Allows us to compare the concentration and absorbance

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General, Organic, & Biological Chemistry
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Chapter 16 / Exercise 16-107
General, Organic, & Biological Chemistry
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allows us to compare the concentration and absorbance of a standard solution or multiple standard solutions in a calibration curve to either the concentration or absorbance of an experimental solution to find the unknown concentration or absorbance.E. ReflectionThe amount of aspirin that we determined in each tablet differed greatly from what the bottles listed. For our Bayer tablet the bottle listed that the tablet is 82.9 % aspirin. However in our experiment we resulted with the percentage of 45.2 % aspirin. Our experimental percentage is quite a bit lower than the percentage advertised. This could simply be a result of the average tablet aspirin percentage being 82.9 % and the standard deviation of individual tablet percentages being quite large. The company could be advertising their tablet aspirin percentage falsely too. It is possible that we made a mistake during our experimental procedures, although I believe that our experiment valueseems reasonably accurate. However we must have made a mistake in our experimental procedures while preparing our Kroger tablet solution. I say this because the advertised aspirin percentage of the tablet is 86.7 % and our experimental percentage is 103 %. Our experimental percentage clearly indicates that we did something wrong during our
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General, Organic, & Biological Chemistry
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Chapter 16 / Exercise 16-107
General, Organic, & Biological Chemistry
Stoker
Expert Verified
experiment because it is impossible for there to be more grams of aspirin in a tablet than the total weight of the tablet. This would be a very impressive amount of aspirin in the Kroger tablet if it weren’t impossible though.If we were to try to find the concentration of aspirin in each of our tablets by comparing them to a single standard solution data point instead of our standard calibration curve our results would have the potential of being much less accurate. This isbecause one data point of a standard solution could be an outlier and we would have no idea. However when many data points are used together to make a calibration curve outliers can be spotted easily. These outliers could then be removed the set of data to make the calibration curve more accurate. In general using a calibration curve will generate results numerically closer to the actual concentration, or whatever variable you are trying to find, than using a single standard data point.

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