Parallax error - what type of error is it?

AI Thread Summary
Parallax error is identified as a systematic error rather than a random error, as it arises from the observer's viewpoint being different from the observed object during measurements. This type of error is repeatable and can be controlled, allowing for consistent results across multiple observations. While systematic errors typically involve a fixed amount of deviation, parallax error can still yield the same error across readings due to the consistent nature of the viewpoint discrepancy. Proper care in measurement can help eliminate parallax error. Understanding this distinction is crucial for accurate data interpretation in experiments.
skyglow1
My friends are having an argument as to whether parallax error is systematic or random error. We have tried looking all around in books/internet etc but nothing mentions what type of error it is. Any help would be appreciated :)
 
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Hi, Skyglow;
Welcome to PF. I'm not sure under what circumstances this error is encountered in regard to your question. Parallax simply involves a different viewpoint. If I understand your question correctly, then it is a systematic error, not random. It would mean that the observer and the obsrerved are not in the same spatial relationship during multiple observations.
 
Parallax is a systematic error. It should be very repeatable, and can be eliminated with some care.
 
Agreed. Paralax is not a function of the operation of the experiment. It is an error you usually have control over and can repeat (like Integral mentioned).

Look here: http://www.chem1.com/acad/webtext/matmeasure/mm4.html
note the section on systematic error.
 
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Lol my friends not completely satisfied. He asks that if the definition of systematic error is always to be off by a fixed amount, how can you repeat parallax error so that it gives the same amount of error for every reading?
 
With no offence intended, tell your friend to register his ass on here and question us himself. :biggrin:
 
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