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Q: What are the sources of error in spectrophotometry?
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What are the sources of error in a solubility lab containing potassium crystal


What are types of spectrophotometry?

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What are sources of error in a titration?

parallax error - reading of volume of burette


What is difference between photospectrometry and spectrophotometry?

There is no such thing as photospectrometry. It's sometimes used when actually meaning spectrophotometry. This usage is incorrect.


What is compound error and what are sources of it?

A compounded error is an error caused by something which is unforeseen, such as extreme weather conditions.


What is atomic spectrophotometry?

spectrophotometry is a branch of spectroscopy dealing with measurement of radiant energy transmitted or reflected by a body as function of wave lenght %


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How do you determine heavy metal in water?

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What are sources of error in principle of moments experiment?

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What are sources of systematic error in a titration experiment?

Sources of systematic error in a titration experiment include inaccurate calibration of equipment, presence of impurities in the reactants, improper mixing or rinsing of glassware, and deviations from ideal titration conditions (temperature, pH, etc.). These errors can lead to inaccuracies in the volume of titrant delivered or the endpoint detection, affecting the results of the titration.


What is the definition of Spectrophotometry?

The term "Spectrophotometry" refers to an instrument that is often used to determine the intensity of the various wavelengths in a spectrum of light. This tool is a part of analytical chemistry.


What Potential sources of error in research design?

Survey error is the extent to which findings from the survey sample differ from those of the population of interest. The large nationally representative surveys discussed here are designed to minimize error. Nevertheless, it is impossible to eliminate all of the multiple potential sources of error. Investigators must identify and consider how potential survey error can bias the results of their analyses. Statistical strategies can minimize the impact of these potential sources of error on study findings.