Must all equal values be in the same quartile

  • Context: High School 
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Discussion Overview

The discussion revolves around the distribution of values into quartiles, particularly focusing on the treatment of equal values within quartiles and the challenges posed by small sample sizes. It addresses both theoretical and practical aspects of quartile calculation and percentile distribution.

Discussion Character

  • Technical explanation
  • Homework-related
  • Debate/contested

Main Points Raised

  • Alex questions whether all equal values must be placed in the same quartile, even if this results in unequal groups.
  • Alex asks how to handle situations where the number of values cannot be evenly divided by four, specifically with 10 values, and inquires about the appropriate distribution of quartiles in such cases.
  • Mathman suggests that to achieve exact quartiles, the number of samples must be divisible by four, and similarly for percentiles, which must be divisible by 100, implying that approximations are necessary otherwise.
  • Another participant emphasizes that for small samples, one should not expect normal curve behavior and suggests using software for binning to avoid operator bias.
  • Alex clarifies that they cannot use software and is seeking guidance for tutoring high school students on this topic.

Areas of Agreement / Disagreement

Participants express differing views on the handling of equal values in quartiles and the implications of small sample sizes. There is no consensus on how to best approach quartile distribution in these contexts.

Contextual Notes

The discussion highlights limitations related to small sample sizes and the challenges of achieving exact quartile distributions when the number of values is not divisible by four.

alexbib
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Posted this in the stats section, but nobody seems to be reading that section...

I have a few questions about distributing values into quartiles:

1.must all equal values be in the same quartile, even if that makes you create (sometimes very)unequal groups?

2.what do you do when your number of values cannot be divided by 4? Say I have 10 values, do I make the quartiles 3-2-3-2, 2-3-3-2, or something else?

About percentiles, what do you do when you have less than 100 values?


I know stats isn't meant to be used on small numbers of values, but I am tutoring two high school students and couldn't answer these questions.

Thanks,

Alex
 
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I believe you are trying to make a mountain out of a mohill. Specifically, to have EXACT quartiles, the number of samples has to divisible by 4, similiarly for percentiles, divisible by 100. Otherwise you are stuck with approximations.
 
In addition to what mathman said, you shouldn't try to make your quartile "look like" some preconceived idea. For small samples, you can't expect to see any normal curve behavior. And perhaps your data doesn't fall on a normal curve anyway. Best to use software to do your binning to avoid operator bias.
 
Unfortunately, I cannot use software. I have these questions because I am tutoring high school students who have written tests about dividing small samples into quartiles.
 

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