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Uncertainty may be implied by the last significant figure if it is not explicitly expressed. [1] The implied uncertainty is ± the half of the minimum scale at the last significant figure position. For example, if the mass of an object is reported as 3.78 kg without mentioning uncertainty, then ± 0.005 kg measurement uncertainty may be implied.
A volumetric pipette, bulb pipette, or belly pipette [1] allows extremely accurate measurement (to four significant figures) of the volume of a solution. [2] It is calibrated to deliver accurately a fixed volume of liquid.
Significant figures, the digits of a number that carry meaning contributing to its measurement resolution Topics referred to by the same term This disambiguation page lists articles associated with the title SigFig .
SigFig (formerly Wikinvest) is a financial technology company based in San Francisco that builds robo-advisory and customer engagement software. SigFig's robo advice platform is available directly to consumers via web and mobile app. SigFig also white-labels its platforms to financial institutions, including Wells Fargo and UBS.
Volumetric pipettes or bulb pipette allow the user to measure a volume of solution extremely precisely (precision of four significant figures). These pipettes have a large bulb with a long narrow portion above with a single graduation mark as it is calibrated for a single volume (like a volumetric flask ).
The standard technique for handling a graduated pipette is to hold the pipette tip dipped in the solution without touching the bottom of the beaker. Then use a propipetter, a pipette bulb, or rubber bulb , to draw the liquid into the pipette.
Relative uncertainty is the measurement uncertainty relative to the magnitude of a particular single choice for the value for the measured quantity, when this choice is nonzero. This particular single choice is usually called the measured value, which may be optimal in some well-defined sense (e.g., a mean, median, or mode). Thus, the relative ...
In physical experiments uncertainty analysis, or experimental uncertainty assessment, deals with assessing the uncertainty in a measurement.An experiment designed to determine an effect, demonstrate a law, or estimate the numerical value of a physical variable will be affected by errors due to instrumentation, methodology, presence of confounding effects and so on.