wrongly. This is not a stats or a quant question.

It is truly just a verbal/RC style question, where you have to identify/recognise whether or not the STATISTICIAN'S ESTIMATE of the probabilities of a certain event to take place is provided in the above paragraph/the information provided to you.

Look closely at the other options. The information provided DOES NOT contain the probability estimates of those events, as given by the statistician. Take any other X,Y combination, and you will see that the information provided DOES NOT give us the statistician's estimate of the probabilities of that event (in that order) happening.

It's not a stats question saying "if X happens, then what WILL happen with 100% probability". It is just saying, "do we know the stats dude's estimate of the probability of this happening". And the inference "If X happens then what is the probability of Y happening by more than 50%" to me seems blatantly wrong. GMAC isn't a fool - and that is definitely a poor inference in my opinion.
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This is an excellent way of looking at things!
Basically saying hey if you know X is it sufficient for you to find the exact probability from info given of Y happening!
avohra223
Guys, I also struggled with this question for quite a while too. But I feel that students in this discussion are thinking about it wrongly. This is not a stats or a quant question.

It is truly just a verbal/RC style question, where you have to identify/recognise whether or not the STATISTICIAN'S ESTIMATE of the probabilities of a certain event to take place is provided in the above paragraph/the information provided to you.

Look closely at the other options. The information provided DOES NOT contain the probability estimates of those events, as given by the statistician. Take any other X,Y combination, and you will see that the information provided DOES NOT give us the statistician's estimate of the probabilities of that event (in that order) happening.

It's not a stats question saying "if X happens, then what WILL happen with 100% probability". It is just saying, "do we know the stats dude's estimate of the probability of this happening". And the inference "If X happens then what is the probability of Y happening by more than 50%" to me seems blatantly wrong. GMAC isn't a fool - and that is definitely a poor inference in my opinion.
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rishabhj197

Here how do you decide that 'A goal is scored in the first half(55%) is X and 'the games where one or more goals are scored' is Y and not the other way round. Having a tough time establishing which is the bigger set here.
official explanation



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I spent 10 minutes on this one and thought all answers are wrong. It turns out that I missed several words.
The question asks [explicitly includes the statistician's estimates of the probability that if X occurs, so will Y].
I just skimmed through the bold and underlined portion and thought it asks [if X happen, then Y must happen]. Didn't pay attention to the prompt, which asks only if I could deduce the Probability of Y...
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Official Answer Explanation (from GMAC):

Recognize


The key information for determining outcomes X and Y such that if X occurs, then so does Y is “When that team (where ‘that team’ refers to the team that scores the first goal) is the home team ..., there is ... a 60% chance that it (where ‘it’ refers to the other team) will score one or more goals.” Therefore, from the given information, if the home team scores the first goal, the statistician’s estimate of the probability that the team opposing the home team scores at least one goal is 0.6.

RO1: Recognize

The correct answer is The home team scores the first goal.


RO2: Recognize

The correct answer is The team opposing the home team scores at least one goal.
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I also got confused with the phrase "the probability that if X occurs, so will Y", and here's what Claude has to say about it:

Quote:
The statement "the probability that if X occurs, so will Y" refers to the likelihood of Y happening given that X has already occurred. In other words, it asks: "If X happens, how likely is it that Y will also happen?", i.e. conditional probability - p(Y|X)
And that resolves my doubt, and the answer seems in coherence with this logic.
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Honestly I hate this question, but here is what I finally was able to understand:

Events:

W -> Team wins
L -> Team loses
D -> Team Draws
H -> Home Team
F -> Team that scores the first goal
H1 -> First goal in First half
H2 -> First goal in second half
OP1 -> Opponent scores at least one goal
OP0 -> Opponent scores 0 goals

What is the question asking, find for X and Y such that the statisticians estimate for P(Y|X) is given.

So let's put the statisticians estimates into the form P(X|Y):


P(W|H) = 0.45 (Given that the team is home team, the prob of that team winning)
P(L|H) = 0.25 (Given that the team is home team, the prob of that team losing)
P(D|H) = 0.3 (Given that the team is home team, the prob of that team drawing)

P(H1|F) = 0.55 (Given that the team is the one that scores the first goal, the prob of that goal happening in the first half)
P(H2|F) = 0.45 (Given that the team is the one that scores the first goal, the prob of that goal happening in the Second half)

P(OP1| F & H) = 0.6 (Given that the team that scores the first goal is the home team, the prob that the opponent scores at least one goal)
P(OP0| F & H) = 0.4 (Given that the team that scores the first goal is the home team, the prob that the opponent scores 0 goals)

Now let's look at the options:


The home team scores at least two goals in the game. (Scoring multiple goals is talked about for the opponent not the home team. This prob is not given)
The home team scores the first goal. (We have probabilities where this happens P(OP1| F & H) & P(OP0| F & H))
A goal is scored in the first half of the game. (We don't care about a goal, but instead the first goal. None of the prob given are related to just a goal)
A goal is scored in the second half of the game. (We don't care about a goal, but instead the first goal. None of the prob given are related to just a goal)
The team opposing the home team scores at least one goal. (We have a probability where this happens P(OP1| F & H))

So we have exactly P(OP1 | F & H) = 0.6. So therefore X = The home team scores the first goal. (F&H) ; Y = The team opposing the home team scores at least one goal. (OP1)
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