B What Is the Probability of Scoring in the 88th Percentile for a Trait as a Male?

AI Thread Summary
The discussion centers on calculating the probability of scoring in the 88th percentile for a personality trait as a male. The user is confused about how to incorporate the percentile score into a probability framework, especially since they are mixing continuous and binary traits. They clarify that while they can express their score in terms of percentiles, the probability of a specific IQ score doesn't directly translate to a probability statement. The conversation suggests using Bayes' theorem to find the probability of being in the 88th percentile given male status, emphasizing the need for a distribution of scores among males. Ultimately, the user is encouraged to formulate the problem using the correct probabilistic expressions.
James Brady
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I scored in the 88th percentile in a certain personality trait and am trying to figure out the probability of that given that I'm male. I'm trying the likelihood that I would land in the 88th percentile given that I'm male.

Definitions: T = trait, M = males, F = female.
Given:
P(T|M) = 0.3
P(T|F) = 0.6

I'm actually having trouble formulating this in mathematical terms even. I'm not sure where the 0.88 comes into play.
 
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P(T) doesn't make sense for a continuous trait, and percentiles don't make sense for a binary trait.
 
So it looks like I'm having to mix binary (male vs female) and continuous (percentile) probabilities and I'm not sure where to starts.
 
The male vs female part is not problematic. It is P(T) that is problematic. Let's say that T is IQ. Then it makes sense to say "I scored in the 88th percentile on IQ", meaning that IQ is a continuous trait and yours is larger than 88% of the population.

But what doesn't make sense is P(IQ). Everybody has an IQ, it isn't a probabilistic thing. What is probabilistic is the score. So you might say P(IQ>100), but you would never say P(IQ)
 
Oh... So I would formulate it as P(IQ>0.88|M)?
 
0.88 is not a realistic IQ value.
You can ask for P(IQ>yourIQ|M) but that's what you want to get, not what you have given.
James Brady said:
Given:
P(T|M) = 0.3
P(T|F) = 0.6
Where does that come from?
 
@mfb That's completely made up. I'm just trying to get a grasp on how to work with the numbers.
 
Ideally you have the full distribution for males and females, or at least some way to estimate that. Otherwise it will be a lot of guesswork.
 
James Brady said:
Oh... So I would formulate it as P(IQ>0.88|M)?
That is close. You can have the probability of one event given another event. That would be like P( In88Percentile | M ). If you know the fraction of males in the 88th percentile, that is the answer.
 
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James Brady said:
Oh... So I would formulate it as P(IQ>0.88|M)?
Pretty close. If x is IQ for the 88th percentile then you would write it as P(IQ>x|M).

So, for convenience (I am on a mobile device) let's say X is "a person has a score for T which is in the 88th percentile or higher". Then your question is to find P(X|M). The way to do that is with Bayes theorem:

P(X|M) = P(M|X) P(X)/P(M)

Can you work it out from there?
 
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