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Apr 7, 2014 at 23:39 comment added user-2147482637 yea in this situation it is anthropomorphic measurements, so theres no way I can sample a large population size to get my own estimate, but it does data weighs heavily on the project
Apr 7, 2014 at 23:38 vote accept user-2147482637
Apr 7, 2014 at 16:21 comment added ff524 @NateEldredge agreed, clarified in an edit
Apr 7, 2014 at 16:17 history edited ff524 CC BY-SA 3.0
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Apr 7, 2014 at 16:15 comment added Nate Eldredge Sure. I guess by "reliable" I meant "reliable enough for your purposes".
Apr 7, 2014 at 16:13 comment added ff524 @NateEldredge I would say it depends how much that value impacts the rest of the work. If you're using X as a "sane default" for something tangential, then an accepted but unreliable X is not such a concern; if your whole study hinges on X, then you have a major problem.
Apr 7, 2014 at 16:05 comment added Nate Eldredge I agree that you shouldn't ignore the existing data, and that it is appropriate to cite it. But you should not use if you aren't convinced that it is reliable. Of course, if you have no reliable data, and can't produce your own, then you might not be able to proceed with this project; that's just the way it is.
Apr 7, 2014 at 3:28 history edited ff524 CC BY-SA 3.0
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Apr 7, 2014 at 3:07 history answered ff524 CC BY-SA 3.0