Estimated Error Of Measuring Cylinder
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Uncertainty Of Measuring Cylinder
in Sign in Registration Forgot password Expand/collapse global hierarchy Home Core Analytical Chemistry percentage error of measuring cylinder Quantifying Nature Expand/collapse global location Uncertainties in Measurements Last updated 11:37, 3 Sep 2015 Save as PDF Share Share Share Tweet percentage error of equipment Share IntroductionSystematic vs. Random ErrorA Graphical RepresentationPrecision vs. AccuracyCalculating ErrorMethods of Reducing ErrorReferencesProblemsSolutions All measurements have a degree of uncertainty regardless of precision and accuracy. This is caused by two factors, the limitation of
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the measuring instrument (systematic error) and the skill of the experimenter making the measurements (random error). Introduction The graduated buret in Figure 1 contains a certain amount of water (with yellow dye) to be measured. The amount of water is somewhere between 19 ml and 20 ml according to the marked lines. By checking to see where the bottom of the meniscus lies, referencing the ten smaller lines, the
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amount of water lies between 19.8 ml and 20 ml. The next step is to estimate the uncertainty between 19.8 ml and 20 ml. Making an approximate guess, the level is less than 20 ml, but greater than 19.8 ml. We then report that the measured amount is approximately 19.9 ml. The graduated cylinder itself may be distorted such that the graduation marks contain inaccuracies providing readings slightly different from the actual volume of liquid present. Figure 1: A meniscus as seen in a burette of colored water. '20.00 mL' is the correct depth measurement. Click here for a more complete description on buret use, including proper reading. Figure used with permission from Wikipedia. Systematic vs. Random Error The diagram below illustrates the distinction between systematic and random errors. Figure 2: Systematic and random errors. Figure used with permission from David DiBiase (Penn State U). Systematic errors: When we use tools meant for measurement, we assume that they are correct and accurate, however measuring tools are not always right. In fact, they have errors that naturally occur called systematic errors. Systematic errors tend to be consistent in magnitude and/or direction. If the magnitude and direction of the error is known, accuracy can be
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