Comparing subsample distribution vs whole sample

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SUMMARY

The discussion centers on the challenge of comparing the distribution of a subsample of approximately 100 measurements to a whole sample of around 280 measurements, specifically after removing non-replicate measurements. The user seeks a statistical test suitable for dependent groups, as the measurements include both replicates and non-replicates. The primary concern is ensuring that the subsample accurately reflects the distribution of the entire dataset despite the lack of independence among the data points.

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labrookie
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Hello,

I have sample of ~280 measurements. Some are replicates and some are not. I want to remove the measurements that have no replicates, so that I can apply various modeling techniques that need mean/stdev data.

I would like to show that my subsample of ~100 measurements statistically has the same distribution as the whole sample.

What kind of test can I use for this? I believe my difficulty here is that they are not independent groups of data.

Thank you.
 
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labrookie said:
I believe my difficulty here is that they are not independent groups of data.

I believe your difficulty in getting a reply is due to the fact that no one can figure out what you mean by a "replicate".
 

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