Calculating Sample Size with Unknown Distribution and Given Statistics

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SUMMARY

The discussion centers on calculating sample size with unknown distribution and given statistics, specifically focusing on a scenario where the 90th percentile is 10, with three observations at or above this value. The initial assumption of 30 observations is incorrect, as it is possible to have only three samples, all equal to 10. Additional statistics provided, including a mean of 7, a median of 6, and a standard deviation of 2, further complicate the sample size determination, highlighting the nuances in interpreting percentiles.

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  • Familiarity with basic descriptive statistics: mean, median, and standard deviation
  • Knowledge of sample size determination techniques
  • Experience with data distribution types and their implications
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cdm1a23
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Hi everyone,

Quick question. If you have a given sample of unknown size, and unknown distribution, but you know the following:

1 - 90th percentile equals 10

2 - There are three observations that are 10 or greater

Is it correct to assume there are 30 observations in that sample?

Now what if I add the following data:

3 - The mean is 7

4 - The median is 6

5 - The standard deviation is 2

This was a question on our last test, and I was just curious about it.

Thanks!
 
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It depends on your precise definition of percentile. The initial assumption is not correct under one way of interpreting percentiles. There might be precisely 3 samples, for example. All of them equal to 10. Then all percentiles are equal to 10. Some might not allow that as an example, though. I'm not entirely sure what is 'correct'.
 

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