I am mathematically disabled. Where would a 3.81 fall on a cuve (what %) with the following data points? Any help would be much appreciated.
GPA 3.81
25% - 3.358
33% - 3.262
50% - 3.071
Any statisticians out there?? Where would a 3.81 fall? Forum
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Re: Any statisticians out there?? Where would a 3.81 fall?
No way to know unless we know the distribution of the curve. But I suspect its really fucking high.UnKnO wrote:I am mathematically disabled. Where would a 3.81 fall on a cuve (what %) with the following data points? Any help would be much appreciated.
GPA 3.81
25% - 3.358
33% - 3.262
50% - 3.071
If its Gaussian solve the cdf

- jackassjim
- Posts: 184
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Re: Any statisticians out there?? Where would a 3.81 fall?
You find out what *tile position (median, quartiles, etc.) you're in without having access to all the other GPAs in the population (edit: or as the above poster says, you need info on the distribution). For instance, most of the top 25% might be clustered in one chunk in the 3.85-4 range, which means you would end up close to 25%. In contrast, if all those in the top 25% are clustered near the 3.3 threshold, then you might end up being top 1%. Bottom line: no one can answer your question.UnKnO wrote:I am mathematically disabled. Where would a 3.81 fall on a cuve (what %) with the following data points? Any help would be much appreciated.
GPA 3.81
25% - 3.358
33% - 3.262
50% - 3.071
- thesealocust
- Posts: 8525
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Re: Any statisticians out there?? Where would a 3.81 fall?
edit: never mind
Last edited by thesealocust on Wed Jun 30, 2010 8:41 pm, edited 1 time in total.
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Re: Any statisticians out there?? Where would a 3.81 fall?
Depends if your school ranks current class or uses rolling tables. It's probably ~ Top 5% or so on a distribution (see thesealocust math), but in a given class with a B median, you could be in the top few people. No curve requires that someone get straight A's; it's entirely possible for 1 or no people to do that in a semester.
You're just too high to really say with statistical certainty.
You're just too high to really say with statistical certainty.
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